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Brain vessels segmentation for light-sheet microscopy image using convolutional neural networks
Hu, Chaoen1,2; Hui, Hui2; Wang, Shuo2; Dong, Di2; Liu, Xia1; Yang, Xin2; Tian, Jie2
2017-02-13
会议名称SPIE Medical Imaging
会议录名称SPIE Digital Library
会议日期11 - 16 February 2017
会议地点Orlando, Florida United States
摘要

Blood vessel segmentation ia an important step in image analysis for tumor angiogenesis study etc. With the purpose of extracting line structures of blood vessels, some filter-based methods are used to segment vessels. However, the design of accurate and automatic vessel segmentation algorithms is still challenging, due to the variety and complexity of images, especially in brain blood vessel segmentation. In this work, we address a problem of automatic segmentation of brain micro-vessels structures in light-sheet image stacks. To segment micro-vessels in large-scale image data, we propose a method using convolutional neural networks (CNN) as a pixel binary classifer Three convoutonal layers and one fully connected layer are used in th CNN model. We extract a patch of size 32x32 pixels in each acquired brain vessel image stack as trainning data set to feed into CNN for classification. This network is trained to output the probabilty that the center pixel of input patch belong to vessel structures. To build the CNN arhitecture, a series of mouse brain vascular images acquired from a commercial light sheet fluorescence microscopy (LSFM) system were used for training the model. The preliminary experimental results demonstrated that our approach is a promising method for effectively extracted micro-vessels structures in brain images.

关键词Brain Vessel Image Segmentation Convolutional Neural Networks Light-sheet Microscopic Imaging
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12265
专题中国科学院分子影像重点实验室
通讯作者Hui, Hui
作者单位1.Harbin University of Science and Technology
2.Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Hu, Chaoen,Hui, Hui,Wang, Shuo,et al. Brain vessels segmentation for light-sheet microscopy image using convolutional neural networks[C],2017.
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