A new framework for automated identification of pathological tissues in contrast enhanced cardiac magnetic resonance images

Ahmed Elnakib, Garth M. Beache, M. Nitzken, Georgy Gimel'Farb, Ayman El-Baz

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

5 Scopus citations

Abstract

A novel automated framework for quantification of myocardial viability in contrast enhanced cardiac magnetic resonance images (CE-CMRI) is proposed. The framework consists of three main steps. First, the inner and outer borders of the left ventricle (LV) wall (myocardium wall) are segmented from the surrounding tissue. Second, the pathological tissue in the myocardium wall is identified using a MAP-based classifier based on the visual appearance and spatial interaction of the LV pathological tissue as well as healthy tissue. Third, the myocardial viability is assessed and quantified based on measuring two parameters: the percentage of pathological tissue with respect to the area of the myocardium wall and the transmural extent of the pathological tissue in the myocardium wall. The transmural extent is estimated based on a new Partial Differential Equation (PDE) approach to determine point-to-point correspondences between the inner and outer borders of the pathological area as well as the myocardium wall. The proposed framework was tested on in-vivo CE-CMR images and validated with manual expert delineations of pathological tissue. Experiments and comparison results on real CE-CMR images confirm the robustness and accuracy of the proposed framework over the existing ones.

Original languageEnglish (US)
Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI'11
Pages1272-1275
Number of pages4
DOIs
StatePublished - 2011
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: Mar 30 2011Apr 2 2011

Publication series

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

Other

Other2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country/TerritoryUnited States
CityChicago, IL
Period3/30/114/2/11

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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