Helical dual source cone-beam micro-CT

S. Johnston, G. Johnson, C. Badea
{"title":"Helical dual source cone-beam micro-CT","authors":"S. Johnston, G. Johnson, C. Badea","doi":"10.1109/ISBI.2014.6867838","DOIUrl":null,"url":null,"abstract":"While helical scanning is well established in the clinical arena, most micro-CT scanners use circular cone beam trajectories and approximate reconstructions based on a filtered backprojection (FBP) algorithm. This may be sufficient for some applications, but in studies of larger animals, such as rats, the size of the detector can constrain the field of view and extend scan time. To address this problem, we have designed and implemented helical scanning and reconstruction procedures for an in-house-developed dual source cone-beam micro-CT system. The reconstruction uses a simultaneous algebraic reconstruction technique combined with total variation regularization (SART-TV). We implemented this algorithm on a graphics processing unit (GPU) to reduce run time. The results demonstrate the speed and accuracy of the GPU-based SART-TV algorithm. The helical scan enables the reconstruction of volumes with extended field of view for whole body micro-CT imaging of large rodents.","PeriodicalId":440405,"journal":{"name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","volume":"364 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISBI.2014.6867838","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

While helical scanning is well established in the clinical arena, most micro-CT scanners use circular cone beam trajectories and approximate reconstructions based on a filtered backprojection (FBP) algorithm. This may be sufficient for some applications, but in studies of larger animals, such as rats, the size of the detector can constrain the field of view and extend scan time. To address this problem, we have designed and implemented helical scanning and reconstruction procedures for an in-house-developed dual source cone-beam micro-CT system. The reconstruction uses a simultaneous algebraic reconstruction technique combined with total variation regularization (SART-TV). We implemented this algorithm on a graphics processing unit (GPU) to reduce run time. The results demonstrate the speed and accuracy of the GPU-based SART-TV algorithm. The helical scan enables the reconstruction of volumes with extended field of view for whole body micro-CT imaging of large rodents.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
螺旋双源锥束微型ct
虽然螺旋扫描在临床领域已经很成熟,但大多数微型ct扫描仪使用圆锥形光束轨迹和基于滤波反向投影(FBP)算法的近似重建。这对于某些应用来说可能是足够的,但是在对大动物(如老鼠)的研究中,探测器的尺寸会限制视野并延长扫描时间。为了解决这个问题,我们为自己开发的双源锥束微ct系统设计并实施了螺旋扫描和重建程序。重构采用了结合全变分正则化(SART-TV)的同步代数重构技术。我们在图形处理单元(GPU)上实现该算法以减少运行时间。实验结果证明了基于gpu的SART-TV算法的速度和准确性。螺旋扫描能够重建具有扩展视野的体积,用于大型啮齿动物的全身微ct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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
MRI based attenuation correction for PET/MRI via MRF segmentation and sparse regression estimated CT DTI-DeformIt: Generating ground-truth validation data for diffusion tensor image analysis tasks Functional parcellation of the hippocampus by clustering resting state fMRI signals Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model Topological texture-based method for mass detection in breast ultrasound image
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1