Share Email Print

Proceedings Paper

Computerized measurement of myocardial infarct size on contrast-enhanced magnetic resonance images
Author(s): Li-Yueh Hsu; Peter Kellman; Alex Natanzon M.D.; Glenn A. Hirsch M.D.; Anthony H. Aletras; Andrew E. Arai M.D.
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Purpose: To validate a computer algorithm for measuring myocardial infarct size on gadolinium enhanced MR images. The results of computer infarct sizing are studied on phase-sensitive and magnitude imaging against a histopathology reference. Materials and Methods: Validations were performed in 9 canine myocardial infarctions determined by triphenyltetrazolium chloride (TTC). The algorithm analyzed the pixel intensity distribution within manually traced myocardial regions. Pixels darker than an automatically determined threshold were first excluded from further analysis. Selected image features were used to remove false positive regions. A threshold 50% between bright and dark regions was then used to minimize partial volume errors. Post-processing steps were applied to identify microvascular obstruction. Both phase sensitive and magnitude reconstructed MR images were measured by the computer algorithm in units of % of the left ventricle (LV) infarction and compared to TTC. Results: Correlations of MR and TTC infarct size were 0.96 for both phase sensitive and magnitude imaging. Bland Altman analysis showed no consistent bias as a function of infarct size. The average error of computer infarct sizing was less than 2% of the LV for both reconstructions. Fixed intensity thresholding was less accurate compared to the computer algorithm. Conclusions: MR can accurately depict myocardial infarction. The proposed computer algorithm accurately measures infarct size on contrast-enhanced MR images against the histopathology reference. It is effective for both phase-sensitive and magnitude imaging.

Paper Details

Date Published: 14 April 2005
PDF: 7 pages
Proc. SPIE 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images, (14 April 2005); doi: 10.1117/12.595371
Show Author Affiliations
Li-Yueh Hsu, National Institutes of Health (United States)
Peter Kellman, National Institutes of Health (United States)
Alex Natanzon M.D., National Institutes of Health (United States)
Glenn A. Hirsch M.D., National Institutes of Health (United States)
Anthony H. Aletras, National Institutes of Health (United States)
Andrew E. Arai M.D., National Institutes of Health (United States)

Published in SPIE Proceedings Vol. 5746:
Medical Imaging 2005: Physiology, Function, and Structure from Medical Images
Amir A. Amini; Armando Manduca, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?