Chapter title |
Estimating Continuous 4D Wall Motion of Cerebral Aneurysms from 3D Rotational Angiography
|
---|---|
Chapter number | 18 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009
|
Published in |
Lecture notes in computer science, January 2009
|
DOI | 10.1007/978-3-642-04268-3_18 |
Pubmed ID | |
Book ISBNs |
978-3-64-204267-6, 978-3-64-204268-3
|
Authors |
Zhang, Chong, De Craene, Mathieu, Villa-Uriol, Maria-Cruz, Pozo, Jose M., Bijnens, Bart H., Frangi, Alejandro F., Mirota, Daniel, Wang, Hanzi, Taylor, Russell H., Ishii, Masaru, Hager, Gregory D., Chong Zhang, Mathieu De Craene, Maria-Cruz Villa-Uriol, Jose M. Pozo, Bart H. Bijnens, Alejandro F. Frangi |
Abstract |
This paper presents a technique to recover dynamic 3D vascular morphology from a single 3D rotational X-ray angiography acquisition. The dynamic morphology corresponding to a canonical cardiac cycle is represented via a 4D B-spline based spatiotemporal deformation. Such deformation is estimated by simultaneously matching the forward projections of a sequence of the temporally deformed 3D reference volume to the entire 2D measured projection sequence. A joint use of two acceleration strategies is also proposed: semi-precomputation of forward projections and registration metric computation based on a narrow-band region-of-interest. Digital and physical phantoms of pulsating cerebral aneurysms have been used for evaluation. Accurate estimation has been obtained in recovering sub-voxel pulsation, even from images with substantial intensity inhomogeneity. Results also demonstrate that the acceleration strategies can reduce memory consumption and computational time without degrading the performance. |
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