Estimation of 3-D shape of blood vessels from x-ray images

Yoram Bresler, Albert Macovski

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)251-261
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Aug 3 1984
Externally publishedYes

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Estimation of 3-D shape of blood vessels from x-ray images'. Together they form a unique fingerprint.

Cite this