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Abstract #0004

Spherical Echo-Planar Time-resolved Imaging (sEPTI) for rapid 3D quantitative T2* and susceptibility imaging

Nan Wang1, Congyu Liao1,2, Xiaozhi Cao1,2, Mark Nishimura2, Yannick WE Brackenier1, Mahmut Yurt2, Mengze Gao1, Daniel Abraham2, Cagan Alkan2, Siddharth Srinivasan Iyer1,3, Zihan Zhou1, Hwihun Jeong4, Adam Kerr2,5, Justin P. Halda6, and Kawin Setsompop1,2
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 3Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, United States, 4Seoul National University, Seoul, Korea, Republic of, 5Cognitive and Neurobiological Imaging Center, Stanford University, Stanford, CA, United States, 6Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States

Synopsis

Keywords: YIA, Acquisition Methods, Acquisition & analysis, Image reconstruction, Quantitative imaging, Machine Learning/Artificial Intelligence

Motivation: To improve the quality, resolution, and SNR, and reduce scan time by reducing averages for T2* and QSM at 3T

Goal(s): To develop a sEPTI technique that can achieve submillimeter high-quality T2* and QSM quantification in less than 90 seconds.

Approach: We developed: (1) an efficient less-correlated spherical EPTI sampling d; (2) an iterative B0 update pipeline for accurate and high SNR B0 map; (3) eddy-current correction to reduce artifacts; (4) a physics-informed unrolled network to boost the SNR.

Results: sEPTI achieved whole-brain 0.75-mm T2* and QSM quantification within a 90-second scan with the potential for wide clinical applications.

Impact: sEPTI technique was developed with synergetic improvements in sampling, B0 estimation, eddy-current correction, and unrolled-network reconstruction, which achieves whole-brain 0.75-mm distortion-free and blurring-free T2* and QSM quantification at 3T in 90 seconds with the potentials for wide clinical applications.

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Keywords