A Comparison of Theory-Based and Experimentally Determined Myocardial Signal Intensity Correction Methods in First-Pass Perfusion Magnetic Resonance ImagingReport as inadecuate




A Comparison of Theory-Based and Experimentally Determined Myocardial Signal Intensity Correction Methods in First-Pass Perfusion Magnetic Resonance Imaging - Download this document for free, or read online. Document in PDF available to download.

Computational and Mathematical Methods in Medicine - Volume 2015 2015, Article ID 843741, 9 pages -

Research Article

Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA

Feinberg Cardiovascular Research Institute, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA

Division of Cardiology, Department of Medicine, Loyola University Chicago Stritch School of Medicine, Maywood, IL 60153, USA

Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA

Received 16 March 2015; Accepted 24 August 2015

Academic Editor: Michel Dojat

Copyright © 2015 Jacob U. Fluckiger et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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 segments were: uncorrected , , Th1 , , Th2 , , Em1 , , and Em2 , . 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.





Author: Jacob U. Fluckiger, Brandon C. Benefield, Lara Bakhos, Kathleen R. Harris, and Daniel C. Lee

Source: https://www.hindawi.com/



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