Abstract #0367

Multi-vendor comparison of three-dimensional multi-parametric mapping of the human brain at 3T: A multi-center study

Shohei Fujita^1,2, Borjan Gagoski^3,4, Ken-Pin Hwang⁵, Marcel Warntjes^6,7, Akifumi Hagiwara¹, Issei Fukunaga¹, Wataru Uchida¹, Yuma Nishimura¹, Tomoya Muroi¹, Toshiya Akatsu¹, Akihiro Kasahara², Ryo Sato², Tsuyoshi Ueyama², Christina Andica¹, Koji Kamagata¹, Shiori Amemiya², Hidemasa Takao², 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, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ⁶SyntheticMR, Linköping, Sweden, ⁷Center for Medical Imaging Science and Visualization (CMIV), Linköping University, Linköping, Sweden

Synopsis

Cross-vendor techniques enabling the pooling of data among different vendors is desired in multi-center projects; however, few mapping techniques have shown compatibility. In this study, we examined the intra-scanner repeatability and inter-vendor reproducibility of quantitative measurements obtained via a multi-parametric mapping technique, 3D-QALAS. Volunteers underwent scan-rescan sessions on four different 3T systems from three MRI vendors (GE, Philips, and Siemens). T1, T2, and PD values and brain tissue volumes of healthy volunteers derived from 3D-QALAS were robust across scanners from different vendors (inter-vendor coefficient of variation=3.3%). The data in this study will inform future technical developments for 3D-QALAS.

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