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Automated patient‐specific optimization of three‐dimensional double‐inversion recovery magnetic resonance imaging
Author(s) -
Gabr Refaat E.,
Sun Xiaojun,
Pednekar Amol S.,
Narayana Ponnada A.
Publication year - 2016
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.25616
Subject(s) - white matter , magnetic resonance imaging , fluid attenuated inversion recovery , flip angle , nuclear medicine , reproducibility , computer science , contrast (vision) , nuclear magnetic resonance , pattern recognition (psychology) , artificial intelligence , physics , mathematics , medicine , radiology , statistics
Purpose To automatically optimize three‐dimensional double‐inversion recovery (3D‐DIR) MRI of the brain on a patient‐by‐patient basis. Methods DIR is a powerful MRI technique that allows simultaneous suppression of white matter (WM) and cerebrospinal fluid (CSF) in brain imaging. Unfortunately, the tissue suppression is not always consistent across patients. We propose patient‐specific optimization of WM suppression for improved gray matter (GM)–WM contrast. Relaxation times were measured in the same scan session, and through real time processing were used for calculating DIR inversion times for maximum tissue contrast. Signal evolution during the variable‐flip‐angle turbo‐spin‐echo readout was calculated using the extended phase graph algorithm. Patient‐specific optimization was examined in five healthy volunteers and two multiple sclerosis patients. Two volunteers were scanned twice for reproducibility. The contrast ratios, GM signal‐to‐noise ratio (SNR), and image histogram were used to assess the performance of this patient‐specific approach. Results Automated optimization of 3D‐DIR was successfully completed in all experiments with processing time of ∼1 min. GM–WM contrast ratio tripled with the optimized DIR sequence, with only a 19% decrease in GM–CSF contrast and 30% SNR penalty. Conclusion Patient‐specific optimization is feasible and significantly improves GM–WM contrast on 3D‐DIR with a moderate decrease in the GM SNR. Magn Reson Med 75:585–593, 2016. © 2015 Wiley Periodicals, Inc.