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Abstract #0625

Rapid Pediatric Imaging with Zero-Shot Deep Subspace Reconstruction for Multiparametric Quantitative MRI

Yohan Jun1,2, Shohei Fujita1,2, Jaejin Cho1,2,3, Xingwang Yong1,2,4, Eugene Milshteyn5, Camilo Jaimes2,3,6, Suely Fazio Ferraciolli2,3,6, Borjan Gagoski2,7, Michael S Gee2,3,6, and Berkin Bilgic1,2,8
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Pediatric Imaging Research Center, Massachusetts General Hospital, Boston, MA, United States, 4Zhejiang University, Hangzhou, China, 5GE Healthcare, Boston, MA, United States, 6Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 7Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 8Harvard/MIT Health Sciences and Technology, Cambridge, MA, United States

Synopsis

Keywords: Quantitative Imaging, Pediatric, Quantitative Imaging

Motivation: To address unmet needs for accurate, rapid, and high-fidelity quantitative MRI using a 3D-QALAS sequence.

Goal(s): To enable accurate T1 and T2 mapping with reduced biases, g-factor noise amplification, and relaxation-related blurring compared to conventional QALAS.

Approach: We employed a zero-shot self-supervised subspace reconstruction technique, Zero-DeepSub, which combines scan-specific deep-learning-based reconstruction with low-rank subspace modeling, and demonstrated the performance using ISMRM/NIST phantom and pediatric patients.

Results: Zero-DeepSub enabled a highly accelerated, 2 min acquisition at 1 mm isotropic resolution at 3T, as well as a 5 min pediatric exam at 1.2 mm isotropic resolution at 1.5T.

Impact: Zero-DeepSub enabled accurate T1 and T2 mapping with reduced biases, g-factor noise amplification, and relaxation-related blurring, showing the potential to substantially speed up pediatric brain exams, thus obviating the need for or reducing the amount of sedation and anesthesia.

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Keywords