TY - JOUR
T1 - Three dimensional active contours for the reconstruction of abdominal aortic aneurysms
AU - Ayyalasomayajula, Avinash
AU - Polk, Andrew
AU - Basudhar, Anirban
AU - Missoum, Samy
AU - Nissim, Lavi
AU - Vande Geest, Jonathan P.
N1 - Funding Information:
Funding for this work was provided by NSF CAREER Award 0644570 to JPVG. The authors would also like to thank the Department of Vascular Surgery at the University Medical Center in Tucson, Arizona for their help in retrieval of the AAA patient image datasets.
PY - 2010/1
Y1 - 2010/1
N2 - An aneurysm is a gradual and progressive ballooning of a blood vessel due to wall degeneration. Rupture of abdominal aortic aneurysm (AAA) constitutes a significant portion of deaths in the US. In this study, we describe a technique to reconstruct AAA geometry from CT images in an inexpensive and streamlined fashion. A 3D reconstruction technique was implemented with a GUI interface in MATLAB using the active contours technique. The lumen and the thrombus of the AAA were segmented individually in two separate protocols and were then joined together into a hybrid surface. This surface was then used to obtain the aortic wall. This method can deal with very poor contrast images where the aortic wall is indistinguishable from the surrounding features. Data obtained from the segmentation of image sets were smoothed in 3D using a Support Vector Machine technique. The segmentation method presented in this paper is inexpensive and has minimal user-dependency in reconstructing AAA geometry (lumen and wall) from patient image sets. The AAA model generated using this segmentation algorithm can be used to study a variety of biomechanical issues remaining in AAA biomechanics including stress estimation, endovascular stent-graft performance, and local drug delivery studies.
AB - An aneurysm is a gradual and progressive ballooning of a blood vessel due to wall degeneration. Rupture of abdominal aortic aneurysm (AAA) constitutes a significant portion of deaths in the US. In this study, we describe a technique to reconstruct AAA geometry from CT images in an inexpensive and streamlined fashion. A 3D reconstruction technique was implemented with a GUI interface in MATLAB using the active contours technique. The lumen and the thrombus of the AAA were segmented individually in two separate protocols and were then joined together into a hybrid surface. This surface was then used to obtain the aortic wall. This method can deal with very poor contrast images where the aortic wall is indistinguishable from the surrounding features. Data obtained from the segmentation of image sets were smoothed in 3D using a Support Vector Machine technique. The segmentation method presented in this paper is inexpensive and has minimal user-dependency in reconstructing AAA geometry (lumen and wall) from patient image sets. The AAA model generated using this segmentation algorithm can be used to study a variety of biomechanical issues remaining in AAA biomechanics including stress estimation, endovascular stent-graft performance, and local drug delivery studies.
KW - 3D smoothing
KW - Computed tomography
KW - Deformable model
KW - Imaging
KW - Snakes
KW - Support vector machines
UR - http://www.scopus.com/inward/record.url?scp=74249100402&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=74249100402&partnerID=8YFLogxK
U2 - 10.1007/s10439-009-9833-8
DO - 10.1007/s10439-009-9833-8
M3 - Article
C2 - 19902358
AN - SCOPUS:74249100402
SN - 0090-6964
VL - 38
SP - 164
EP - 176
JO - Annals of Biomedical Engineering
JF - Annals of Biomedical Engineering
IS - 1
ER -