Automated analysis of coronary lesions from cineangiograms using vessel tracking and iterative deconvolution techniques

N. Alperin, K. R. Hoffmann, K. Doi, K. G. Chua

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

10 Scopus citations

Abstract

An integrated approach to automated analysis of coronary lesions from cineangiograms is being developed. A vessel segment between two selected endpoints is tracked with a sector-search method. Tracking points in the vessel are located by examination of the pixel values along a box perimeter over a limited range defined by an angular sector which is oriented toward one of the endpoints. Tracked points are fitted by a polynomial curve that yields a smooth vessel centerline, which is used for generation of a straightened vessel image. The image is then corrected for the nonuniform background in the cine image, which is estimated by a two-dimensional fit of the region surrounding the vessel. For each line in the corrected image, the vessel size is determined by the iterative deconvolution technique, which takes into account the line-spread function of the imaging system. With this integrated approach, stenotic lesions can be assessed accurately, even in the presence of complicated vascular anatomy, such as bifurcations, branches, or overlapping vascular structures.

Original languageEnglish (US)
Title of host publicationComputers in Cardiology
PublisherPubl by IEEE
Pages153-156
Number of pages4
ISBN (Print)0818621141
StatePublished - Sep 1 1989
Externally publishedYes
EventProceedings - Computers in Cardiology - Jerusalem, Isr
Duration: Sep 19 1989Sep 22 1989

Publication series

NameComputers in Cardiology
ISSN (Print)0276-6574

Other

OtherProceedings - Computers in Cardiology
CityJerusalem, Isr
Period9/19/899/22/89

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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  • Cite this

    Alperin, N., Hoffmann, K. R., Doi, K., & Chua, K. G. (1989). Automated analysis of coronary lesions from cineangiograms using vessel tracking and iterative deconvolution techniques. In Computers in Cardiology (pp. 153-156). (Computers in Cardiology). Publ by IEEE.