0003 / 0003 ISMRM Abstract

Cross-Vendor Multiparametric Mapping of the Human Brain Using 3D-QALAS: A Multicenter & Multivendor Study

0003 · Young Investigator Award Poster Session · Monday, 6 May, 1:45 PM–3:45 PM · Exhibition Hall (Hall 403)

0003 · Young Investigator Awards: Oral Presentations · Monday, 6 May, 8:15 AM–10:15 AM · Summit 2

Keywords: Neuro YIA

Accepted

Shohei Fujita ^1,2,3,4, Borjan Gagoski^4,5, Ken-Pin Hwang⁶, Akifumi Hagiwara¹, Marcel Warntjes^7,8, Issei Fukunaga¹, Wataru Uchida¹, Yuya Saito¹, Towa Sekine¹, Rina Tachibana¹, Tomoya Muroi¹, Toshiya Akatsu¹, Akihiro Kasahara², Ryo Sato², Tsuyoshi Ueyama², Christina Andica^1,9, Koji Kamagata¹, Shiori Amemiya², Hidemasa Takao², Yasunobu Hoshino¹⁰, Yuji Tomizawa¹⁰, Kazumasa Yokoyama¹⁰, Berkin Bilgic^3,4,11, Nobutaka Hattori¹⁰, Osamu Abe², Shigeki Aoki¹

¹Department of Radiology, Juntendo University, Tokyo, Japan

²Department of Radiology, The University of Tokyo, Tokyo, Japan

³Athinoula A. Martinos Center for Biomedical Imaging, Cambridge, United States of America

⁴Department of Radiology, Harvard Medical School, Boston, United States of America

⁵Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, United States of America

⁶Department of Imaging Physics, MD Anderson Cancer Center, Houston, United States of America

⁷SyntheticMR, Linköping, Sweden

⁸Center for Medical Imaging Science and Visualization (CMIV), Linköping University, Linköping, Sweden

⁹Faculty of Health Data Science, Juntendo University, Tokyo, Japan

¹⁰Department of Neurology, Juntendo University, Tokyo, Japan

¹¹Harvard-MIT Division of Health Sciences and Technology, Cambridge, United States of America

Presenting Author: Shohei Fujita

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References

1. Jara H, Sakai O, Farrher E, et al. Primary Multiparametric Quantitative Brain MRI: State-of-the-Art Relaxometric and Proton Density Mapping Techniques. Radiology. 2022;305(1):5-18. doi:10.1148/radiol.211519 2. Ma D, Gulani V, Seiberlich N, et al. Magnetic resonance fingerprinting. Nature. 2013;495(7440):187-192. doi:10.1038/nature11971 3. Wang F, Dong Z, Reese TG, et al. Echo planar time-resolved imaging (EPTI). Magn Reson Med. 2019;81(6):3599-3615. doi:10.1002/mrm.27673 4. Fujita S, Hagiwara A, Hori M, et al. Three-dimensional high-resolution simultaneous quantitative mapping of the whole brain with 3D-QALAS: An accuracy and repeatability study. Magn Reson Imaging. 2019;63:235-243. [doi]

2. Ma S, Nguyen CT, Han F, et al. Three-dimensional simultaneous brain T1 , T2 , and ADC mapping with MR Multitasking. Magn Reson Med. 2020;84(1):72-88. doi:10.1002/mrm.28092 6. Seiberlich N, Gulani V, Campbell-Washburn A et al. Quantitative Magnetic Resonance Imaging, Volume 1 – 1st Edition. [doi]

3. QIBA Concepts. https://qibawiki.rsna.org/index.php/QIBA_Concepts 8. Kvernby S, Warntjes MJ, Haraldsson H, Carlhäll CJ, Engvall J, Ebbers T. J Cardiovasc Magn Reson. 2014 Dec 20;16:102. Simultaneous three-dimensional myocardial T1 and T2 mapping in one breath hold with 3D-QALAS.

4. Fischl B. FreeSurfer. Neuroimage 2012;62:774–781 10. Desikan RS, Segonne F, Fischl B, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 2006;31:968–980.

5. Weingärtner S, Desmond KL, Obuchowski NA, et al. Development, validation, qualification, and dissemination of quantitative MR methods: Overview and recommendations by the ISMRM quantitative MR study group. Magn Reson Med. 2022;87(3):1184-1206.

6. https://seekingalpha.com/article/3405705-fonar-corp-undervalued-niche-player-in-the-world-of-mri-scanners

Cite this abstract

http://echo.ismrm.org/p/ISMRM2024/0003