Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
Add filters








Language
Year range
1.
Journal of Biomedical Engineering ; (6): 964-968, 2019.
Article in Chinese | WPRIM | ID: wpr-781840

ABSTRACT

Transrectal contrast-enhanced ultrasound (CEUS) is an important examination for rectal tumors. The inhomogeneity of the CEUS images has important clinical significance. However, there is no objective method to evaluate this index. In this study, a method based on gray-level co-occurrence matrix (GLCM) is proposed to extract texture features of images and grade these images according the inhomogeneity. Specific processes include compressing the gray level of the image, calculating the texture statistics of gray level co-occurrence matrix, combining feature selection and principal component analysis (PCA) for dimensionality reduction, and training and validating quadratic discriminant analysis (QDA). After ten cross-validation, the overall accuracy rate of machine classification was 87.01%, and the accuracy of each level was as follows: Grade Ⅰ 52.94%, Grade Ⅱ 96.48% and Grade Ⅲ 92.35% respectively. The proposed method has high accuracy in judging grade Ⅱ and Ⅲ images, which can help to identify the grade of inhomogeneity of contrast-enhanced ultrasound images of rectal tumors, and may be used to assist clinical doctors in judging the grade of inhomogeneity of contrast-enhanced ultrasound of rectal tumors.


Subject(s)
Humans , Discriminant Analysis , Rectal Neoplasms , Ultrasonography
2.
Journal of Biomedical Engineering ; (6): 1094-1109, 2011.
Article in Chinese | WPRIM | ID: wpr-274948

ABSTRACT

In order to get real time ultrasound images with clear structure and improved contrast, an adaptive ultrasound sound speed optimization method based on image contrast analysis was investigated. It firstly introduced the dynamic beamforming of ultrasound system, as well as the definition of assumed system's sound speed and the true sound speed propagated in tissues the degrade image quality due to their mismatch was also discussed. After given the pixel gray level value based ultrasound image contrast ratio, the basic idea to precisely estimate the true sound speed for real time system sound speed was proposed. Algorithms have been verified both in tissue-mimicking phantoms with known sound speeds and in vivo ultrasound images, compared with other existing method. The testing results showed that this new method not only produced accurate sound speed for ultrasound image optimization, but also finely met the critical computation requirement for real time applications.


Subject(s)
Humans , Algorithms , Image Enhancement , Methods , Image Interpretation, Computer-Assisted , Phantoms, Imaging , Sound , Ultrasonography , Methods
3.
Journal of Biomedical Engineering ; (6): 460-464, 2011.
Article in Chinese | WPRIM | ID: wpr-306538

ABSTRACT

This paper proposes a technique to denoise the worm artifacts of elastogram using 2-D wavelet shrinkage denoising method. Firstly, strain estimate matrix including worm artifacts was decomposed to 3 levels by 2-D discrete wavelet transform with Sym8 wavelet function, and the thresholds were obtained using Birg6-Massart algorithm. Secondly, all the high frequency coefficients on different levels were quantized by using hard threshold and soft threshold function. Finally, the strain estimate matrix was reconstructed by using the 3rd layer low frequency coefficients and other layer quantized high frequency coefficients. The simulation results illustrated that the present technique could efficiently denoise the worm artifacts, enhance the elastogram performance indices, such as elastographic signal-to-noise ratio (SNRe) and elastographic contrast-to-noise ratio (CNRe), and could increase the correlation coefficient between the denoised elastogram and the ideal elastogram. In comparison with 2-D low-pass filtering, it could also obtain the higher elastographic SNRe and CNRe, and have clearer hard lesion edge. In addition, the results demonstrated that the proposed technique could suppress worm artifacts of elastograms for various applied strains. This work showed that the 2-D wavelet shrinkage denoising could efficiently denoise the worm artifacts of elastogram and enhance the performance of elastogram.


Subject(s)
Humans , Algorithms , Artifacts , Elasticity Imaging Techniques , Methods , Image Processing, Computer-Assisted , Wavelet Analysis
4.
Journal of Biomedical Engineering ; (6): 530-533, 2007.
Article in Chinese | WPRIM | ID: wpr-357658

ABSTRACT

In this paper the theory of autocorrelation algorithm for color flow mapping is analyzed and a new way for ultrasound color flow velocity estimation and real-time display is proposed. The method sets up a mapping table which directly relates to the dynamic display range and has only 256 entries using an inverse mapping method instead of calculating the arctangent value directly. This method is ideal for software implementation and offers an interactive way to the user for changing the dynamic range of flow velocity and thus to increasing the display resolution.


Subject(s)
Humans , Algorithms , Blood Flow Velocity , Pulsatile Flow , Physiology , Rheology , Ultrasonography, Doppler, Color , Methods
5.
Chinese Traditional Patent Medicine ; (12)1992.
Article in Chinese | WPRIM | ID: wpr-682039

ABSTRACT

Objective: A HPLC method for determination of emodin and rhein in Niuhuangjiedu Tablets was established. Methods: The chromatographic conditions were listed below: Diamonisil ODS C 18 column, UV detector at 254nm of wavelength, a mobile phase of methanol water phosphate acid(720∶280∶1),and 1mL?min -1 of flow rate. The retention time of emodin was 8.49 min and that of rhein was 15.56min. Results: The calibration curves were linear for emodin within 0.469~1.407?g( r =0.9992) and for rhein within 0.3125~ 0.9375?g ( r = 0.9992). The recoveries were 98.2%( RSD =0.43%)for emodin and 98.4%( RSD =0.72%)for rhein, respectively. Conclusion: This method is simple and the separate result is satisfactory.

SELECTION OF CITATIONS
SEARCH DETAIL