ESTIMATION OF 3-D SHAPE OF BLOOD VESSELS FROM X-RAY IMAGES.

Yoram Bresler, Albert Macovski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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, optimum data utilization, and the clinical need for three-dimensional information about the vessel is presented. 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 that was infeasible for the 3-D problem.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherIEEE
Pages251-258
Number of pages8
ISBN (Print)0818605448
StatePublished - Jan 1 1984
Externally publishedYes

    Fingerprint

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Bresler, Y., & Macovski, A. (1984). ESTIMATION OF 3-D SHAPE OF BLOOD VESSELS FROM X-RAY IMAGES. In Unknown Host Publication Title (pp. 251-258). IEEE.