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Proceedings Paper

Automated analysis of infarct heterogeneity on delayed enhancement magnetic resonance images
Author(s): YingLi Lu; Gideon A. Paul; Kim A. Connelly; Graham A. Wright; Perry E. Radau
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Paper Abstract

In this work, we propose an automated infarct heterogeneity analysis method for cardiac delayed enhancement magnetic resonance images (DE-MRI). Advantages of this method include that it eliminates manual contouring of the left ventricle and automatically distinguishes infarct, "gray zone" (heterogeneous mixture of healthy and infarct tissue), and healthy tissue pixels despite variability in intensity and noise across images. Quantitative evaluation was performed on 12 patients. The automatically determined infarct core size and gray zone size showed high correlation with that derived from manual delineation (R2 = 0.91 for infarct core size and R2 = 0.87 for gray zone size). The automatic method shortens the evaluation to 5.6 ±2.2 s per image, compared with 3 min for the manual method. These results indicate a promising method for automatic analysis of infarct heterogeneity with DE-MRI that should be beneficial for reducing variability in quantitative analysis and improving workflow.

Paper Details

Date Published: 11 March 2011
PDF: 8 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79622F (11 March 2011); doi: 10.1117/12.876796
Show Author Affiliations
YingLi Lu, Sunnybrook Health Sciences Ctr. (Canada)
Gideon A. Paul, Sunnybrook Health Sciences Ctr. (Canada)
Kim A. Connelly, Univ. of Toronto (Canada)
Sunnybrook Health Sciences Ctr. (Canada)
Graham A. Wright, Sunnybrook Health Sciences Ctr. (Canada)
Univ. of Toronto (Canada)
Perry E. Radau, Sunnybrook Health Sciences Ctr. (Canada)


Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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