Automated Patient-Specific Optimization of Three-Dimensional Double-Inversion Recovery Magnetic Resonance Imaging

作者：Gabr Refaat E^*; Sun Xiaojun; Pednekar Amol S; Narayana Ponnada A

来源：Magnetic Resonance in Medicine, 2016, 75(2): 585-593.

DOI：10.1002/mrm.25616

• patient-specific optimization
• personalized imaging
• relaxation time
• image analysis
• extended phase graph
• multiple sclerosis

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 similar to 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.

• 出版日期2016-2