1Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
2GE HealthCare (Hino, JP), Japan
3Radiology Center, The University of Tokyo Hospital, Tokyo, Japan
4GE HealthCare (Menlo Park, US), Menlo Park, United States of America
Presenting Author: Naoyuki Takei
Synopsis
Motivation:
Goals:
Approach:
Results:
Full abstract & presentation
The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.
Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.
To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.
1. Zhang, Z., X. Deng, D. Weng, J. An, Z. Zuo, B. Wang, N. Wei, J. Zhao, and R. Xue. Segmented TOF at 7 T MRI: Technique and clinical applications. Magnetic Resonance Imaging. 2015;33(9):1043–1050. doi:10.1016/j.mri.2015.07.002. [doi]
2. Lustig, M., D. Donoho, and J.M. Pauly. Sparse MRI: The application of compressed sensing for rapid MR imaging. Magnetic Resonance in Medicine. 2007;58(6):1182–1195. doi:10.1002/mrm.21391. [doi]
3. Ahn, S., U. Wollner, G. McKinnon, I.H. Jansen, R. Brada, D. Rettmann, T.A. Cashen, J. Huston, J.K. DeMarco, R.Y. Shih, J.D. Trzasko, C.J. Hardy, and T.K.F. Foo. Deep learning-based reconstruction of highly accelerated 3D MRI. 2022; doi:10.48550/arXiv.2203.04674. [doi]
4. Lebel, R.M. Performance characterization of a novel deep learning-based MR image reconstruction pipeline. 2020; doi:10.48550/arXiv.2008.06559. [doi]
5. Günther, M., M. Bock, and L.R. Schad. Arterial spin labeling in combination with a look-locker sampling strategy: inflow turbo-sampling EPI-FAIR (ITS-FAIR). Magnetic Resonance in Medicine. 2001;46(5):974–984. doi:10.1002/mrm.1284. [doi]