Abstract #0367
Multi-vendor comparison of three-dimensional multi-parametric mapping of the human brain at 3T: A multi-center study
Shohei Fujita1,2, Borjan Gagoski3,4, Ken-Pin Hwang5, Marcel Warntjes6,7, 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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