Abstract #2436

Ultra-high resolution b-tensor encoding using gSlider on a clinical scanner

Qiang Liu^1,2, Congyu Liao^3,4, Borjan Gagoski⁵, William Grissom⁶, Maxim Zaitsev⁷, Jon-Fredrik Nielsen⁸, Berkin Bilgic^9,10, Carl-Fredrik Westin¹, Lipeng Ning¹, and Yogesh Rathi¹

¹Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, ²School of Biomedical Engineering, Southern Medical University, Guangzhou, China, ³Department of Radiology, Stanford University, Stanford, CA, United States, ⁴Department of Electrical Engineering, Stanford University, Stanford, CA, United States, ⁵Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States, ⁶Department of Biomedical Engineering, Case School of Engineering, Case Western Reserve University, Cleveland, OH, United States, ⁷Division of Medical Physics, Department of Radiology, University Medical Center Freiburg, Freiburg, Germany, ⁸fMRI Laboratory and Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, ⁹Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, ¹⁰Department of Radiology, Harvard Medical School, Boston, MA, United States

Synopsis

Keywords: Diffusion Acquisition, Diffusion/other diffusion imaging techniques

Motivation: Spherical tensor encoding (STE) reveals microstructural information about tissues, which is hidden in conventional diffusion MRI techniques. However, existing STE acquisition techniques have low spatial resolution which masks intricate anatomical details.

Goal(s): To increase the spatial resolution of STE using the SNR-efficient gSlider sequence.

Approach: Isotropic b-tensor encoding diffusion-gradient waveforms were synergistically combined with the gSlider sequence using Pulseq vendor-neutral sequence development platform to obtain high resolution data.

Results: We demonstrate in-vivo results with the highest spatial resolution to-date of 1 mm isotropic voxels using the proposed STE-gSlider sequence.

Impact: High spatial resolution for b-tensor encoding will enable investigation of microstructural information in intricate detail in the brain in health and disease. Further, the proposed open-source sequence can be used on any vendor platform.

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