Abstract #2151

Exploration of highly accelerated multi-echo MPRAGE using compressed sensing for brain morphometry applications

Lindsay C Hanford^1,2,3, Emily M Iannazzi^1,2, Tom Hilbert^4,5,6, Tobias Kober^4,5,6, Randy L Buckner^1,2,3, and Ross W Mair^1,3

¹Center for Brain Science, Harvard University, Cambridge, MA, United States, ²Department of Psychology, Harvard University, Cambridge, MA, United States, ³Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, 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

Compressed sensing (cs) has the potential to shorten scan acquisition time. This time savings may help to reduce patient burden, MR artifacts due to motion, and cost for repeat acquisitions. A key open question is whether time-saving cs T1w structural images will yield quantitative morphometric estimates comparable to traditional longer sequences. To test this, images were acquired for numerous cs T1w image variations across two independent datasets. Structural estimates were compared within- and between-subjects to assess scan stability and the effect of acceleration. x6 cs acceleration (~86s scan) was sufficient to yield comparable morphometrics for most measures in typical applications.

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