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Abstract #3820

BUDA-SAGE with Slider encoding and self-supervised denoising enables fast, distortion-free, high-resolution T2 and T2* mapping

Zijing Zhang1,2, Huihui Ye1, Long Wang3, Kawin Setsompop4, Huafeng Liu1, and Berkin Bilgic2,5,6
1State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 3Subtle Medical Inc, Menlo Park, CA, United States, 4Radiological Sciences Laboratory, Stanford University, Stanford, CA, United States, 5Department of Radiology, Harvard Medical School, Boston, MA, United States, 6Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States


BUDA-SAGE is an efficient multi-shot echo‐planar imaging (EPI) sequence that provides multiple distortion-free T2*-, T2- and T2-weighted contrasts for quantitative mapping. In this work, we employ Slider encoding to reach 1 mm isotropic resolution by performing super-resolution reconstruction on volumes acquired with 2 mm slice thickness. A self-supervised neural network MR-Self2Self (MR-S2S) was utilized to perform denoising to boost SNR. Estimated quantitative maps showed consistent values with conventional mapping methods in phantom and in-vivo measurements. We demonstrate that BUDA-SAGE acquisition with self-supervised denoising and Slider encoding enables rapid, distortion-free, whole-brain T2/T2* mapping at 1 mm isotropic resolution under 90 seconds.

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