Automatic classification of images of an angiography sequence using modified shape context-based spatial pyramid kernels

Fei Wang*, Yong Zhang, Hayit Greenspan, Tanveer Syeda-Mahmood, David Beymer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Coronary angiography is routinely used to screen patients both prior to and during angioplasty. Each angiography study results in a collection of video sequences or runs that depict coronary arteries from different viewpoints. A key problem to be addressed in the automatic interpretation of coronary angiography videos is the identification of images depicting coronary arteries in these sequences. In this paper we present a classification approach to distinguish between the coronary arteries and background images using the shape context descriptor and the learning framework of spatial pyramid kernels. Specifically, we extract centerlines of coronary arteries and represent their intensity distributions and layouts using a Mercer kernel formed from the histograms of intensity and shape context. A multi-class support vector machine is then used to classify a new image depicting coronary arteries. Experimental results are presented that show a high degree of accuracy in artery classification using our approach even under variation in appearance due to viewpoint, coronary anatomy differences, disease-specific variations and changes in imaging conditions.

Original languageEnglish
Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI'11
Pages1091-1096
Number of pages6
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: 30 Mar 20112 Apr 2011

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country/TerritoryUnited States
CityChicago, IL
Period30/03/112/04/11

Keywords

  • angiography sequence analysis
  • shape context
  • spatial pyramid kernel
  • vessel classification

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