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Abstract #1277

Interleaved Black- and Bright-Blood Acquisition for Automatic Brain Metastasis Detection using Deep Learning Convolutional Neural Network

Makoto Obara1, Yoshitomo Kikuchi2, Akio Hiwatashi2, Alexander Fischer 3, Yuta Akamine1, Tetsuo Ogino1, Masami Yoneyama1, Ronee Asad1, Yu Ueda1, Jihun Kwon1, and Marc Van Cauteren4
1Philips Japan, Tokyo, Japan, 2Departments of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3Philips GmbH Innovative Technologies, Aachen, Germany, 4Philips Healthcare, Tokyo, Japan

Volume isotropic simultaneous interleaved bright- and black-blood examination (VISIBLE) is an established approach for brain metastasis screening. We investigated the potential of VISIBLE in deep learning model development. The results suggest VISIBLE’s usefulness for automatic metastasis detection.

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