MRI髋关节分割:局部Bhattacharyya加权混合三维水平集方法

Duc Duy Pham, Cosmin Adrian Morariu, Tobias Terheiden, S. Landgräber, Marcus Jäger, J. Pauli
{"title":"MRI髋关节分割:局部Bhattacharyya加权混合三维水平集方法","authors":"Duc Duy Pham, Cosmin Adrian Morariu, Tobias Terheiden, S. Landgräber, Marcus Jäger, J. Pauli","doi":"10.2312/vcbm.20171243","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a novel hybrid level set approach that locally balances the combined use of both Gradient Vector Flow and region based energy cost function by means of the Bhattacharyya coefficient. The local neighborhood of each contour point is naturally divided into an area encapsulated and one excluded by the contour. We propose utilizing the Bhattacharyya coefficient of the intensity distributions of these local areas to determine a point-wise weighting scheme for the curve propagation. The performance of our method regarding segmentation quality is evaluated on the segmentation of the hip joint in 10 MRI data sets. Our proposed method shows a clear improvement compared to conventional 3D level set approaches. CCS Concepts •Computing methodologies → Image segmentation; Image processing; •Applied computing → Imaging;","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"37 1","pages":"113-117"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"MRI Hip Joint Segmentation: A Locally Bhattacharyya Weighted Hybrid 3D Level Set Approach\",\"authors\":\"Duc Duy Pham, Cosmin Adrian Morariu, Tobias Terheiden, S. Landgräber, Marcus Jäger, J. Pauli\",\"doi\":\"10.2312/vcbm.20171243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a novel hybrid level set approach that locally balances the combined use of both Gradient Vector Flow and region based energy cost function by means of the Bhattacharyya coefficient. The local neighborhood of each contour point is naturally divided into an area encapsulated and one excluded by the contour. We propose utilizing the Bhattacharyya coefficient of the intensity distributions of these local areas to determine a point-wise weighting scheme for the curve propagation. The performance of our method regarding segmentation quality is evaluated on the segmentation of the hip joint in 10 MRI data sets. Our proposed method shows a clear improvement compared to conventional 3D level set approaches. CCS Concepts •Computing methodologies → Image segmentation; Image processing; •Applied computing → Imaging;\",\"PeriodicalId\":88872,\"journal\":{\"name\":\"Eurographics Workshop on Visual Computing for Biomedicine\",\"volume\":\"37 1\",\"pages\":\"113-117\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eurographics Workshop on Visual Computing for Biomedicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2312/vcbm.20171243\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurographics Workshop on Visual Computing for Biomedicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2312/vcbm.20171243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

在本文中,我们提出了一种新的混合水平集方法,该方法通过Bhattacharyya系数局部平衡梯度矢量流和基于区域的能量成本函数的组合使用。每个轮廓点的局部邻域自然地被划分为一个被轮廓封装的区域和一个被轮廓排除的区域。我们建议利用这些局部区域强度分布的Bhattacharyya系数来确定曲线传播的逐点加权方案。我们的方法在分割质量方面的性能在10个MRI数据集的髋关节分割上进行了评估。与传统的三维水平集方法相比,我们提出的方法有明显的改进。•计算方法→图像分割;图像处理;•应用计算→成像;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MRI Hip Joint Segmentation: A Locally Bhattacharyya Weighted Hybrid 3D Level Set Approach
In this paper, we propose a novel hybrid level set approach that locally balances the combined use of both Gradient Vector Flow and region based energy cost function by means of the Bhattacharyya coefficient. The local neighborhood of each contour point is naturally divided into an area encapsulated and one excluded by the contour. We propose utilizing the Bhattacharyya coefficient of the intensity distributions of these local areas to determine a point-wise weighting scheme for the curve propagation. The performance of our method regarding segmentation quality is evaluated on the segmentation of the hip joint in 10 MRI data sets. Our proposed method shows a clear improvement compared to conventional 3D level set approaches. CCS Concepts •Computing methodologies → Image segmentation; Image processing; •Applied computing → Imaging;
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信