Abstract #0746

An accurate and efficient infarction segmentation method for diffusion weighted images using a deep convolutional neural network

Hanjing Kong¹, Fei Gao², Wenjian Huang¹, Weihai Xu³, Yining Huang⁴, and Jue Zhang^1,2

¹Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China, ²College of Engineering, Peking University, Beijing, China, ³Department of Neurology, Peking Union Medical College Hospital, Beijing, China, ⁴Department of Neurology, Peking University First Hospital, Beijing, China

Accurate identification of infarcted regions of the brain is critical in management of stroke patients. An efficient and accurate method based on a deep convolutional neural network for segmentation of infarcts in the diffusion-weighted images is proposed.

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