Fast AAA Thrombus Segmentation from CTA Images for Endovascular Repair Follow-up
Autores: Iván Macía and María Arenas and Jon Haitz Legarreta and Isabelle Robin and Manuel Graña and Shabs Rajasekharan
Fecha: 05.10.2012
Abstract
Segmentation and quanti cation of AAAs in CTA images is a relevant task for primary diagnosis and follow-up after EVAR. This paper describes and evaluates a re ned version of a fast and accurate method for the segmentation of the aneurysm thrombus based on a radial model approach. It uses a priori knowledge and spatial coherency for obtaining an initial thrombus contour which is then re ned by removing spurious sectors. The method provides a fast segmentation and easy parameter setup while maintaining a high degree of accuracy, which makes it suitable for clinical routine. Thrombus segmentation results are presented in real clinical CTA images used for EVAR follow-up which demonstrate the high speed and accuracy of the method.
BIB_text
author = {Iván Macía and María Arenas and Jon Haitz Legarreta and Isabelle Robin and Manuel Graña and Shabs Rajasekharan},
title = {Fast AAA Thrombus Segmentation from CTA Images for Endovascular Repair Follow-up},
pages = {72-79},
volume = {7510},
keywds = {
Abdominal aortic aneurysm, AAA, endovascular aneurysm repair, EVAR, Computed Tomography Angiography, CTA, lumen, thrombus, segmentation, radial
}
abstract = {
Segmentation and quanti cation of AAAs in CTA images is a relevant task for primary diagnosis and follow-up after EVAR. This paper describes and evaluates a re ned version of a fast and accurate method for the segmentation of the aneurysm thrombus based on a radial model approach. It uses a priori knowledge and spatial coherency for obtaining an initial thrombus contour which is then re ned by removing spurious sectors. The method provides a fast segmentation and easy parameter setup while maintaining a high degree of accuracy, which makes it suitable for clinical routine. Thrombus segmentation results are presented in real clinical CTA images used for EVAR follow-up which demonstrate the high speed and accuracy of the method.
}
isbn = {978-3-642-33414-6},
date = {2012-10-05},
year = {2012},
}
