Abstract #1415

Accelerated MR Diffusion Tensor Imaging Using Partial Fourier Compressed Sensing

Chia-Chu Chou¹, Frank Q Ye², Cecil Chern-Chyi Yen³, Behtash Babadi¹, Rao P Gullapalli⁴, David A Leopold², and JiaChen Zhuo⁴

¹ECE, University of Maryland College Park, College Park, MD, United States, ²Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, and National Eye Institute, National Institutes of Health, Bethesda, MD, United States, ³NINDS/LFMI/CMS, National Institutes of Health, Bethesda, MD, United States, ⁴Diagnostic Radiology and Nuclear Medicine, UM School of Medicine, Baltimore, MD, United States

3D-DTI are often used in ex vivo imaging to achieve superior spatial resolution and to map fine white matter structure. However, image acquisition time is long especially when many diffusion directions are used to better define orientation profiles and resolve crossing fibers. In this study we apply a new imaging acceleration technique – Partial Fourier Compressed Sensing (PFCS) on DTI acceleration. We demonstrated PFCS provide satisfactory reconstruction with only half of the raw data while retaining fine anatomical details on DTI parameter maps.

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