Estimating continuous 4D wall motion of cerebral aneurysms from 3D rotational angiography

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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. © 2009 Springer-Verlag.

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Zhang, C., De Craene, M., Villa-Uriol, M. C., Pozo, J. M., Bijnens, B. H., & Frangi, A. F. (2009). Estimating continuous 4D wall motion of cerebral aneurysms from 3D rotational angiography. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5761 LNCS, pp. 140–147). https://doi.org/10.1007/978-3-642-04268-3_18

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