Atherosclerosis cause the death of millions of people annually around the world, and produces billions in expenses, the biggest among all illnesses. It is given by the accumulation of plaques, lipidic, fibrous, and calcified tissue in the coronary wall, which may cause heart attack, or cardiac death. The lipidic plaques are the most dangerous with the highest elasticity, whereas the calcified and fibrous are more stable and less elastic, which can be treated by stents. However, the stent treatment may lead to a neo-intima re-stenosis. The Intravascular Ultrasound (IVUS), and Optical Coherent Tomography Intravascular (IOCT) are reference medical images modalities for diagnostics and to follow treatment progression. Nonetheless, a lot of information from the mentioned modalities may be obtained quantitatively, by segmentation, feature extraction, such as texture. In addition, by working with these images dynamically, mechanical properties can be extracted. The additional information led to more precise diagnostics, therapy planning, and treatment progression supervisions. Therefore, we propose to create a combination of methods, such as segmentation, feature extraction, 3D reconstruction to support and increase precision of atherosclerotic plaques characterization, and neo-intima re-stenosis supervision. Finally, the evaluation will be carried out by numerical and physical phantoms, and real images with corresponding virtual histology.
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