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1.
Rev. bras. med. esporte ; 27(5): 456-459, July-Sept. 2021. tab, graf
Article in English | LILACS | ID: biblio-1288616

ABSTRACT

ABSTRACT Introduction: The integrity of articular cartilage determines the functional state of the joint. In recent years, the development of MRI sequences of various articular cartilage has become the focus of many research topics. Objective: The accuracy of diagnosis of knee cartilage injury caused by motion injury was studied retrospectively by meta-three-dimensional software. Methods: Forty-six knee joints of 45 patients with sports injuries, multi-sequence MRI was performed before surgery, including conventional knee MRI (SET1WI, FSEPD/T2WI), 3D SPGR, and 3D FIESTA sequences. Results: According to the operation results, the sensitivity, specificity, positive predictive value, and negative predictive value of 3D SPGR combined with conventional MRI sequence evaluation of cartilage damage are the highest, 73%, 98%, 95%, and 90%. Conclusions: 3D SPGR combined with conventional MRI sequences can improve accurate evaluation and diagnosis of cartilage disease over a reasonable scan time. Level of evidence II; Therapeutic studies - investigation of treatment results.


RESUMO Introdução: A integridade da cartilagem articular determina o estado funcional da articulação. Nos últimos anos, o desenvolvimento de sequências de ressonância magnética de várias cartilagens articulares se tornou o foco de muitos tópicos de pesquisa. Objetivo: A precisão do diagnóstico de lesão da cartilagem do joelho causada por lesão de movimento foi estudada retrospectivamente por software meta-tridimensional. Métodos: Quarenta e seis articulações de joelho de 45 pacientes com lesões esportivas, várias sequências de ressonância magnética foram realizadas antes da cirurgia, incluindo ressonância magnética de joelho convencional (SET1WI, FSEPD / T2WI), 3D SPGR e sequências 3D FIESTA. Resultados: De acordo com os resultados da operação, a sensibilidade, especificidade, valor preditivo positivo e valor preditivo negativo de 3D SPGR combinado com avaliação de sequência de ressonância magnética convencional de danos na cartilagem são os mais altos, 73%, 98%, 95% e 90%. Conclusões: 3D SPGR combinado com sequências convencionais de ressonância magnética pode melhorar a avaliação precisa e diagnóstico de doença da cartilagem em um tempo de varredura razoável. Nível de evidência II; Estudos terapêuticos- investigação dos resultados do tratamento.


RESUMEN Introducción: La integridad del cartílago articular determina el estado funcional de la articulación. En los últimos años, el desarrollo de secuencias de resonancia magnética de varios cartílagos articulares se ha convertido en el foco de muchos temas de investigación. Objetivo: La precisión del diagnóstico de la lesión del cartílago de la rodilla causada por una lesión por movimiento se estudió retrospectivamente mediante un software meta-tridimensional. Métodos: Cuarenta y seis articulaciones de rodilla de 45 pacientes con lesiones deportivas, se realizó una resonancia magnética de secuencia múltiple antes de la cirugía, incluida la resonancia magnética de rodilla convencional (SET1WI, FSEPD/T2WI), secuencias 3D SPGR y 3D FIESTA. Resultados: De acuerdo con los resultados de la operación, la sensibilidad, la especificidad, el valor predictivo positivo y el valor predictivo negativo de 3D SPGR combinados con la evaluación de la secuencia de resonancia magnética convencional del daño del cartílago son los más altos, 73%, 98%, 95% y 90%. Conclusiones: 3D SPGR combinado con secuencias de resonancia magnética convencionales puede mejorar la evaluación y el diagnóstico precisos de la enfermedad del cartílago en un tiempo de exploración razonable. Nivel de evidencia II; Estudios terapéuticos- investigación de los resultados del tratamiento.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Young Adult , Athletic Injuries/diagnostic imaging , Image Processing, Computer-Assisted , Trauma Severity Indices , Knee Injuries/diagnostic imaging , Predictive Value of Tests , Retrospective Studies , Sensitivity and Specificity
2.
Rev. bras. med. esporte ; 27(4): 367-371, Aug. 2021. graf
Article in English | LILACS | ID: biblio-1288608

ABSTRACT

ABSTRACT Objective: To study the relationship between aerobic activity and cardiac autonomic nerve activity by artificial neural network algorithm and biological image fusion; because of the artificial neural network model (ANN) problems, biological image processing technology is introduced based on ANN. Methods: An Ann under biological image intelligence algorithm is proposed, a classifier suitable for electrocardiograph (ECG) screening is designed, and an ECG signal screening system is successfully established. Moreover, the data set of normal recovered ECG signals of the subjects during the experimental period is constructed, and a classifier is used to extract the characteristic data of a normal ECG signal during the experimental period. Results: The changes in resting heart rate and other physical health indicators are analyzed by combining resting physiological indicators, namely heart rate, body weight, body mass index and body fat rate. The results show that the self-designed classifier can efficiently process the ECG images, and long-term regular activities can improve the physical conditions of most people. Most subjects' body weight and body fat rate decrease with the extension of experiment time, and the resting heart rate decreases relatively. Conclusions: Certain indicators can be used to predict a person's dynamic physical health, which indicates that the experimental research of index prediction in this research has a good effect, which not only extends the application of artificial neural network but also lays a foundation for the research and implementation of ECG intelligent testing wearable devices. Level of evidence II; Therapeutic studies - investigation of treatment results.


RESUMO Objetivo: Com o objetivo de estudar a relação entre atividade aeróbia e atividade nervosa autonômica cardíaca por algoritmo de rede neural artificial e fusão biológica de imagens, tendo em vista os problemas existentes no modelo de rede neural artificial (RNA), é introduzida a tecnologia de processamento biológico de imagens com base em ANN. Métodos: um algoritmo de inteligência biológica de imagem Ann é proposto, um classificador adequado para triagem eletrocardiográfica (ECG) é projetado e um sistema de triagem de sinal de ECG é estabelecido com sucesso. Além disso, o conjunto de dados de sinais de ECG normais recuperados dos sujeitos durante o período experimental é construído e um classificador é usado para extrair os dados característicos de um sinal de ECG normal durante o período experimental. Resultados: As alterações na frequência cardíaca em repouso e outros indicadores de saúde física são analisadas pela combinação de indicadores fisiológicos de repouso, a saber, frequência cardíaca, peso corporal, índice de massa corporal e índice de gordura corporal. Os resultados mostram que o classificador autodesenhado pode processar com eficiência as imagens de ECG, e as atividades regulares de longo prazo podem melhorar as condições físicas da maioria das pessoas. O peso corporal e a taxa de gordura corporal da maioria dos indivíduos diminuem com a extensão do tempo do experimento, e a freqüência cardíaca em repouso diminui relativamente. Conclusões: Certos indicadores podem ser usados para prever a saúde física dinâmica de uma pessoa, o que indica que a pesquisa experimental de predição de índice nesta pesquisa tem um bom efeito, que não apenas estende a aplicação da rede neural artificial, mas também estabelece uma base para a pesquisa e implementação de dispositivos vestíveis de teste inteligente de ECG. Nível de evidência II; Estudos terapêuticos- investigação dos resultados do tratamento.


RESUMEN Objetivo: Para estudiar la relación entre la actividad aeróbica y la actividad del nervio autónomo cardíaco mediante el algoritmo de red neuronal artificial y la fusión de imágenes biológicas, ante los problemas existentes en el modelo de red neuronal artificial (ANN), se introduce la tecnología de procesamiento de imágenes biológicas basada en ANA. Métodos: Se propone un algoritmo de inteligencia de imagen biológica de Ann, se diseña un clasificador adecuado para el cribado electrocardiógrafo (ECG) y se establece con éxito un sistema de cribado de señales de ECG. Además, se construye el conjunto de datos de las señales de ECG recuperadas normales de los sujetos durante el período experimental, y se utiliza un clasificador para extraer los datos característicos de una señal de ECG normal durante el período experimental. Resultados: Los cambios en la frecuencia cardíaca en reposo y otros indicadores de salud física se analizan combinando indicadores fisiológicos en reposo, a saber, frecuencia cardíaca, peso corporal, índice de masa corporal y tasa de grasa corporal. Los resultados muestran que el clasificador de diseño propio puede procesar de manera eficiente las imágenes de ECG, y las actividades regulares a largo plazo pueden mejorar las condiciones físicas de la mayoría de las personas. El peso corporal y la tasa de grasa corporal de la mayoría de los sujetos disminuyen con la extensión del tiempo del experimento, y la frecuencia cardíaca en reposo disminuye relativamente. Conclusiones: Ciertos indicadores pueden usarse para predecir la salud física dinámica de una persona, lo que indica que la investigación experimental de predicción de índices en esta investigación tiene un buen efecto, lo que no solo extiende la aplicación de la red neuronal artificial sino que también sienta las bases para la investigación. e implementación de dispositivos portátiles de prueba inteligente de ECG. Nivel de evidencia II; Estudios terapéuticos- investigación de los resultados del tratamiento.


Subject(s)
Humans , Running/physiology , Autonomic Nervous System/physiology , Image Interpretation, Computer-Assisted/methods , Neural Networks, Computer , Heart Rate/physiology , Algorithms , Image Processing, Computer-Assisted , Electrocardiography
3.
Gac. méd. boliv ; 44(1): 92-95, jun. 2021. ilus
Article in Spanish | LILACS | ID: biblio-1286579

ABSTRACT

La hipertrofia de labios menores es la prolongación de estos más allá de los límites anatómicos de los labios mayores. La creencia de la simplicidad en la reducción de los labios menores y la falla en observar importantes aspectos de la técnica quirúrgica que llevan a la resección total del labio. En tales casos, la cirugía reconstructiva es la única forma posible de rectificar la situación. Presentamos el caso de una mujer de 36 años que acude por amputación de los labios menores secundario a cirugía de labioplastia por hipertrofia realizada por médico esteticista. Se realiza reconstrucción de labios menores en dos tiempos quirúrgicos. Los colgajos de avance en V-Y del capuchón del clítoris, con remanentes de tejido de la horquilla posterior, pueden lograr resultados satisfactorios y permitir la adaptación a la anatomía genital y los deseos estéticos únicos de cada mujer.


Labia minora hypertrophy is the prolongation of these beyond the anatomical limits of the labia majora. The belief in simplicity in the reduction of the labia minora and the failure to observe important aspects of the surgical technique that lead to total lip resection. In such cases, reconstructive surgery is the only possible way to rectify the situation. A 36-year-old woman with medical history of labia minora amputation secondary to labiaplasty surgery for hypertrophy of the labia minora performed by a beautician. The labia minora reconstruction is performed in two surgical stages. The V-Y advancement flaps of the clitoral hood with remnants of tissue from the posterior fork can be achieved with satisfactory results and allow adaptation to the genital anatomy and unique aesthetic wishes of each woman.


Subject(s)
Image Processing, Computer-Assisted
4.
Journal of Biomedical Engineering ; (6): 1072-1080, 2021.
Article in Chinese | WPRIM | ID: wpr-921847

ABSTRACT

As one of the non-invasive imaging techniques, myocardial perfusion imaging provides a basis for the diagnosis of myocardial ischemia in coronary heart disease. Aiming at the bull-eye image in myocardial perfusion imaging, this paper proposed a branching structure, which included multi-layer transposed convolution up-sampling concatenate module and four-channel weighted channels attention module, and the output results of the branch structure were fused with the output results of trunk U-Net, to achieve accurate segmentation of the cardiac ischemia missing degree in myocardial perfusion bull-eye image. The experimental results show that the multi-layer transposed convolution up-sampling concatenate module realizes the fusion of different depth feature maps, and effectively reduces the interference of the severe sparse degree which is similar to the missing degree on the segmentation. Four-channel weighted attention module can further improve the ability to distinguish between the two similar degrees and the ability to learn edge details of the targets, and retain more abundant edge details features. The experimental data came from Tianjin Medical University General Hospital, Tianjin TEDA Hospital, Tianjin First Central Hospital and Third Central Hospital. The Jaccard scores in the self-built dataset was 5.00% higher than that of U-Net. The model presented in this paper is superior to other optimized models based on U-Net, and the subjective evaluation meets the accuracy requirements for clinical diagnosis.


Subject(s)
Humans , Image Processing, Computer-Assisted , Ischemia , Myocardial Ischemia/diagnostic imaging , Neural Networks, Computer , Perfusion
5.
Article in Chinese | WPRIM | ID: wpr-921833

ABSTRACT

In order to suppress the geometrical artifacts caused by random jitter in ray source scanning, and to achieve flexible ray source scanning trajectory and meet the requirements of task-driven scanning imaging, a method of free trajectory cone-beam computed tomography (CBCT) reconstruction is proposed in this paper. This method proposed a geometric calibration method of two-dimensional plane. Based on this method, the geometric calibration phantom and the imaging object could be simultaneously imaged. Then, the geometric parameters could be obtained by online calibration method, and then combined with the geometric parameters, the alternating direction multiplier method (ADMM) was used for image iterative reconstruction. Experimental results showed that this method obtained high quality reconstruction image with high contrast and clear feature edge. The root mean square errors (RMSE) of the simulation results were rather small, and the structural similarity (SSIM) values were all above 0.99. The experimental results showed that it had lower image information entropy (IE) and higher contrast noise ratio (CNR). This method provides some practical value for CBCT to realize trajectory freedom and obtain high quality reconstructed image.


Subject(s)
Algorithms , Calibration , Cone-Beam Computed Tomography , Image Processing, Computer-Assisted , Phantoms, Imaging
6.
Article in Chinese | WPRIM | ID: wpr-921819

ABSTRACT

Image registration is of great clinical importance in computer aided diagnosis and surgical planning of liver diseases. Deep learning-based registration methods endow liver computed tomography (CT) image registration with characteristics of real-time and high accuracy. However, existing methods in registering images with large displacement and deformation are faced with the challenge of the texture information variation of the registered image, resulting in subsequent erroneous image processing and clinical diagnosis. To this end, a novel unsupervised registration method based on the texture filtering is proposed in this paper to realize liver CT image registration. Firstly, the texture filtering algorithm based on L0 gradient minimization eliminates the texture information of liver surface in CT images, so that the registration process can only refer to the spatial structure information of two images for registration, thus solving the problem of texture variation. Then, we adopt the cascaded network to register images with large displacement and large deformation, and progressively align the fixed image with the moving one in the spatial structure. In addition, a new registration metric, the histogram correlation coefficient, is proposed to measure the degree of texture variation after registration. Experimental results show that our proposed method achieves high registration accuracy, effectively solves the problem of texture variation in the cascaded network, and improves the registration performance in terms of spatial structure correspondence and anti-folding capability. Therefore, our method helps to improve the performance of medical image registration, and make the registration safely and reliably applied in the computer-aided diagnosis and surgical planning of liver diseases.


Subject(s)
Algorithms , Humans , Image Processing, Computer-Assisted , Liver Diseases , Tomography, X-Ray Computed
7.
Article in Chinese | WPRIM | ID: wpr-879263

ABSTRACT

With the wide application of deep learning technology in disease diagnosis, especially the outstanding performance of convolutional neural network (CNN) in computer vision and image processing, more and more studies have proposed to use this algorithm to achieve the classification of Alzheimer's disease (AD), mild cognitive impairment (MCI) and normal cognition (CN). This article systematically reviews the application progress of several classic convolutional neural network models in brain image analysis and diagnosis at different stages of Alzheimer's disease, and discusses the existing problems and gives the possible development directions in order to provide some references.


Subject(s)
Alzheimer Disease/diagnostic imaging , Cognitive Dysfunction/diagnosis , Humans , Image Processing, Computer-Assisted , Magnetic Resonance Imaging , Neural Networks, Computer
8.
Article in Chinese | WPRIM | ID: wpr-879252

ABSTRACT

The three-dimensional (3D) liver and tumor segmentation of liver computed tomography (CT) has very important clinical value for assisting doctors in diagnosis and prognosis. This paper proposes a tumor 3D conditional generation confrontation segmentation network (T3scGAN) based on conditional generation confrontation network (cGAN), and at the same time, a coarse-to-fine 3D automatic segmentation framework is used to accurately segment liver and tumor area. This paper uses 130 cases in the 2017 Liver and Tumor Segmentation Challenge (LiTS) public data set to train, verify and test the T3scGAN model. Finally, the average Dice coefficients of the validation set and test set segmented in the 3D liver regions were 0.963 and 0.961, respectively, while the average Dice coefficients of the validation set and test set segmented in the 3D tumor regions were 0.819 and 0.796, respectively. Experimental results show that the proposed T3scGAN model can effectively segment the 3D liver and its tumor regions, so it can better assist doctors in the accurate diagnosis and treatment of liver cancer.


Subject(s)
Humans , Image Processing, Computer-Assisted , Liver Neoplasms/diagnostic imaging , Tomography, X-Ray Computed
9.
Article in Chinese | WPRIM | ID: wpr-880459

ABSTRACT

Aiming at the problem of timeliness of CBCT reconstruction, a CBCT fast short scan reconstruction method is proposed. At the same time, the image reconstruction process in which a new attenuation compensation algorithm is applied to improve image quality. When performing FDK three-dimensional reconstruction of a single-frame acquisition image, the Parker-weighted image is calculated in real time, and a new attenuation compensation algorithm is applied in the back projection process to complete the short scan Parker-weighted reconstruction. This method simulates the CBCT synchronous acquisition and reconstruction process by establishing collection and reconstruction threads. Under the premise of satisfying the reconstruction quality, the reconstruction can be completed within 1 to 2 seconds after the patient collection is completed, which achieves the purpose of real-time.


Subject(s)
Algorithms , Cone-Beam Computed Tomography , Humans , Image Processing, Computer-Assisted , Spiral Cone-Beam Computed Tomography
10.
São José dos Campos; s.n; 2021. 44 p. ilus, graf, tab.
Thesis in Portuguese | LILACS, BBO | ID: biblio-1362245

ABSTRACT

Analise de textura (AT) é um método de processamento de imagens utilizado para potencializar a capacidade de diagnóstico. Desta forma este estudo teve por objetivo caracterizar os parâmetros de AT da medular do côndilo e músculo pterigóideo lateral (ventre superior) em imagens de Ressonância Magnética (RM) com o intuito de identificar possíveis alterações de indivíduos que apresentam disfunção temporomandibular (DTM), em comparação aos resultados obtidos com um grupo controle. Foram selecionados 40 exames de RM das articulações temporomandibulares de arquivo, sendo 20 exames de pacientes sem alteração na articulação temporomandibular (ATM) (grupo controle) e 20 exames de indivíduos diagnosticados com disfunção tempormandibular (grupo DTM). Todos os exames de RM foram adquiridos com o mesmo protocolo, utilizando uma bobina de superfícies bilateral de 8,0 cm de diâmetro, com imagens parassagitais látero-mediais, ponderadas em T2 e Densidade Protônica (DP), em boca fechada e máxima abertura bucal. Para a AT utilizou-se o software MaZda 4.20 (Institute of Electronics, Technical Universityof Lodz, Polônia), determinou-se a região de interesse (ROIs), sendo a mesma para todas as imagens e então foram calculados os parâmetros de textura, por meio da matriz de co-ocorrência (MCO). Os resultados foram tabulados e submetidos ao teste de Mann-Whitney. Pode-se verificar o parâmetro de Correlação (C) e o Momento da Diferença Inversa (MDI), apresentou diferença estatisticamente significante, entre os grupos analisados C x DTM verificados nas imagens ponderadas em DP, para a região da medular condilar e músculo pterigoideo lateral, respectivamente. Para as imagens analisadas em T2 nos grupos estudados, não apresentaram parâmetros que fossem estatisticamente significantes. Concluiu-se que a analise de textura é um método que potencialmente pode fornecer informações para melhorar o diagnóstico e precisão na classificação da DTM.


Texture analysis (TA) is an image processing method used to enhance the diagnostic capacity. Thus, this study aimed to characterize the TA parameters of the medullary cortex of the condyle and lateral pterygoid muscle (upper belly) in Magnetic Resonance Images(MRI) in order to identify possible changes in the temporomandibular joints (TMJ) of individuals who have temporomandibular disorder (TMD), compared to the results obtained with a control group. Forty MRI exams of the TMJ files were selected, 20 of which were patients with no TMJ alteration (control group) and 20 exams of individuals diagnosed with tempormandibular dysfunction (TMD group). All MRI exams were acquired using the same protocol, using a bilateral coil of 8.0 cm in diameter, with lateral-medial parasagital images, weighted in T2 and Protonic Density (PD), in closed mouth and maximum mouth opening. For TA, the MaZda 4.20 software (Institute of Electronics, Technical Universityof Lodz, Poland) was used, the region of interest (ROI) was determined, being the same for all images and then the texture parameters were calculated, by through the co-occurrence matrix (COM). The results were tabulated and submitted to the Mann-Whitney test. The Correlation parameter (C) and the Inverse Moment of Difference (IMD) showed a statistically significant difference between the analyzed groups C x TMD, verified in the DP-weighted images, for the condylar medullary region and lateral pterygoid muscle, respectively. For the images analyzed in T2 in the studied groups, they did not present parameters that were statistically significant. It was concluded that texture analysis is a method that can potentially provide prognostic information to improve diagnostic accuracy in TMD classification.


Subject(s)
Humans , Image Processing, Computer-Assisted , Magnetic Resonance Imaging , Temporomandibular Joint Dysfunction Syndrome , Statistics, Nonparametric
11.
ABCD arq. bras. cir. dig ; 34(2): e1608, 2021. graf
Article in English, Portuguese | LILACS | ID: biblio-1345008

ABSTRACT

ABSTRACT Background: Heart dysfunction and liver disease often coexist because of systemic disorders. Any cause of right ventricular failure may precipitate hepatic congestion and fibrosis. Digital image technologies have been introduced to pathology diagnosis, allowing an objective quantitative assessment. The quantification of fibrous tissue in liver biopsy sections is extremely important in the classification, diagnosis and grading of chronic liver disease. Aim: To create a semi-automatic computerized protocol to quantify any amount of centrilobular fibrosis and sinusoidal dilatation in liver Masson's Trichrome-stained specimen. Method: Once fibrosis had been established, liver samples were collected, histologically processed, stained with Masson's trichrome, and whole-slide images were captured with an appropriated digital pathology slide scanner. After, a random selection of the regions of interest (ROI's) was conducted. The data were subjected to software-assisted image analysis (ImageJ®). Results: The analysis of 250 ROI's allowed to empirically obtain the best application settings to identify the centrilobular fibrosis (CF) and sinusoidal lumen (SL). After the establishment of the colour threshold application settings, an in-house Macro was recorded to set the measurements (fraction area and total area) and calculate the CF and SL ratios by an automatic batch processing. Conclusion: Was possible to create a more detailed method that identifies and quantifies the area occupied by fibrous tissue and sinusoidal lumen in Masson's trichrome-stained livers specimens.


Resumo Racional: Tecnologias de imagem digital têm sido introduzidas ao diagnóstico patológico, permitindo avaliações quantitativas objetivas. A quantificação de tecido fibroso em biópsias de fígado é extremamente importante para a classificação, diagnóstico e graduação de doenças crônicas hepáticas. Objetivo: Criar um protocolo computadorizado semi-automático para quantificação de fibrose centrolobular e dilatação sinusoidal em amostras de fígado coradas por Tricrômico de Masson. Método: Uma vez instaurada a fibrose, amostras de fígado foram coletadas, processadas histologicamente, coradas por Tricrômico de Masson e WSI (Whole Slide Images) foram capturadas por scanner digital patológico apropriado. Uma seleção aleatória das regiões de interesse (ROI) foi realizada. Os dados foram submetidos a uma análise de imagem assistida por software (ImageJ®). Resultados: A análise de 250 ROIs permitiu obter-se empiricamente as melhores configurações capazes de identificar fibrose centrolobular (FC) e lúmen sinusoidal (LS). Após o estabelecimento das configurações de padrão de cor, uma Macro de autoria própria foi gravada para definir as medidas (área da fração e área total) e calcular as razões de FC e LS por processamento em grupo/lote (batch mode). Conclusão: Foi possível criar um método detalhado capaz de identificar e quantificar a área ocupada por tecido fibroso e lúmen sinusoidal em espécimes de fígado coradas por Tricrômico de Masson.


Subject(s)
Humans , Image Processing, Computer-Assisted , Software , Fibrosis , Dilatation , Liver/pathology , Liver/diagnostic imaging , Liver Cirrhosis
12.
Rev. cuba. invest. bioméd ; 40(supl.1): e1614, 2021. tab, graf
Article in Spanish | LILACS, CUMED | ID: biblio-1289470

ABSTRACT

Uno de los desafíos que los programadores tienen que enfrentar es la alta dimensión de grupos de datos. El proceso de reconocimiento de patrones en imagen y la minería de datos para los volúmenes grandes de información son ejemplos de ellos, optimizar la cantidad de veces que se recorre el conjunto de datos, disminuye el tiempo de procesamiento. Éste documento tiene el objetivo de caracterizar el algoritmo de tres pasos (S3), paralelo a K-medias, como una alternativa para afrontar la alta dimensión del conjunto de datos, en la clasificación no supervisada de imagen. Para el análisis de la concurrencia, se escoge, flujo de datos y el esquema instrucción única con datos múltiples. El resultado obtenido confirma que la concurrencia en ambos es posible, S3 no depende de la selección inicial de los representantes y puede ser el proceso de escogimiento de los primeros vectores centrales en K-medias. S3 es una alternativa a ser tenida en cuenta en la clasificación no supervisada de imágenes médicas y procesos de minería de datos(AU)


One of the challenges to be faced by programmers is the large dimensions of data groups. The process of pattern recognition in images and data mining for great volumes of information is an example. Optimizing the number of times that the set of data is run saves processing time. The purpose of the study was to characterize the three-step (S3) algorithm, parallel to k-means, as an alternative to cope with the large dimension of the data set in unsupervised image classification. Concurrence analysis is based on data flow and the single instruction multiple data scheme. The result obtained confirms that concurrence of both is possible. S3 does not depend on initial selection of representatives, and may be the process for selection of the first central vectors in k-means. S3 is an alternative to be considered in the unsupervised classification of medical images and data mining(AU)


Subject(s)
Humans , Algorithms , Image Processing, Computer-Assisted/methods , Records
13.
Int. j. morphol ; 38(5): 1296-1301, oct. 2020. tab, graf
Article in Spanish | LILACS | ID: biblio-1134439

ABSTRACT

RESUMEN: La Microscopía Virtual es una herramienta tecnológica que permite la visualización de imágenes digitales microscópicas de gran resolución a través de un computador imitando la funcionalidad de un microscopio óptico tradicional. El presente trabajo presenta nuestra experiencia en el uso de esta modalidad de trabajo, útil hoy en día, en medio de la pandemia por Covid-19.


SUMMARY: Virtual Microscopy is a technological tool that allows the visualization of high resolution microscopic digital images through a computer, imitating the functionality of a traditional light microscope. The present work presents our experience in the use of this working modality, useful today, in the midst of the Covid-19 pandemic.


Subject(s)
Humans , Animals , Image Processing, Computer-Assisted/methods , Embryonic and Fetal Development , Microscopy/methods , Virtual Reality , Microscopy/trends
14.
Int. j. morphol ; 38(5): 1325-1329, oct. 2020. graf
Article in English | LILACS | ID: biblio-1134443

ABSTRACT

SUMMARY: To explore a new semi-automatic method to segment the teeth from the three-dimensional volume data which acquired from cone beam computed tomography (CBCT) scanner. Scanned dental cast models are used to evaluate the segmentation accuracy. The CBCT data are loaded to ORS software. Based on gray value, a semi-automatic method was used to segment teeth and then the segmented teeth were saved in STL format data. Smooth the mesh data in the Geomagic Studio software. The upper and lower dental cast models were scanned by a white light scanner and the data was saved in STL format too. After registering the model data to teeth data, the deviation between them was analyzed in the Geomagic Qualify. All teeth could be obtained, the method is simple to use and applied in orthodontic biomechanics. The entire process took less than 30 minutes. The actual measured Root Mean Square (RMS) value is 0.39 mm, less than 0.4 mm. This method can segment teeth from the jaw quickly and reliably with a little user intervention. The method has important significance for dental orthodontics, virtual jaw surgery simulation and other stomatology applications.


RESUMEN: El objetivo de este estudio fue explorar un nuevo método semiautomático para segmentar los dientes a partir de datos de volumen tridimensional adquiridos mediante escáner de tomografía computarizada de haz cónico (CBCT). Los modelos escaneados de moldes dentales se utilizan para evaluar la precisión de la segmentación. Para los datos CBCT se utilizó el software ORS, y basado en el valor gris, se usó un método semiautomático para segmentar los dientes los que posteriormente se guardaron en datos de formato STL. Los datos se ingresaron en el software Geomagic Studio. Los modelo dentales superior e inferior se escanearon con un escáner de luz blanca y la información también se guardó en formato STL. Después del registro y comparación de los datos del modelo y los datos de los dientes, la desviación entre estos se analizó en el programa Geomagic Qualify. Usando este método fue posible obtener de forma fácil todos los dientes y además aplicar en la biomecánica de ortodoncia. El proceso completo demoró menos de 30 minutos. El valor real medido de la raíz cuadrada media fue de 0,39 mm, menos de 0,4 mm. Este método puede segmentar los dientes mandibulares de forma rápida y confiable, con una mínima intervención del usuario. El método tiene una importancia crítica para la ortodoncia, simulaciones virtuales de las cirugías de la mandíbula y otras aplicaciones en estomatología.


Subject(s)
Humans , Tooth/diagnostic imaging , Image Processing, Computer-Assisted/methods , Imaging, Three-Dimensional , Cone-Beam Computed Tomography/methods , Orthodontics/methods , Tooth/anatomy & histology , Software
15.
Rev. colomb. anestesiol ; 48(3): 162-163, July-Sept. 2020. graf
Article in English | LILACS, COLNAL | ID: biblio-1149788

ABSTRACT

Classic myotonic dystrophy is a multisystem disorder that results from RNA toxicity and is one of the commonest adult onset muscular dystrophies. Patients often present with muscle stiffness from myotonia and dysphagia or dysarthria from laryngopharyngoesophageal muscle weakness. Benign electrocardiogram changes such as first degree atrioventricular block are commonly present and rarely merit further work up. Occasionally, patients develop advanced conduction defects which can unexpectedly progress to complete heart block perioperatively


La distrofia miotonica clásica es un trastorno multi-sistémico que resulta de la toxicidad del RNA y es una de las distrofias musculares más comunes en adultos. Los pacientes suelen presentar rigidez muscular por la miotonía, así como disfagia o disartria por debilidad muscular laringo-faríngea-esofágica. Los cambios benignos en el electrocardiograma, como el bloqueo auriculoventricular de primer grado, suelen estar presentes y rara vez merecen un análisis más profundo. Ocasionalmente, los pacientes desarrollan defectos de conduccion avanzados que pueden progresar inespera-damente para completar el bloqueo cardiaco perioperatorio.


Subject(s)
Humans , Atrioventricular Block , Heart Block , Image Processing, Computer-Assisted , RNA , Dysarthria , Electrocardiography , Cardiac Conduction System Disease , Myotonia
16.
Arq. bras. med. vet. zootec. (Online) ; 72(4): 1163-1171, July-Aug. 2020. tab
Article in Portuguese | LILACS, VETINDEX | ID: biblio-1131502

ABSTRACT

Objetivou-se, no primeiro experimento, avaliar o efeito da velocidade de captura de imagens de 25Hz, 30Hz e 50Hz na cinética dos espermatozoides equinos criopreservados. Todas as velocidades mostraram-se adequadas para capturar o movimento espermático (P>0,05). No segundo experimento, objetivou-se avaliar o efeito da deposição de sêmen em lâmina sob lamínula, Leja®10 e 20, na cinética espermática. O uso de lâmina e lamínula foi superior às lejas para manter a LIN e o WOB (P<0,05). No terceiro experimento, objetivou-se avaliar o efeito das concentrações de 25, 50 e 100x106 na cinética espermática. As concentrações de 25 e 50 x106 foram superiores a 100x106 para preservar a LIN, a STR e a BCF e não afetar negativamente a motilidade (P<0,05). No quarto experimento, objetivou-se avaliar o efeito dos diluidores BotuCrio®, BotuSêmen®, TALP sperm e da solução fisiológica na cinética espermática. O BotuCrio® foi superior a todos os diluidores em preservar a BCF e os hiperativos (P<0,05). Conclui-se que o emprego da velocidade de captura entre 25 e 50Hz, a deposição do sêmen entre lâmina e lamínula e a rediluição em diluidor de congelação para atingir 25 a 50x106 de espermatozoides/mL são ideais para o SCA® avaliar, de forma fidedigna, o sêmen equino criopreservado.(AU)


The objective of the first experiment was to evaluate the effect of 25, 30 and 50Hz frame acquisition rate on equine cryopreserved sperm. All frame acquisition rates tested were adequate to capture the sperm movement (P>0.05). The aim of the second experiment was to evaluate the effect of chambers, slide-coverslip, Leja®10 and 20 on sperm movement. The use of slide-coverslip was superior to maintain LIN and WOB (P<0.05). The aim of the third experiment was to evaluate the effect of 25, 50 and 100x106 sperm/mL concentration on sperm movement. Concentrations of 25 and 50x106 sperm/mL were greater than 100x106 to preserve LIN, STR and BCF and did not adversely affect motility (P<0.05). The aim of the fourth experiment was to evaluate the effect of BotuCrio®, BotuSêmen®, TALP sperm and physiological solution on sperm movement. BotuCrio® was superior among other extenders in preserving BCF and hyperactive (P<0.05). It is concluded that the use of the frame acquisition rate between 25 and 50 Hz; the deposition of semen between slide and coverslip and new dilution in the freezing extender to 25-50x106 of sperm/mL is ideal to reliably evaluate cryopreserved equine semen by SCA®.(AU)


Subject(s)
Animals , Male , Sperm Motility , Spermatozoa/physiology , Image Processing, Computer-Assisted/methods , Semen Analysis/veterinary , Horses/physiology , Cryopreservation/veterinary
17.
An. bras. dermatol ; 95(3): 379-382, May-June 2020. graf
Article in English | ColecionaSUS, LILACS, ColecionaSUS | ID: biblio-1130887

ABSTRACT

Abstract In situations in when a dermoscopic record of a large lesion is desirable, the resulting images are usually restricted to a small field of view due to the limited diameter of dermatoscope lenses. This limitation often produces several photographs separately, thus losing the possibility of a single-image global evaluation. In these case reports, we show examples of a recently published image montage technique called Wide Area Digital Dermoscopy, in this case, applied to basal cell carcinomas.


Subject(s)
Humans , Male , Skin Neoplasms/diagnostic imaging , Image Processing, Computer-Assisted/methods , Carcinoma, Basal Cell/diagnostic imaging , Dermoscopy/methods , Skin Neoplasms/pathology , Software , Carcinoma, Basal Cell/pathology , Reproducibility of Results , Middle Aged
18.
Medisan ; 24(3)mayo.-jun. 2020. ilus
Article in Spanish | LILACS, CUMED | ID: biblio-1125129

ABSTRACT

El análisis de los movimientos oculares permite diagnosticar enfermedades neurodegenerativas, neuropsiquiátricas y neurooftalmológicas, entre otras, que afectan el desempeño social del individuo. En este análisis ha tomado auge mundial el empleo de la videoculografía, por su simplicidad estructural, exactitud y factibilidad económica a largo plazo. Al respecto, el objetivo de la actual investigación fue desarrollar y evaluar un sistema de estimulación visual y registro de los movimientos oculares. El sistema en cuestión permitió obtener imágenes oculares con buena resolución (2 megapíxeles), nitidez y contraste que facilitaron su posterior procesamiento. De igual modo, las pruebas de estimulación mediante el uso de patrones sacádicos con amplitudes entre 30º y 60º a la frecuencia de 0,5 Hz permitieron obtener con suficiente calidad las imágenes registradas y verificar que los movimientos oculares del centro de la pupila siguen fielmente a dichos patrones.


The analysis of eye movements allows to diagnose neurodegenerative, neuropsychiatric and neuroophthalmologic diseases, among other that affect the individual social performance. In this analysis the use of videoculography is gaining in importance worldwide, due to its structural simplicity, precision and long term economic feasibility. In this respect, the objective of this investigation was to develop and evaluate a system of visual stimulation and record of the eye movements. The system in question allowed to obtain ocular images with good resolution (2 megapixels), clarity and contrast that facilitated its later processing. In a same way, the tests of stimulation by means of the sacadic patterns use with amplitudes between 30º and 60º to the 0,5Hz frequency allowed to obtain with enough quality the images recorded and to verify that the eye movements of the pupil center follow these patterns very closely.


Subject(s)
Image Processing, Computer-Assisted , Eye Movement Measurements , Spectrophotometry, Infrared
19.
Rev. cuba. inform. méd ; 12(1)ene.-jun. 2020. tab, graf
Article in Spanish | LILACS, CUMED | ID: biblio-1126554

ABSTRACT

Técnicas como la Tomografía por Emisión de Positrones y la Tomografía Computarizada permiten determinar la naturaleza maligna o benigna de un tumor y estudiar las estructuras anatómicas del cuerpo con imágenes de alta resolución, respectivamente. Investigadores a nivel internacional han utilizado diferentes técnicas para la fusión de la Tomografía por Emisión de Positrones y la Tomografía Computarizada porque permite observar las funciones metabólicas en correlación con las estructuras anatómicas. La presente investigación se propone realizar un análisis y selección de algoritmos que propicien la fusión de neuroimágenes, basado en la precisión de los mismos. De esta forma contribuir al desarrollo de software para la fusión sin necesidad de adquirir los costosos equipos de adquisición de imágenes de alto rendimiento, los cuales son costosos. Para el estudio se aplicaron los métodos Análisis documental, Histórico lógico e Inductivo deductivo. Se analizaron e identificaron las mejores variantes de algoritmos y técnicas para la fusión según la literatura reportada. A partir del análisis de estas técnicas se identifica como mejor variante el esquema de fusión basado en Wavelet para la fusión de las imágenes. Para el corregistro se propone la interpolación Bicúbica. Como transformada discreta de Wavelet se evidencia el uso de la de Haar. Además, la investigación propició desarrollar el esquema de fusión basado en las técnicas anteriores. A partir del análisis realizado se constataron las aplicaciones y utilidad de las técnicas de fusión como sustitución a los altos costos de adquisición de escáneres multifunción PET/CT para Cuba(AU)


Techniques such as Positron Emission Tomography and Computed Tomography allow to determine the malignant or benign nature of a tumor and to study the anatomical structures of the body with high resolution images, respectively. International researchers have used different techniques for the fusion of Positron Emission Tomography and Computed Tomography because it allows observing metabolic functions in correlation with anatomical structures. The present investigation proposes to carry out an analysis and selection of algorithms that favor the fusion of neuroimaging, based on their precision. In this way, contribute to the development of fusion software without the need to purchase expensive high-performance imaging equipment, which is expensive. For the study the documentary analysis, logical historical and deductive inductive methods were applied. The best algorithm variants and techniques for fusion were analyzed and identified according to the reported literature. From the analysis of these techniques, the Wavelet-based fusion scheme for image fusion is identified as the best variant. Bicubic interpolation is proposed for co-registration. As a discrete Wavelet transform, the use of Haar's is evidenced. In addition, the research led to the development of the fusion scheme based on the previous techniques. From the analysis carried out, the applications and usefulness of fusion techniques were verified as a substitute for the high costs of acquiring PET / CT multifunction scanners for Cuba(AU)


Subject(s)
Image Processing, Computer-Assisted/methods , Software/standards , Tomography, X-Ray Computed/methods , Positron-Emission Tomography/methods , Wavelet Analysis , Cuba
20.
Arq. bras. oftalmol ; 83(2): 127-131, Mar.-Apr. 2020. tab, graf
Article in English | LILACS | ID: biblio-1088964

ABSTRACT

ABSTRACT Purpose: Inferior eyelid laxity is classically evaluated using "snap-back" and "distraction" tests. This study aimed to assess the reproducibility of the technique used to indirectly quantify the horizontal tension in the lower eyelids using digital image processing. Methods: This longitudinal study was conducted to assess the reproducibility of a new technique that quantifies the horizontal tension in the lower eyelid. The study was conducted at the Hospital das Clínicas of Porto Alegre. The protocol was established by two trained ophthalmologist examiners, allowing intra- and interobserver agreement analyses. Image acquisition was done in two stages: the first image was captured with the eyelid in primary gaze position and the second with the eyelid in traction position. All images and measurements were processed using Image J 1.33m software from the National Institute of Health. The Bland-Altman method, intraclass correlation coefficients, concordance correlation coefficients, and technical measurement error were used to evaluate reproducibility. Results: The study participants comprised healthy individuals with no ophthalmologic pathologies. The measurements obtained in the neutral position showed a slightly higher agreement than those obtained in the traction position. The mean difference between the measurements performed in the traction position was 0.028 ± 0.7 mm and 0.014 ± 0.9 mm in the intra- and interobserver analyses, respectively. The Bland-Altman method demonstrated adequate confidence limits for both measurements. Correlation coefficients for measurements varied between 0.87 [95% confidence interval (CI) 0.68-0.95] and 0.91 (95% CI 0.77-0.97) in the neutral position and between 0.72 (95% CI 0.37-0.89) and 0.76 (95% CI 0.4-0.91) in the traction position. Conclusion: A high intra- and interobserver concordance was observed in the studied method to quantify lower eyelid tension. The proposed method is simple and easily reproducible, and to the best our knowledge, this is the first method that quantifies lower eyelid horizontal tension on the basis of digital image processing. This modified distraction test might be useful in studies quantifying lower eyelid horizontal tension.


RESUMO Objetivo: A frouxidão palpebral inferior é avaliada classicamente por meio de testes de "snap-back" e "distraction test". O objetivo deste estudo foi avaliar a reprodutibilidade da técnica utilizada para quantificar indiretamente a tensão horizontal nas pálpebras inferiores através do processamento digital de imagens. Métodos: Este estudo longitudinal foi realizado para avaliar a reprodutibilidade de uma nova técnica que quantifica a tensão horizontal na pálpebra inferior. O estudo foi realizado no Hospital das Clínicas de Porto Alegre. O protocolo foi estabelecido por dois examinadores oftalmologistas treinados, permitindo análises de concordância intra e interavaliador. A aquisição de imagens foi feita em duas etapas: a primeira imagem foi capturada com a pálpebra na posição primária do olhar e a segunda com pálpebra tracionada. Todas as imagens e medições foram processadas usando o software Image J 1.33m do National Institute of Health. O método de Bland-Altman, os coeficientes de correlação intraclasses, os coeficientes de correlação de concordância e o erro técnico da medida foram utilizados para avaliar a reprodutibilidade. Resultados: Os participantes do estudo foram indivíduos saudáveis e sem patologias oftalmológicas. As medidas obtidas na posição neutra mostraram concordância levemente maior do que as obtidas na posição tracionada. A diferença média entre as medidas realizadas na posição tracionada foi de 0,028 ± 0,7mm e 0,014 ± 0,9mm nas análises intra e interobservadores, respectivamente. O método de Bland-Altman demonstrou limites de confiança adequados para ambas as medidas. Os coeficientes de correlação para as medidas variaram entre 0,87 [intervalo de confiança de 95% (IC) 0,68-0,95) e 0,91 (IC 95% 0,77-0,97) na posição neutra e entre 0,72 (IC 95% 0,37-0,89) e 0,76 (IC 95% 0,46-0,91) na posição tracionada. Conclusão: Observou-se elevada concordância intra e interobservador no método estudado para quantificar a tensão palpebral inferior. O método proposto é simples e facilmente reproduzível, e, do melhor modo possível, este é o primeiro método que quantifica a tensão horizontal da pálpebra inferior com base no processamento digital de imagens. Este teste de distração modificado pode ser útil em estudos que quantifiquem a tensão horizontal da pálpebra inferior.


Subject(s)
Humans , Adult , Middle Aged , Image Processing, Computer-Assisted/methods , Image Processing, Computer-Assisted/standards , Image Interpretation, Computer-Assisted/methods , Eyelid Diseases/physiopathology , Eyelid Diseases/diagnostic imaging , Reference Values , Software , Photography/methods , Observer Variation , Prospective Studies , Reproducibility of Results , Eyelids/physiopathology , Eyelids/diagnostic imaging
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