3062 ISMRM Abstract

BUDA-SAGE with unsupervised denoising enables fast, distortion-free, high-resolution T2, T2*, iron and myelin susceptibility mapping

3062 · Relaxometry in the Brain: High Field & Multiparameter Mapping · Wednesday, 19 May, 5:00 PM–6:00 PM · Concurrent 1

Accepted

Zijing Zhang ^1,2, Long Wang³, Hyeong-Geol Shin⁴, Jaejin Cho², Tae Hyung Kim², Jongho Lee⁴, Jinmin Xu¹, Tao Zhang³, Huafeng Liu¹, Berkin Bilgic²

¹State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China

²Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America

³Subtle Medical Inc, Menlo Park, United States of America

⁴Laboratory for Imaging Science and Technology (LIST), Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of

Presenting Author: Zijing Zhang

Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here.

This content is freely available and no longer restricted to registered attendees. Log in or create a free account to view it.

References

1. Bilgic B, Liao C, Manhard MK, et. al, “Robust high-quality multi-shot EPI with low-rank prior and machine learning”, Magn Reson. Med., 2019.

2. Zahneisen B, Aksoy M, Maclaren J, Wuerslin C, Bammer R, “Extended hybrid-space SENSE for EPI: Off-resonance and eddy current corrected joint interleaved blip-up/down reconstruction”, NeuroImage., 2017;153:97-108.

3. Lehtinen J, Munkberg J, et. al, “Noise2Noise: Learning Image Restoration without Clean Data”, ICML, 2018, 80:2965-2974.

4. Krull A, Buchholz TO, Jug F, “Noise2Void - Learning Denoising From Single Noisy Images”, CVPR, 2019, pp. 2129-2137.

5. Quan Y, Chen M, Pang T, Ji H, “Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image”, CVPR, 2020, pp. 1890-1898.

6. Zhang Z, Liao C, Cho J, et. al, “dSAGE enables distortion-free diffusion, spin and gradient echo imaging in 1 minute”, Magn Reson. Med., 2020.

7. Setsompop K, Gagoski B A, Polimeni J R, et. al, “Blipped‐controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g‐factor penalty”, Magn Reson. Med., 2012;5:1210-1224.

8. Smith, S.M., Jenkinson, M., Woolrich, M.W., Beckmann, C.F., et. al, “Advances in functional and structural MR image analysis and implementation as FSL”, NeuroImage., 2004;23:S208-S219.

9. ecker M, Lai P, Murphy M J, Virtue P, Elad M, Pauly JM, Vasanawala SS, Lustig M, “ESPIRiT-an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA”, Magn. Reson. Med. 2014;71:990-1001.

10. Polak D, Chatnuntawech I, Yoon J, et. al, “Nonlinear dipole inversion (NDI) enables robust quantitative susceptibility mapping (QSM)”, NMR in Biomedicine., 2020;e4271.

11. Lee J, Nam Y, Choi J et. al, “Separating positive and negative susceptibility sources in QSM.”, Magn Reson. Med., 2017.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2021/3062