TY - JOUR
T1 - A Comparison of Theory-Based and Experimentally Determined Myocardial Signal Intensity Correction Methods in First-Pass Perfusion Magnetic Resonance Imaging
AU - Fluckiger, Jacob U.
AU - Benefield, Brandon C.
AU - Bakhos, Lara
AU - Harris, Kathleen R.
AU - Lee, Daniel C.
N1 - Publisher Copyright:
© 2015 Jacob U. Fluckiger et al.
PY - 2015
Y1 - 2015
N2 - Objectives. To evaluate the impact of correcting myocardial signal saturation on the accuracy of absolute myocardial blood flow (MBF) measurements. Materials and Methods. We performed 15 dual bolus first-pass perfusion studies in 7 dogs during global coronary vasodilation and variable degrees of coronary artery stenosis. We compared microsphere MBF to MBF calculated from uncorrected and corrected MRI signal. Four correction methods were tested, two theoretical methods (Th1 and Th2) and two empirical methods (Em1 and Em2). Results. The correlations with microsphere MBF (n = 90 segments) were: uncorrected (y = 0.47 x + 1.1, r = 0.70), Th1 (y = 0.53 x + 1.0, r = 0.71), Th2 (y = 0.62 x + 0.86, r = 0.73), Em1 (y = 0.82 x + 0.86, r = 0.77), and Em2 (y = 0.72 x + 0.84, r = 0.75). All corrected methods were not significantly different from microspheres, while uncorrected MBF values were significantly lower. For the top 50% of microsphere MBF values, flows were significantly underestimated by uncorrected SI (31%), Th1 (25%), and Th2 (19%), while Em1 (1%), and Em2 (9%) were similar to microsphere MBF. Conclusions. Myocardial signal saturation should be corrected prior to flow modeling to avoid underestimation of MBF by MR perfusion imaging.
AB - Objectives. To evaluate the impact of correcting myocardial signal saturation on the accuracy of absolute myocardial blood flow (MBF) measurements. Materials and Methods. We performed 15 dual bolus first-pass perfusion studies in 7 dogs during global coronary vasodilation and variable degrees of coronary artery stenosis. We compared microsphere MBF to MBF calculated from uncorrected and corrected MRI signal. Four correction methods were tested, two theoretical methods (Th1 and Th2) and two empirical methods (Em1 and Em2). Results. The correlations with microsphere MBF (n = 90 segments) were: uncorrected (y = 0.47 x + 1.1, r = 0.70), Th1 (y = 0.53 x + 1.0, r = 0.71), Th2 (y = 0.62 x + 0.86, r = 0.73), Em1 (y = 0.82 x + 0.86, r = 0.77), and Em2 (y = 0.72 x + 0.84, r = 0.75). All corrected methods were not significantly different from microspheres, while uncorrected MBF values were significantly lower. For the top 50% of microsphere MBF values, flows were significantly underestimated by uncorrected SI (31%), Th1 (25%), and Th2 (19%), while Em1 (1%), and Em2 (9%) were similar to microsphere MBF. Conclusions. Myocardial signal saturation should be corrected prior to flow modeling to avoid underestimation of MBF by MR perfusion imaging.
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U2 - 10.1155/2015/843741
DO - 10.1155/2015/843741
M3 - Article
C2 - 26491465
AN - SCOPUS:84944198548
SN - 1748-670X
VL - 2015
JO - Computational and Mathematical Methods in Medicine
JF - Computational and Mathematical Methods in Medicine
M1 - 843741
ER -