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Abstract #2437

Submillimeter Isotropic Whole Brain DTI at 3T with 2D Multi-band Multi-shot EPI Acquisition and Deep Learning Reconstruction

Baolian Yang1, Xinzeng Wang2, Christopher Petty3, Arnaud Guidon4, R. Marc Lebel5, Suchandrima Banerjee6, and Allen Song3
1GE Healthcare, Waukee, WI, United States, 2GE Healthcare, Houston, TX, United States, 3Duke University Medical Center, Durham, NC, United States, 4GE Healthcare, Boston, MA, United States, 5GE Healthcare, Calgary, AB, Canada, 6GE Healthcare, Menlo Park, CA, United States

Synopsis

Keywords: Tractography, Brain Connectivity

Motivation: High resolution diffusion tensor imaging (DTI) is associated with low intrinsic sensitivity and therefore it is difficult to achieve simultaneously high resolution and high SNR.

Goal(s): To acquire submillimeter DTI to map human brain structural connectivity networks with improved accuracy and detail than standard resolution DTI.

Approach: We combine a deep learning reconstruction method with MB-MUSE to further enhance the image quality and demonstrate improved quantification of submillimeter isotropic (0.8×0.8×0.8 mm3) whole brain DTI at 3T with approximately 1 minute per diffusion direction scan time.

Results: The exceptional delineation and clarity of fiber tracking was achieved from submillimeter isotropic whole brain DTI.

Impact: Submillimeter isotropic whole brain DTI with approximately 1 minute per diffusion direction scan time at 3T with high SNR, low distortion, provides us with a powerful tool to map whole brain structural connectivity networks with exceptional clarity and quantification.

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Keywords