Eduardo Gerardo Mendizabal Ruiz Probabilistic segmentation of intravascular ultrasound sequences
The contributions of this work are: (i) a smooth parametrization of the lumen contour, (ii) a custom optimization method that linearly combines the descent directions of the steepest descent and BFGS optimization... Segmentation of the lumen and media-adventitia borders in IVUS images is an important procedure for the study and assessment of the atherosclerotic plaques. In this work, an automatic method for the segmentation of the luminal border on IVUS images is presented. Intravascular ultrasound (IVUS) is a medical image technique that can provide high resolution, cross-sectional images of the interior of the vessels. It is known that the majority of adverse CVD-related events are due to coronary artery diseases: a condition in which fatty lesions called plaques are formed on the walls of the vessels. Complications attributed to cardiovascular disease (CVD) are currently the main cause of death worldwide. However, manual segmentation of IVUS images is difficult and time consuming.