An Automatic Segmentation and Reconstruction of Mandibular Structures from CT-data
Autores: Iñigo Barandiaran and Iván Macía and Eva Berckmann and Diana Wald and Michael Dupillier and Céline Paloc and Manuel Graña
Fecha: 23.09.2009
Abstract
Abdominal Aortic Aneurysm (AAA) is a dangerous condition where the weakening of the aortic wall leads to its deformation and the generation of a thrombus. To prevent a possible rupture of the aortic wall, AAAs can be treated non-invasively by means of the Endovascular Aneurysm Repair Technique (EVAR), which consists of placing a stent-graft inside the aorta in order to exclude the bulge from the blood circulation and usually results in its contraction. Nevertheless, the bulge may continue to grow without any apparent leak. In order to effectively assess the changes experienced after surgery, it is necessary to segment the aneurysm, which is a very time-consuming task. Here we describe the initial results of a novel model-based approach for the semi-automatic segmentation of both the lumen and the thrombus of AAAs, using radial functions constrained by a priori knowledge and spatial coherency.
BIB_text
@Article {
author = {Iñigo Barandiaran and Iván Macía and Eva Berckmann and Diana Wald and Michael Dupillier and Céline Paloc and Manuel Graña},
title = {An Automatic Segmentation and Reconstruction of Mandibular Structures from CT-data},
pages = {649-655},
volume = {5788},
keywds = {
segmentation, aorta, aneurysm, radial model, CT, image processing, medical imaging
}
abstract = {
Abdominal Aortic Aneurysm (AAA) is a dangerous condition where the weakening of the aortic wall leads to its deformation and the generation of a thrombus. To prevent a possible rupture of the aortic wall, AAAs can be treated non-invasively by means of the Endovascular Aneurysm Repair Technique (EVAR), which consists of placing a stent-graft inside the aorta in order to exclude the bulge from the blood circulation and usually results in its contraction. Nevertheless, the bulge may continue to grow without any apparent leak. In order to effectively assess the changes experienced after surgery, it is necessary to segment the aneurysm, which is a very time-consuming task. Here we describe the initial results of a novel model-based approach for the semi-automatic segmentation of both the lumen and the thrombus of AAAs, using radial functions constrained by a priori knowledge and spatial coherency.
}
isbn = {978-3-642-04393-2},
date = {2009-09-23},
year = {2009},
}
author = {Iñigo Barandiaran and Iván Macía and Eva Berckmann and Diana Wald and Michael Dupillier and Céline Paloc and Manuel Graña},
title = {An Automatic Segmentation and Reconstruction of Mandibular Structures from CT-data},
pages = {649-655},
volume = {5788},
keywds = {
segmentation, aorta, aneurysm, radial model, CT, image processing, medical imaging
}
abstract = {
Abdominal Aortic Aneurysm (AAA) is a dangerous condition where the weakening of the aortic wall leads to its deformation and the generation of a thrombus. To prevent a possible rupture of the aortic wall, AAAs can be treated non-invasively by means of the Endovascular Aneurysm Repair Technique (EVAR), which consists of placing a stent-graft inside the aorta in order to exclude the bulge from the blood circulation and usually results in its contraction. Nevertheless, the bulge may continue to grow without any apparent leak. In order to effectively assess the changes experienced after surgery, it is necessary to segment the aneurysm, which is a very time-consuming task. Here we describe the initial results of a novel model-based approach for the semi-automatic segmentation of both the lumen and the thrombus of AAAs, using radial functions constrained by a priori knowledge and spatial coherency.
}
isbn = {978-3-642-04393-2},
date = {2009-09-23},
year = {2009},
}
