Abstract #0564

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

Ross W. Mair^1,2, Lindsay C. Hanford^1,3, Emilie Mussard^4,5,6, Tom Hilbert^4,5,6, Tobias Kober^4,5,6, and Randy L. Buckner^1,2,3

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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