Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Brain vessels segmentation for light-sheet microscopy image using convolutional neural networks | |
Hu, Chaoen1,2![]() ![]() ![]() ![]() ![]() | |
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 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
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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SPIE Hu.pdf(613KB) | 会议论文 | 开放获取 | ODC PDDL | 浏览 下载 | ||
全文.pdf(579KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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