664-04-005 ISMRM Abstract

Coil-STRAINER: A Subject-Specific ACS-Free k-Space Implicit Neural Representation for Efficient Parallel MRI Reconstruction

Primary: Acquisition & Reconstruction - Image Reconstruction: AI

Secondary: Acquisition & Reconstruction - Subsampling: Parallel imaging, compressed sensing and low-rank modeling

664-04-005 · Image Reconstruction: Self-Supervised and Implicit · Thursday, 14 May, 2:35 PM–3:30 PM · Digital Posters Row E

Keywords: Parallel Imaging Implicit neural representation Self-supervised learning Calibrationless reconstruction K-space reconstruction

Accepted

Siyun Jung ^1,2, Dong-Hyun Kim¹, Chunlei Liu^2,3

¹Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of

²Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States of America

³Helen Wills Neuroscience Institute, University of California, Berkeley, United States of America

Presenting Author: Siyun Jung

Synopsis

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References

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8. Zbontar J, Knoll F, Sriram A, Muckley MJ, Bruno M, Defazio A, Parente M, Geras KJ, Katsnelson J, Chandarana H, Zhang Z, Drozdzal M, Romero A, Rabbat M, Vincent P, Yakubova N, Pinkerton J, Wang D, Owens E, Zitnick CL. fastMRI: an open dataset and benchmarks for accelerated MRI. arXiv preprint arXiv:1811.08839. 2018. https://doi.org/10.48550/arXiv.1811.08839 [doi]

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