Abstract #0398

Cross-vendor three-dimensional multiparametric mapping of the human brain: A traveling-subject and patient study

Shohei Fujita^1,2, Borjan Gagoski^3,4, Ken-Pin Hwang⁵, Marcel Warntjes^6,7, Kazumasa Yokoyama^8,9, Issei Fukunaga¹, Wataru Uchida¹, Yuya Saito¹, Rina Tachibana¹, Tomoya Muroi¹, Toshiya Akatsu¹, Akihiro Kasahara², Ryo Sato², Tsuyoshi Ueyama², Christina Andica¹, Akifumi Hagiwara¹, Koji Kamagata¹, Shiori Amemiya², Hidemasa Takao², Nobutaka Hattori⁹, Osamu Abe², and Shigeki Aoki¹

¹Department of Radiology, Juntendo University, Tokyo, Japan, ²Department of Radiology, The University of Tokyo, Tokyo, Japan, ³Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States, ⁴Department of Radiology, Harvard Medical School, Boston, MA, United States, ⁵Department of Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, ⁶SyntheticMR, Linköping, Sweden, ⁷Center for Medical Imaging Science and Visualization (CMIV), Linköping University, Linköping, Sweden, ⁸Tousei center for neurological diseases, Shizuoka, Japan, ⁹Department of Neurology, Juntendo University, Tokyo, Japan

Synopsis

Keywords: Quantitative Imaging, Precision & Accuracy, Cross-vendorMultiparametric techniques compatible with multiple vendors to facilitate the pooling of data among different sites and vendors are desired. Here, we developed a vendor-standardized whole-brain multiparametric mapping scheme based on 3D-QALAS. Intra-scanner repeatability and inter-vendor reproducibility were evaluated on test-retest session data on five different 3T systems from four MRI vendors (GE, Philips, Siemens, and Canon). T1 and T2 relaxation times and proton density values derived from 3D-QALAS showed coefficient of variations of <4.0% across scanners from different vendors. Finally, we performed an inter-vendor validation on multiple sclerosis patients to assess the feasibility of the scheme in real-world clinical settings.

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