Paper
3 August 1984 Estimation Of 3-D Shape Of Blood Vessels From X-Ray Images.
Yoram Bresler, Albert Macovski
Author Affiliations +
Abstract
A new approach to blood vessel boundary estimation from a few whole volume projection images addressing the problems of low S/N ratio, low sampling rate and optimum data utilization, and the clinical need for three dimensional information about the vessel is presented in this paper. It is based on a recently developed estimation approach and algorithm for 3-D reconstruction from projections with incomplete and very noisy data. Using a stochastic dynamic model for the vessel, the imaging problem is reformulated as a nonlinear state estimation problem of small dimensionality, and an approximate recursive MMSE smoothing algorithm for its solution is presented. Computationally, the algorithm outperforms by orders of magnitude a previously suggested estimation method for blood vessel imaging, which was infeasible for the 3-D problem.
© (1984) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yoram Bresler and Albert Macovski "Estimation Of 3-D Shape Of Blood Vessels From X-Ray Images.", Proc. SPIE 0515, Medical Images and Icons, (3 August 1984); https://doi.org/10.1117/12.964766
Lens.org Logo
CITATIONS
Cited by 22 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Signal to noise ratio

Blood vessels

Error analysis

Reconstruction algorithms

Algorithm development

3D image processing

Fourier transforms

Back to Top