Quantitative analysis of first-pass contrast-enhanced myocardial perfusion MRI using a Patlak plot method and blood saturation correction

Magn Reson Med. 2009 Aug;62(2):373-83. doi: 10.1002/mrm.22018.

Abstract

The objectives of this study were to develop a method for quantifying myocardial K(1) and blood flow (MBF) with minimal operator interaction by using a Patlak plot method and to compare the MBF obtained by perfusion MRI with that from coronary sinus blood flow in the resting state. A method that can correct for the nonlinearity of the blood time-signal intensity curve on perfusion MR images was developed. Myocardial perfusion MR images were acquired with a saturation-recovery balanced turbo field-echo sequence in 10 patients. Coronary sinus blood flow was determined by phase-contrast cine MRI, and the average MBF was calculated as coronary sinus blood flow divided by left ventricular (LV) mass obtained by cine MRI. Patlak plot analysis was performed using the saturation-corrected blood time-signal intensity curve as an input function and the regional myocardial time-signal intensity curve as an output function. The mean MBF obtained by perfusion MRI was 86 +/- 25 ml/min/100 g, showing good agreement with MBF calculated from coronary sinus blood flow (89 +/- 30 ml/min/100 g, r = 0.74). The mean coefficient of variation for measuring regional MBF in 16 LV myocardial segments was 0.11. The current method using Patlak plot permits quantification of MBF with operator interaction limited to tracing the LV wall contours, registration, and time delays.

Publication types

  • Comparative Study
  • Evaluation Study

MeSH terms

  • Algorithms
  • Artifacts
  • Blood Flow Velocity*
  • Contrast Media
  • Coronary Circulation*
  • Coronary Stenosis / diagnosis*
  • Female
  • Humans
  • Image Enhancement / methods*
  • Magnetic Resonance Angiography / methods*
  • Magnetic Resonance Imaging, Cine / methods*
  • Male
  • Middle Aged
  • Reproducibility of Results
  • Sensitivity and Specificity

Substances

  • Contrast Media