Jared W Moore, Harrison H Barrett, Lars R Furenlid
{"title":"Adaptive CT for High-Resolution, Controlled-Dose, Region-of-Interest Imaging.","authors":"Jared W Moore, Harrison H Barrett, Lars R Furenlid","doi":"10.1109/NSSMIC.2009.5402313","DOIUrl":null,"url":null,"abstract":"<p><p>We have developed a flexible x-ray micro-CT system, named FaCT, capable of changing its geometric configuration and acquisition protocol in order to best suit an object being imaged for a particular diagnostic task. High-performance computing technologies have been a major enabling factor for this adaptive CT system in terms of system control, fast reconstruction, and data analysis. In this work, we demonstrate an adaptive procedure in which a quick, sparse-projection pre-scan is performed, the data are reconstructed, and a region of interest is identified. Next, a diagnostic-quality scan is performed where, given the region of interest, the control computer calculates an illumination window for on-line control of an x-ray source masking aperture to transmit radiation only through the region of interest throughout the scan trajectory. Finally, the diagnostic scan data are reconstructed, with the region of interest being clearly resolved. We use a combination of a multi-core CPU and a pair of NVIDIA Tesla GPUs to perform these tasks.</p>","PeriodicalId":73298,"journal":{"name":"IEEE Nuclear Science Symposium conference record. Nuclear Science Symposium","volume":"2009 5402313,","pages":"4154-4157"},"PeriodicalIF":0.0000,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2952940/pdf/nihms-241218.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Nuclear Science Symposium conference record. Nuclear Science Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.2009.5402313","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 have developed a flexible x-ray micro-CT system, named FaCT, capable of changing its geometric configuration and acquisition protocol in order to best suit an object being imaged for a particular diagnostic task. High-performance computing technologies have been a major enabling factor for this adaptive CT system in terms of system control, fast reconstruction, and data analysis. In this work, we demonstrate an adaptive procedure in which a quick, sparse-projection pre-scan is performed, the data are reconstructed, and a region of interest is identified. Next, a diagnostic-quality scan is performed where, given the region of interest, the control computer calculates an illumination window for on-line control of an x-ray source masking aperture to transmit radiation only through the region of interest throughout the scan trajectory. Finally, the diagnostic scan data are reconstructed, with the region of interest being clearly resolved. We use a combination of a multi-core CPU and a pair of NVIDIA Tesla GPUs to perform these tasks.
我们开发了一种灵活的x射线微型ct系统,名为FaCT,能够改变其几何结构和采集协议,以便最适合特定诊断任务的成像对象。高性能计算技术是自适应CT系统在系统控制、快速重建和数据分析方面的主要支持因素。在这项工作中,我们展示了一种自适应过程,其中执行快速,稀疏投影预扫描,重建数据,并确定感兴趣的区域。接下来,执行诊断质量的扫描,给定感兴趣的区域,控制计算机计算用于在线控制x射线源屏蔽孔径的照明窗口,以便在整个扫描轨迹中仅通过感兴趣的区域传输辐射。最后,对诊断扫描数据进行重构,清晰地分辨出感兴趣的区域。我们使用多核CPU和一对NVIDIA Tesla gpu的组合来执行这些任务。