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This research aims to develop three dimensional geometrical tricuspid valve model using transesophagel echocardiography raw images (3DTEE). Main motivation that derives this research is the needs of volumetric image segmentation for surgical planning, post-surgical assessment, abnormality detection, and many other medical application. The challenge stands tall especially in regions with abnormal color...
Coronary artery analysis is an important phase of each cardiac image processing system. Once physicians decide to check up coronary arteries and also other cardiac components in CT Angiography, it should be done precisely to give the correct information about them. In this paper, we proposed a new method for cardiac components categorization, aorta segmentation, and coronary artery enhancement from...
Medical image processing is nowadays one of the best tools to make an informative model from a raw image of each part of the body, and segmentation is the most important step in which used to extract significant features. Coronary artery segmentation algorithm in angiograms is a fundamental component of each cardiac image processing system. There are lots of techniques and algorithms proposed for...
Segmentation is an important step in medical imaging to acquire qualitative measurements such as the location of the desired objects and also for quantitative measurements such as area, volume or the analysis of dynamic behaviour of anatomical structures over time. Among these images, ultrasound images play a crucial role, because they can be produced on video-rate and therefore allows a dynamic analysis...
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