{"title":"噪声水平对CT数自动测量精度的影响ACR CT线性和计算幻象。","authors":"Choirul Anam, Riska Amilia, Ariij Naufal, Heri Sutanto, Yanurita Dwihapsari, Toshioh Fujibuchi, Geoff Dougherty","doi":"10.31661/jbpe.v0i0.2302-1599","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Methods for segmentation, i.e., Full-segmentation (FS) and Segmentation-rotation (SR), are proposed for maintaining Computed Tomography (CT) number linearity. However, their effectiveness has not yet been tested against noise.</p><p><strong>Objective: </strong>This study aimed to evaluate the influence of noise on the accuracy of CT number linearity of the FS and SR methods on American College of Radiology (ACR) CT and computational phantoms.</p><p><strong>Material and methods: </strong>This experimental study utilized two phantoms, ACR CT and computational phantoms. An ACR CT phantom was scanned by a 128-slice CT scanner with various tube currents from 80 to 200 mA to acquire various noises, with other constant parameters. The computational phantom was added by different Gaussian noises between 20 and 120 Hounsfield Units (HU). The CT number linearity was measured by the FS and SR methods, and the accuracy of CT number linearity was computed on two phantoms.</p><p><strong>Results: </strong>The two methods successfully segmented both phantoms at low noise, i.e., less than 60 HU. However, segmentation and measurement of CT number linearity are not accurate on a computational phantom using the FS method for more than 60-HU noise. The SR method is still accurate up to 120 HU of noise.</p><p><strong>Conclusion: </strong>The SR method outperformed the FS method to measure the CT number linearity due to its endurance in extreme noise.</p>","PeriodicalId":38035,"journal":{"name":"Journal of Biomedical Physics and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a4/3c/JBPE-13-353.PMC10440409.pdf","citationCount":"1","resultStr":"{\"title\":\"Impact of Noise Level on the Accuracy of Automated Measurement of CT Number Linearity on ACR CT and Computational Phantoms.\",\"authors\":\"Choirul Anam, Riska Amilia, Ariij Naufal, Heri Sutanto, Yanurita Dwihapsari, Toshioh Fujibuchi, Geoff Dougherty\",\"doi\":\"10.31661/jbpe.v0i0.2302-1599\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Methods for segmentation, i.e., Full-segmentation (FS) and Segmentation-rotation (SR), are proposed for maintaining Computed Tomography (CT) number linearity. However, their effectiveness has not yet been tested against noise.</p><p><strong>Objective: </strong>This study aimed to evaluate the influence of noise on the accuracy of CT number linearity of the FS and SR methods on American College of Radiology (ACR) CT and computational phantoms.</p><p><strong>Material and methods: </strong>This experimental study utilized two phantoms, ACR CT and computational phantoms. An ACR CT phantom was scanned by a 128-slice CT scanner with various tube currents from 80 to 200 mA to acquire various noises, with other constant parameters. The computational phantom was added by different Gaussian noises between 20 and 120 Hounsfield Units (HU). The CT number linearity was measured by the FS and SR methods, and the accuracy of CT number linearity was computed on two phantoms.</p><p><strong>Results: </strong>The two methods successfully segmented both phantoms at low noise, i.e., less than 60 HU. However, segmentation and measurement of CT number linearity are not accurate on a computational phantom using the FS method for more than 60-HU noise. The SR method is still accurate up to 120 HU of noise.</p><p><strong>Conclusion: </strong>The SR method outperformed the FS method to measure the CT number linearity due to its endurance in extreme noise.</p>\",\"PeriodicalId\":38035,\"journal\":{\"name\":\"Journal of Biomedical Physics and Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a4/3c/JBPE-13-353.PMC10440409.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Biomedical Physics and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31661/jbpe.v0i0.2302-1599\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biomedical Physics and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31661/jbpe.v0i0.2302-1599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 1
摘要
背景:为了保持计算机断层扫描(CT)数据的线性，提出了分割方法，即全分割(FS)和旋转分割(SR)。然而，它们的有效性还没有经过噪音测试。目的:评价噪声对美国放射学会(American College of Radiology, ACR) CT的FS和SR方法的CT数线性精度及计算幻象的影响。材料和方法:本实验研究采用ACR CT和计算模型两种模型。采用128层CT扫描，在80 ~ 200 mA的不同管电流下对ACR CT体进行扫描，获得不同的噪声，其他参数不变。在20 ~ 120个霍斯菲尔德单位(Hounsfield Units, HU)之间加入不同的高斯噪声，形成计算虚影。采用FS法和SR法测定CT数线性度，并在两个模型上计算CT数线性度的精度。结果:两种方法均能在低噪声(小于60 HU)条件下成功分割出两种幻像。然而，对于大于60 hu的噪声，使用FS方法在计算体上分割和测量CT数线性度并不准确。在120 HU的噪声下，SR方法仍然是准确的。结论:SR法在极端噪声条件下具有较强的耐受性，在测量CT数线性度方面优于FS法。
Impact of Noise Level on the Accuracy of Automated Measurement of CT Number Linearity on ACR CT and Computational Phantoms.
Background: Methods for segmentation, i.e., Full-segmentation (FS) and Segmentation-rotation (SR), are proposed for maintaining Computed Tomography (CT) number linearity. However, their effectiveness has not yet been tested against noise.
Objective: This study aimed to evaluate the influence of noise on the accuracy of CT number linearity of the FS and SR methods on American College of Radiology (ACR) CT and computational phantoms.
Material and methods: This experimental study utilized two phantoms, ACR CT and computational phantoms. An ACR CT phantom was scanned by a 128-slice CT scanner with various tube currents from 80 to 200 mA to acquire various noises, with other constant parameters. The computational phantom was added by different Gaussian noises between 20 and 120 Hounsfield Units (HU). The CT number linearity was measured by the FS and SR methods, and the accuracy of CT number linearity was computed on two phantoms.
Results: The two methods successfully segmented both phantoms at low noise, i.e., less than 60 HU. However, segmentation and measurement of CT number linearity are not accurate on a computational phantom using the FS method for more than 60-HU noise. The SR method is still accurate up to 120 HU of noise.
Conclusion: The SR method outperformed the FS method to measure the CT number linearity due to its endurance in extreme noise.
期刊介绍：
The Journal of Biomedical Physics and Engineering (JBPE) is a bimonthly peer-reviewed English-language journal that publishes high-quality basic sciences and clinical research (experimental or theoretical) broadly concerned with the relationship of physics to medicine and engineering.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
