Computer-assisted calculation of myocardial infarct size shortens the evaluation time of contrast-enhanced cardiac MRI

Lene Rosendahl, Peter Blomstrand, Einar Heiberg, Jan Ohlsson, Per-Gunnar Bjoerklund, Britt-Marie Ahlander, Jan Engvall

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Delayed enhancement magnetic resonance imaging depicts scar in the left ventricle which can be quantitatively measured. Manual segmentation and scar determination is time consuming. The purpose of this study was to evaluate a software for infarct quantification, to compare with manual scar determination, and to measure the time saved. Methods: Delayed enhancement magnetic resonance imaging was performed in 40 patients where myocardial perfusion single photon emission computed tomography imaging showed irreversible uptake reduction suggesting a myocardial scar. After segmentation, the semi-automatic software was applied. A scar area was displayed, which could be corrected and compared with manual delineation. The different time steps were recorded with both methods. Results: The software shortened the average evaluation time by 12 4 min per cardiac exam, compared with manual delineation. There was good correlation of myocardial volume, infarct volume and infarct percentage (%) between the two methods, r = 0 95, r = 0 92 and r = 0 91 respectively. Conclusion: A computer software for myocardial volume and infarct size determination cut the evaluation time by more than 50% compared with manual assessment, with maintained clinical accuracy.
Original languageEnglish
Pages (from-to)1-7
JournalClinical Physiology and Functional Imaging
Volume28
Issue number1
DOIs
Publication statusPublished - 2008

Subject classification (UKÄ)

  • Physiology

Free keywords

  • time saving
  • semi-automatic
  • magnetic resonance imaging
  • computer software
  • myocardial infarct size

Fingerprint

Dive into the research topics of 'Computer-assisted calculation of myocardial infarct size shortens the evaluation time of contrast-enhanced cardiac MRI'. Together they form a unique fingerprint.

Cite this