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Abstract #0564

Optimizing rapid compressed-sensing MPRAGE acquisitions for repeat sampling of brain morphometry within individuals

Ross W. Mair1,2, Lindsay C. Hanford1,3, Emilie Mussard4,5,6, Tom Hilbert4,5,6, Tobias Kober4,5,6, and Randy L. Buckner1,2,3
1Center for Brain Science, Harvard University, Cambridge, MA, United States, 2Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Department of Psychology, Harvard University, Cambridge, MA, United States, 4Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 5Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 6LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

Incoherent under-sampling and compressed-sensing reconstructions can reduce the scan time for a 1.0 mm MPRAGE down to as little as 60-90 seconds. Such time-savings permit the acquisition of multiple scans per session, allowing the variation of image metrics and brain morphometrics around their mean values to be quantified. We compared MPRAGE scans accelerated up to eight-fold with a fully-sampled MPRAGE; and using SNR, cortical thickness and gray matter volume, assessed the optimal regularization in the compressed-sensing reconstruction for each acceleration level to best match the values from the fully-sampled scan.

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