Virtual dissection of aortic lesions from MRI

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

Abstract

In this article we demonstrate the use of an automated technique to visualize lesions in the abdominal aorta, gathered from MRI imagery, and displayed as a stained pathology specimen. We have developed this technique in response to the suggestion from clinical colleagues that such a representation of the data is more understandable to the pathologist than presentation of axial MRI slices, even if the atheroma is of high contrast and very thick. This virtual dissection relies on an initial manual segmentation of the inner and outer walls of the vessel, which I achieved using a commercial cardiac analysis package. The algorithm consists of a) decoding the file that describes the contours; b) generating a center for each slice; c) determining the appropriate posterior position on all slices; d) interpolating along the (approximately circular) lumen and through all slices; e) false color presentation of the wall thickness as a pathological stain.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsA.A. Amini, A. Mandura
Pages496-503
Number of pages8
Volume5369
DOIs
Publication statusPublished - 2004
EventMedical Imaging 2004: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States
Duration: Feb 15 2004Feb 17 2004

Other

OtherMedical Imaging 2004: Physiology, Function, and Structure from Medical Images
CountryUnited States
CitySan Diego, CA
Period2/15/042/17/04

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Keywords

  • Aorta
  • Lesion
  • MRI
  • Pathology specimen
  • Virtual dissection

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

McColl, R. W., Lo, H., & Peshock, R. M. (2004). Virtual dissection of aortic lesions from MRI. In A. A. Amini, & A. Mandura (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 5369, pp. 496-503) https://doi.org/10.1117/12.535937