Segmentation of the Carotid Arteries from 3D Ultrasound Images

摘要: Ultrasound (US) Doppler flow-velocity imaging has been used extensively in the diagnosis and management of carotid atherosclerosis. ultrasound-based measurement is a well-established screening tool for assessment stenosis severity. However, this method does not provide information on plaque morphology, vulnerability, or composition. In addition to severity, US-based phenotypes atherosclerosis include intima–media thickness (IMT), total area (TPA). More recently, vessel-wall-volume (VWV) total-plaque-volume (TPV) have emerged as sensitive useful US that measure burden 3D images. order accelerate translation these measurements clinical practice, semiautomated methods are required enable multiple observers be trained shorter time periods with decreased inter-observer variability. This stimulated investigators develop accurate robust segmentation algorithms allowing efficient quantification chapter, we demonstrate viable technique quantifying progression regression describe vessels.