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3D Quantitative measurement of left ventricle (LV) motion on patients with acute myocardial infarction has been recognized as essential for effective LV function diagnosis. This paper presents a method to quantify 3D LV motion obtained from conventional CINE MRI using image analysis based on mathematical modeling. Level set method is employed for segmentation, and a 3D LV geometry was reconstructed...
The study of in utero fetal MR images is essential for the diagnosis of abnormal brain development and the study of the maturation of the brain structures. Because of the particular properties of these images, only a few automated segmentation methods have been developed so far compared to the numerous ones existing for the adult brain anatomy. In this paper, we propose a two-step cortex segmentation...
With the increasing availability of 4D cardiac imaging technologies, the need for efficient spatio-temporal segmentation algorithms for the heart is growing. We propose a new method for heart segmentation in 4D data sets. We efficiently use the established graph cut method for the segmentation of the heart by simultaneously exploiting motion and region cues. We construct a 4D graph designed to find...
Quantitative information on regional left ventricular (LV) function from real-time 3D echocardiographic (RT3DE) images has significant clinical potential, but needs validation. Our goals were to validate these measurements against cardiac magnetic resonance (CMR) and test the feasibility of automated detection of regional wall motion (RWM) abnormalities from RT3DE data. RT3DE and CMR images were obtained...
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