Mohammad Sabati1,
Jiping Zhan1, Varan Govind1, Kristopher L. Arheart2,
Andrew A. Maudsley1
1Radiology,
University of Miami, Miami, FL, United States; 2Epidemiology and
Public Health, University of Miami, Miami, FL, United States
Several parallel imaging (PI) techniques have been developed for MRSI to reduce data acquisition times. MRSI methods, however, are often sensitivity-limited, and only a few reports have studied the resultant impact that PI may have when applied to MRSI on the outcome of diagnostic accuracy. It therefore remains unknown whether the clinical diagnostic value is maintained for PI-enabled MRSI to detect subtle pathology? This question is addressed by implementing a GRAPPA-MRSI within a fully-automated data processing pipeline and evaluating it using subjects with mild traumatic brain injury who represents a patient group for which the metabolic changes are relatively subtle and diffuse.
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