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1.
Chinese Journal of Radiology ; (12): 34-40, 2023.
Artículo en Chino | WPRIM | ID: wpr-992938

RESUMEN

Objective:To explore the value of fast susceptibility weighted imaging (SWI) generated by a deep learning model in assessment of acute ischemic stroke (AIS).Methods:From January 2019 to January 2021, 118 AIS patients [75 males and 43 females, aged 23-100 (66±14) years] who underwent MR examination and SWI sequence scanning within 24 h of symptom onset in the First Medical Center of PLA General Hospital were retrospectively analyzed. MATLAB ′s randperm function was used to divide 118 patients into a training set of 96 cases and a test set of 22 cases at a ratio of 8∶2. Fourty-seven AIS patients [38 males and 9 females, aged 16-75 (58±12) years] from one center of a multicenter study were selected to build the external validation set. SWI image and filtered phase image were combined into complex value image as full sampling reference image. Undersampled SWI images were obtained by retrospective undersampling of reference fully sampled images, and the undersampling multiple was five times which could save 80% of the scanning time, then the complex-valued convolutional neural network (ComplexNet) was used to develop reconstruct fast SWI. Interclass correlation coefficient (ICC) or Kappa tests were used to compare the consistency of image quality and the diagnostic consistency for the presence of susceptibility vessel sign (SVS), cerebral microbleeds and asymmetry of cerebral deep medullary veins (DMVs) in AIS patient on fully sampled SWI and fast SWI based on ComplexNet.Results:In test set, score of image quality was 4.5±0.6 for fully sampled SWI image and 4.6±0.7 for fast SWI based on ComplexNet, and coefficient was excellent (ICC=0.86, P<0.05). Full sampling SWI had good agreement with fast SWI based on ComplexNet in detecting SVS (Kappa=0.79, P<0.05), microbleeds (Kappa=0.86, P<0.05), and DMVs asymmetry (Kappa=0.82, P<0.05) in AIS patients. In the external validation set, score of image quality was 4.1±1.0 for fully sampled SWI image and 4.0±0.9 for fast SWI based on ComplexNet, and coefficient was excellent (ICC=0.97, P<0.05). Full sampling SWI had good agreement with fast SWI based on ComplexNet in detecting SVS (Kappa=0.74, P<0.05), microbleeds (Kappa=0.83, P<0.05), and DMVs asymmetry (Kappa=0.74, P<0.05) in AIS patients. Conclusions:Deep learning techniques can significantly accelerate the speed of SWI, and the consistency of image quality and detected AIS signs between fast SWI based on ComplexNet and fully sampled SWI is good. The fast SWI based on ComplexNet can be applied to the radiographic assessment of clinical AIS patients

2.
Chinese Journal of Medical Instrumentation ; (6): 340-343, 2021.
Artículo en Chino | WPRIM | ID: wpr-880480

RESUMEN

OBJECTIVE@#To investigate the pre-treatment preventive maintenance and quality control procedure of MRI system and transcranial MRI-guided focused ultrasound (TcMRgFUS) treatment system by monitoring quality control of these two systems.@*METHODS@#The general performance index and image quality control index of MRI system, as well as the quality assurance program of TcMRgFUS EXABLATE 4000 system were tested and recorded.@*RESULTS@#The general performance index and image quality control index of MRI system met requirements.@*CONCLUSIONS@#Through system detection, the system performance could be monitored, ensuring the accuracy and safety of surgery.


Asunto(s)
Hipertermia Inducida , Imagen por Resonancia Magnética , Fantasmas de Imagen , Control de Calidad
3.
Journal of Practical Radiology ; (12): 232-236, 2010.
Artículo en Chino | WPRIM | ID: wpr-403368

RESUMEN

Objective To determine the correlation between coronary artery calcium score (CACS) and carotid calcification, and their risk factors. Methods 162 cases underwent coronary and carotid pre-contrast CT scan with dual-source CT scanner within 2 weeks. The reconstructed parameters were the same. The calcifications of coronary and carotid arteriae were quantified by calculating the Agatston score. The main risk factors such as age, sex, hypertension, total cholesterol, low-density-lipoprotein cholesterol (LDL), high-density-lipoprotein cholesterol (HDL), diabetes, smoking and coronary heart disease history were recorded. The CACS and carotid calcium scores were comparatively analyzed using Spearman's correlative analysis. The relativity between the risk factors and CACS scores, carotid calcium scores. Results In 162 subjects, there was positive relativity between CACS and carotid cal-cium score(r=0.690, P<0.01). Logistic regression analysis showed that CACS were of relativity with age, diabetes, total cholesterol and LDL cholesterol,otherwise, carotid calcium scores only with age and diabetes. Conclusion There is significant correlation be-tween CACS and carotid calcium score, but their risk factors are not same.

4.
Chinese Medical Equipment Journal ; (6)2003.
Artículo en Chino | WPRIM | ID: wpr-592819

RESUMEN

0.05) . Conclusion An acceptable image quality can be achieved for pediatric patients by reducing the mA value to 40 to 80mA used for conventional temporal bone, and the low dose CT scanning ought to be extended in the temporal bone decease for children.

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