Scientific article

Myocardial perfusion assessment by use of system identification method in a one-compartment model

Publication date2007-08
First online date2007-04

Cardiovascular magnetic resonance has been shown to provide high data quality for myocardial perfusion assessment. However, to analyze the perfusion data, some signal processing and modeling is needed to correct for motion related artifacts and limited spatial resolution. This study describes a method based on system identification, allowing, after a first step of image registration, to integrate and correct the partial volume effect in the myocardium perfusion quantification. This method is then applied to patients with coronary artery disease or hypertrophic obstructive cardiomyopathy.

  • Aged
  • Cardiomyopathy, Hypertrophic / pathology
  • Cardiomyopathy, Hypertrophic / physiopathology
  • Coronary Artery Disease / diagnostic imaging
  • Coronary Artery Disease / physiopathology
  • Coronary Circulation
  • Female
  • Heart / physiopathology
  • Humans
  • Image Processing, Computer-Assisted
  • Magnetic Resonance Imaging / methods
  • Male
  • Middle Aged
  • Models, Cardiovascular
  • Myocardial Infarction / pathology
  • Myocardial Infarction / physiopathology
  • Perfusion
  • Radiography
Citation (ISO format)
KOCHER, M et al. Myocardial perfusion assessment by use of system identification method in a one-compartment model. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007, vol. 2007, p. 4492–4495. doi: 10.1109/IEMBS.2007.4353337
Main files (1)
Article (Published version)
ISSN of the journal1094-687X

Technical informations

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