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Automatic detection of aorto-femoral vessel trajectory from whole-body computed tomography angiography data sets

Authors :
Gao, X. (Xinpei)
Kitslaar, P.H. (Pieter)
Budde, R.P.J. (Ricardo)
Tu, S. (Shengxian)
Graaf, M.A. (Michiel) de
Xu, L. (Liang)
Xu, B. (Bo)
Scholte, A. (Arthur)
Dijkstra, J. (Jouke)
Reiber, J.H.C. (Johan H. C.)
Gao, X. (Xinpei)
Kitslaar, P.H. (Pieter)
Budde, R.P.J. (Ricardo)
Tu, S. (Shengxian)
Graaf, M.A. (Michiel) de
Xu, L. (Liang)
Xu, B. (Bo)
Scholte, A. (Arthur)
Dijkstra, J. (Jouke)
Reiber, J.H.C. (Johan H. C.)
Publication Year :
2016

Abstract

Extraction of the aorto-femoral vessel trajectory is important to utilize computed tomography angiography (CTA) in an integrated workflow of the image-guided work-up prior to trans-catheter aortic valve replacement (TAVR). The aim of this study was to develop a new, fully-automated technique for the extraction of the entire arterial access route from the femoral artery to the aortic root. An automatic vessel tracking algorithm was first used to find the centerline that connected the femoral accessing points and the aortic root. Subsequently, a deformable 3D-model fitting method was used to delineate the lumen boundary of the vascular trajectory in the whole-body CTA d

Details

Database :
OAIster
Notes :
application/pdf, International Journal of Cardiovascular Imaging vol. 32 no. 8, pp. 1311-1322, English
Publication Type :
Electronic Resource
Accession number :
edsoai.ocn957099694
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1007.s10554-016-0901-5