Abstract #1608

Joint reconstruction of multi-TE diffusion MRI acquired using TDM-EPI with complementary k-space sampling

Yang Ji^1,2, Congyu Liao³, William Scott Hoge⁴, Berkin Bilgic⁵, Yogesh Rathi^1,4, and Lipeng Ning¹

¹Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States, ²Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, ³Department of Radiology, Stanford University, Stanford, CA, United States, ⁴Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States, ⁵Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States

Synopsis

Combined diffusion-relaxometry has demonstrated promising capability to noninvasively probe tissue microstructure by joint modeling of relaxation coefficients and diffusivity. Our recent work has introduced a sequence based on the time-division multiplexing technique to accelerate the acquisition of relaxation-diffusion MRI. In this work, we further developed the TDM-EPI sequence by integrating ky-shifted k-space sampling strategies for data acquired at different TEs. Moreover, we implemented and compared several reconstruction methods to integrate complementary k-space samples to joint estimate images at different TEs. The results showed that the joint reconstruction approach can improve image quality and reduce artifact compared with conventional reconstruction methods.

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