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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