{"title":"基于AAPM - TG 233的CT图像质量评价的自动任务传递函数测量。","authors":"Choirul Anam, Riska Amilia, Ariij Naufal, Eko Hidayanto, Heri Sutanto, Lukmanda E Lubis, Toshioh Fujibuchi, Geoff Dougherty","doi":"10.3390/jimaging11080277","DOIUrl":null,"url":null,"abstract":"<p><p>This study aims to develop and validate software for the automatic measurement of the task-transfer function (TTF) based on the American Association of Physicists in Medicine (AAPM) Task Group (TG) 233. The software consists of two main stages: automatic placement of the region of interest (ROI) within circular objects of the phantoms and calculating the TTF. The software was developed on four CT phantom types: computational phantom, ACR 464 CT phantom, AAPM CT phantom, and Catphan<sup>®</sup> 604 phantom. Each phantom was tested with varying parameters, including spatial resolution level, slice thickness, and image reconstruction technique. The results of TTF were compared with manual measurements performed using ImQuest version 7.3.01 and iQmetix-CT version v1.2. The software successfully located ROIs at all circular objects within each phantom and measured accurate TTF with various contrast-to-noise ratios (CNRs) of all phantoms. The TTF results were comparable to those obtained with ImQuest and iQmetrix-CT. It was found that the TTF curves produced by the software are smoother than those produced by ImQuest. An algorithm for the automated measurement of TTF was successfully developed and validated. TTF measurement with our software is highly user-friendly, requiring only a single click from the user.</p>","PeriodicalId":37035,"journal":{"name":"Journal of Imaging","volume":"11 8","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12387721/pdf/","citationCount":"0","resultStr":"{\"title\":\"Automated Task-Transfer Function Measurement for CT Image Quality Assessment Based on AAPM TG 233.\",\"authors\":\"Choirul Anam, Riska Amilia, Ariij Naufal, Eko Hidayanto, Heri Sutanto, Lukmanda E Lubis, Toshioh Fujibuchi, Geoff Dougherty\",\"doi\":\"10.3390/jimaging11080277\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study aims to develop and validate software for the automatic measurement of the task-transfer function (TTF) based on the American Association of Physicists in Medicine (AAPM) Task Group (TG) 233. The software consists of two main stages: automatic placement of the region of interest (ROI) within circular objects of the phantoms and calculating the TTF. The software was developed on four CT phantom types: computational phantom, ACR 464 CT phantom, AAPM CT phantom, and Catphan<sup>®</sup> 604 phantom. Each phantom was tested with varying parameters, including spatial resolution level, slice thickness, and image reconstruction technique. The results of TTF were compared with manual measurements performed using ImQuest version 7.3.01 and iQmetix-CT version v1.2. The software successfully located ROIs at all circular objects within each phantom and measured accurate TTF with various contrast-to-noise ratios (CNRs) of all phantoms. The TTF results were comparable to those obtained with ImQuest and iQmetrix-CT. It was found that the TTF curves produced by the software are smoother than those produced by ImQuest. An algorithm for the automated measurement of TTF was successfully developed and validated. TTF measurement with our software is highly user-friendly, requiring only a single click from the user.</p>\",\"PeriodicalId\":37035,\"journal\":{\"name\":\"Journal of Imaging\",\"volume\":\"11 8\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12387721/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/jimaging11080277\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/jimaging11080277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
本研究旨在开发和验证基于美国医学物理学家协会(AAPM)任务组(TG) 233的任务传递函数(TTF)自动测量软件。该软件包括两个主要阶段:自动放置感兴趣的区域(ROI)内的圆形对象的幻影和计算TTF。该软件针对四种CT幻像类型开发:computational幻像、ACR 464 CT幻像、AAPM CT幻像和Catphan®604幻像。每个幻影都用不同的参数进行测试,包括空间分辨率水平、切片厚度和图像重建技术。TTF结果与使用ImQuest version 7.3.01和iqmeix - ct version v1.2进行的人工测量进行比较。该软件成功地定位了每个幻影中所有圆形物体的roi,并测量了所有幻影的各种对比度-噪声比(CNRs)的精确TTF。TTF结果与使用ImQuest和iQmetrix-CT获得的结果相当。结果表明,该软件生成的TTF曲线比ImQuest生成的TTF曲线更平滑。成功开发并验证了TTF自动测量算法。TTF测量与我们的软件是高度用户友好的,只需要从用户点击一次。
Automated Task-Transfer Function Measurement for CT Image Quality Assessment Based on AAPM TG 233.
This study aims to develop and validate software for the automatic measurement of the task-transfer function (TTF) based on the American Association of Physicists in Medicine (AAPM) Task Group (TG) 233. The software consists of two main stages: automatic placement of the region of interest (ROI) within circular objects of the phantoms and calculating the TTF. The software was developed on four CT phantom types: computational phantom, ACR 464 CT phantom, AAPM CT phantom, and Catphan® 604 phantom. Each phantom was tested with varying parameters, including spatial resolution level, slice thickness, and image reconstruction technique. The results of TTF were compared with manual measurements performed using ImQuest version 7.3.01 and iQmetix-CT version v1.2. The software successfully located ROIs at all circular objects within each phantom and measured accurate TTF with various contrast-to-noise ratios (CNRs) of all phantoms. The TTF results were comparable to those obtained with ImQuest and iQmetrix-CT. It was found that the TTF curves produced by the software are smoother than those produced by ImQuest. An algorithm for the automated measurement of TTF was successfully developed and validated. TTF measurement with our software is highly user-friendly, requiring only a single click from the user.