Abstract #0395

Motion resolved rapid 3D multiparametric brain mapping with self-navigation

Shohei Fujita^1,2,3,4, Yohan Jun^1,2, Xingwang Yong^1,2,5, Jaejin Cho^1,2, Borjan Gagoski^2,6, and Berkin Bilgic^1,2,7

¹Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, ²Department of Radiology, Harvard Medical School, Boston, MA, United States, ³Department of Radiology, Juntendo University, Tokyo, Japan, ⁴Department of Radiology, The University of Tokyo, Tokyo, Japan, ⁵Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Zhejiang, China, ⁶Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, ⁷Harvard/MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States

Synopsis

Keywords: Quantitative Imaging, Neuro

Motivation: While 3D multiparametric mapping acquisitions can provide rich and quantitative information, their long acquisition time renders them susceptible to motion.

Goal(s): To develop a rapid, multiparametric technique for motion-robust brain mapping.

Approach: 3D-QALAS acquisition with Cartesian variable-density sampling was implemented to achieve self-navigation while maintaining high scan efficiency. Brain position was estimated for each TR and incorporated in the reconstruction’s forward model.

Results: The proposed method enabled reconstruction of motion-resolved datasets at a time resolution of 4.5s with tracking accuracy of <0.2 degrees and <0.5mm, providing T1 and T2 maps with significantly reduced artifacts and improved agreement with measurements from motion-free scans.

Impact: We propose an efficient, whole-brain quantitative scan at 1mm³ resolution in 3:36min and incorporate self-navigated motion-correction, thereby obviating the need for navigators or external hardware. This benefits clinical translation especially for imaging unsedated children in clinical and research settings.

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