Quantitative myocardial infarction on delayed enhancement MRI. Part I: Animal validation of an automated feature analysis and combined thresholding infarct sizing algorithm

Li Yueh Hsu, Alex Natanzon, Peter Kellman, Glenn A. Hirsch, Anthony H. Aletras, Andrew E. Arai

Research output: Contribution to journalArticlepeer-review

111 Scopus citations

Abstract

Purpose: To develop a computer algorithm to measure myocardial infarct size In gadolinium-enhanced magnetic resonance (MR) Imaging and to validate this method using a canine histopathological reference. Materials and Methods: Delayed enhancement MR was performed In 11 dogs with myocardial Infarction (MI) determined by triphenyltetrazolium chloride (TTC). Infarct size on in vivo and ex vivo Images was measured by a computer algorithm based on automated feature analysis and combined thresholding (FACT). For comparison, infarct size by human manual contouring and simple intensity thresholding (based on two standard deviation [2SD] and full width at half maximum [FWHM]) were studied. Results: Both in vivo and ex vivo MR infarct size measured by the FACT algorithm correlated well with TTC (R = 0.95-0.97) and showed no significant bias on Bland Altman analysis (P = not significant). Despite similar correlations (R = 0.91-0.97), human manual contouring overestimated in vivo MR Infarct size by 5.4% of the left ventricular (LV) area (equivalent to 55.1% of the MI area) vs. TTC (P <0.001). Infarct size measured by simple Intensity thresholdings was less accurate than the proposed algorithm (P <0.001 and P = 0.007). Conclusion: The FACT algorithm accurately measured MI size on delayed enhancement MR imaging In vivo and ex vivo. The FACT algorithm was also more accurate than human manual contouring and simple intensity thresholding approaches.

Original languageEnglish (US)
Pages (from-to)298-308
Number of pages11
JournalJournal of Magnetic Resonance Imaging
Volume23
Issue number3
DOIs
StatePublished - Mar 2006
Externally publishedYes

Keywords

  • Computer algorithm
  • Contrast agent
  • Expert system
  • Gadolinium
  • Image processing
  • Magnetic resonance imaging
  • Myocardial infarction

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

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