A VTK-based, CUDA-optimized Non-Parametric Vessel Detection Method

The VTK Journal Pub Date : 2010-01-25 DOI:10.54294/z1w0uu
L. Alpoge, Alark Joshi, D. Scheinost, John A. Onofrey, Xiaoning Qian, X. Papademetris
{"title":"A VTK-based, CUDA-optimized Non-Parametric Vessel Detection Method","authors":"L. Alpoge, Alark Joshi, D. Scheinost, John A. Onofrey, Xiaoning Qian, X. Papademetris","doi":"10.54294/z1w0uu","DOIUrl":null,"url":null,"abstract":"We present a VTK-based implementation of our non-parametric vessel detection method that identifies vascular structures using a polar neighborhood profile. To accelerate the computationally intensive parts of the algorithm, we leverage the hardware capabilities in commodity graphics hardware using Compute Unified Device Architecture (CUDA). We present the results of our performance analysis and provide source code and examples to validate the reproducibility of our results.","PeriodicalId":251524,"journal":{"name":"The VTK Journal","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The VTK Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54294/z1w0uu","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We present a VTK-based implementation of our non-parametric vessel detection method that identifies vascular structures using a polar neighborhood profile. To accelerate the computationally intensive parts of the algorithm, we leverage the hardware capabilities in commodity graphics hardware using Compute Unified Device Architecture (CUDA). We present the results of our performance analysis and provide source code and examples to validate the reproducibility of our results.
基于vtt、cuda优化的非参数血管检测方法
我们提出了一种基于vts的非参数血管检测方法,该方法使用极邻域轮廓来识别血管结构。为了加速算法的计算密集型部分,我们利用了使用计算统一设备架构(CUDA)的商用图形硬件的硬件能力。我们给出了性能分析的结果,并提供了源代码和示例来验证结果的可再现性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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