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BACKGROUND: Ultrasonic echocardiography is commonly used for monitoring myocardial dysfunction. However, it has limitations such as poor quality of echocardiography images and subjective judgment of doctors. METHODS: In this paper, a calculation model based on optical flow tracking of echocardiogram is proposed for the quantitative estimation motion of the segmental wall. To improve the accuracy of optical flow estimation, a method based on confidence-optimized multiresolution(COM) optical flow model is proposed to reduce the estimation errors caused by the large amplitude of myocardial motion and the presence of "shadows" and other image quality problems. In addition, motion vector decomposition and dynamic tracking of the ventricular region of interest are used to extract information regarding the myocardial segmental motion. The proposed method was validated using simulation images and 50 clinical cases (25 patients and 25 healthy volunteers) for myocardial motion analysis. RESULTS: The results demonstrated that the proposed method could track the motion information of myocardial segments well and reduce the estimation errors of optical flow caused due to the use of low-quality echocardiogram images. CONCLUSIONS: The proposed method improves the accuracy of motion estimation for the cardiac ventricular wall.
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Ventrículos Cardíacos , Ultrasonido , Humanos , Ventrículos Cardíacos/diagnóstico por imagen , Corazón , Ecocardiografía/métodos , MiocardioRESUMEN
Tetralogy of Fallot (TOF) is the most common complex congenital heart disease (CHD) of the cyanotic type. Studies on ventricular functions have received an increasing amount of attention as the development of diagnosis and treatment technology for CHD continues to advance. Reasonable options for imaging examination and accurate assessment of preoperative and postoperative left ventricular functions of TOF patients are important in improving the cure rate of TOF radical operation, therapeutic evaluation, and judgment prognosis. Therefore, with the aid of dual-source computed tomography (DSCT), cardiac images with high temporal resolution and high definition, we measured the left ventricular time-volume curve using image data and calculating the left ventricular function parameters to conduct the preliminary evaluation on TOF patients. To comprehensively evaluate the cardiac function, the segmental ventricular wall function parameters were measured, and the measurement results were mapped to a bull's eye diagram to realize the standardization of segmental ventricular wall function evaluation. Finally, we introduced a new clustering method based on auto-regression model parameters and combined this method with Euclidean distance measurements to establish an intelligent diagnosis of TOF. The results of this experiment show that the TOF evaluation and the intelligent diagnostic methods proposed in this article are feasible.
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Ventrículos Cardíacos/diagnóstico por imagen , Tetralogía de Fallot/diagnóstico por imagen , Adolescente , Adulto , Niño , Preescolar , Análisis por Conglomerados , Ventrículos Cardíacos/patología , Ventrículos Cardíacos/fisiopatología , Humanos , Lactante , Persona de Mediana Edad , Modelos Anatómicos , Tetralogía de Fallot/patología , Tetralogía de Fallot/fisiopatología , Tomografía Computarizada por Rayos X/métodos , Función Ventricular Izquierda , Adulto JovenRESUMEN
0.05).Compared with non-myocardial infarction group,the prevalence of normal segmental ventricular wall motion and ejection fraction in myocardial infarction group was significantly lower,while those of akinesia and paradoxical motion were significantly higher(P