Automated IVUS contour detection using intensity features and Radial Basis Function approximation

Maria Papadogiorgaki, Vasileios Mezaris, Yiannis S. Chatzizisis, George D. Giannoglou, Ioannis Kompatsiaris

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

7 Scopus citations

Abstract

Intravascular ultrasound (IVUS) constitutes a valuable technique for the diagnosis and management of coronary atherosclerosis. The detection of lumen and media-adventitia borders in IVUS images represents a necessary step in the utilization of the IVUS data for the reliable quantitative assessment of atherosclerotic lesions. In this paper, a fully automated technique for the detection of lumen and media-adventitia boundaries is developed. This comprises two different steps for contour initialization, one for each corresponding contour of interest, and a procedure for the refinement of the detected contours based on Radial Basis Function approximation. The proposed approach is shown to be capable of performing quick and reliable automated segmentation of IVUS images.

Original languageEnglish (US)
Title of host publicationProceedings - Twentieth IEEE International Symposium on Computer-Based Medical Systems, CBMS'07
Pages183-188
Number of pages6
DOIs
Publication statusPublished - Oct 1 2007
Event20th IEEE International Symposium on Computer-Based Medical Systems, CBMS'07 - Maribor, Slovenia
Duration: Jun 20 2007Jun 22 2007

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Conference

Conference20th IEEE International Symposium on Computer-Based Medical Systems, CBMS'07
CountrySlovenia
CityMaribor
Period6/20/076/22/07

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ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Cite this

Papadogiorgaki, M., Mezaris, V., Chatzizisis, Y. S., Giannoglou, G. D., & Kompatsiaris, I. (2007). Automated IVUS contour detection using intensity features and Radial Basis Function approximation. In Proceedings - Twentieth IEEE International Symposium on Computer-Based Medical Systems, CBMS'07 (pp. 183-188). [4262647] (Proceedings - IEEE Symposium on Computer-Based Medical Systems). https://doi.org/10.1109/CBMS.2007.27