3078 ISMRM Abstract

Joint-CAIPI reconstruction of multi-echo GRASE data for fast, high-resolution myelin water imaging

3078 · Relaxometry in the Brain: Accuracy, Robustness & Analysis · Wednesday, 19 May, 5:00 PM–6:00 PM · Concurrent 1

Accepted

Gian Franco Piredda ^1,2,3, Tom Hilbert^1,2,3, Berkin Bilgic^4,5,6, Erick J Canales-Rodríguez³, Marco Pizzolato^3,7, Reto Meuli², Jean-Philippe Thiran^2,3, Tobi Kober^1,2,3

¹Advanced Clinical Imaging Technology, Lausanne, Switzerland

²Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland

³LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

⁴Athinoula A. Martinos Center for Biomedical Imaging, Cambridge, United States of America

⁵Department of Radiology, Harvard Medical School, Boston, United States of America

⁶Harvard‐MIT Health Sciences and Technology, MIT, Cambridge, United States of America

⁷Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark

Presenting Author: Gian Franco Piredda

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References

1. Abstract 4901. Schmitter D, Roche A, Maréchal B, et al. An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer’s disease. NeuroImage Clin. 2015;7:7-17. doi:10.1016/j.nicl.2014.11.00111. Cristobal-Huerta A, Poot DHJ, Vogel MW, Krestin GP, Hernandez-Tamames JA. Compressed Sensing 3D-GRASE for faster High-Resolution MRI. Magn Reson Med. 2019;82(3):984-999. doi:10.1002/mrm.27789 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2021/3078