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Brain Tumor Characterization and Assessment using Automatic Detection of Extracellular pH Change

Yuki Matsumoto¹, Masafumi Harada¹, Yuki Kanazawa¹, Nagomi Fukuda², Syun Kitano², Yo Taniguchi³, Masaharu Ono³, and Yoshitaka Bito³
¹Graduate School of Biomedical Sciences, Tokushima University, Tokushima-city, Japan, ²School of Health Sciences, Tokushima University, Tokushima-city, Japan, ³Healthcare Business Unit, Hitachi, Ltd., Tokyo, Japan

1. The pHe map can identify tumor malignancy from QPM.

2. In addition, deep learning can lead to automated segmentation of contrast-enhanced areas and automatic identification of the tumor characterization.

Fig3. Synthetic T1w post contrast derived from QPM and the pHe maps

Fig2. Mean values of R1subtraction, CM, relaxivity, and pHe