Abstract #4348

Cerebrovascular segmentation of mouse TOF-MRA using 3D U-Net

Yue Wu^1,2, Jinyuan Zhang^3,4, Zhixin Li^3,4, Yishuang Yang^3,4, Yan Zhuo^3,4, Xudong Zhao^2,3, and Zihao Zhang^2,3

¹AHU-IAI AI Joint Laboratory, Anhui University, Hefei, China, ²Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China, ³State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, ⁴University of Chinese Academy of Sciences, Beijing, China

Synopsis

Keywords: Machine Learning/Artificial Intelligence, VesselsTime-of-flight MR angiography (TOF-MRA) allows noninvasive visualization of the mouse intracranial vessels. However, there is no available tool for vessel segmentation in mouse 3D TOF-MRA. In this study, we developed an automated vessel segmentation method based on a convolutional neural network and multiscale vessel enhancement filtering algorithm. The method is potentially useful in the preclinical studies of cerebrovascular diseases.

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