RICT: Rotating image computed tomography with a one-to-one reversible image rotation algorithm.

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Chengxiang Wang, Richard Gordon
{"title":"RICT: Rotating image computed tomography with a one-to-one reversible image rotation algorithm.","authors":"Chengxiang Wang,&nbsp;Richard Gordon","doi":"10.3233/XST-221248","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The Mueller, Siddon and Joseph weighting algorithms are frequently used for projection and back-projection, which are relatively complicated when they are implemented in computer code.</p><p><strong>Objective: </strong>This study aims to reduce the actual complexity of the projection and back-projection.</p><p><strong>Methods: </strong>First, we neglect the exact shape of the pixel, so that its shadow is a rectangle projecting precisely to a detector bin, which implies that all the pixel weights are exactly 1 for each ray through them, otherwise are exactly 0. Next, a one-to-one reversible image rotation algorithm (RIRA) is proposed to compute the projection and back-projection, where two one-to-one mapping lists namely, U and V, are used to store the coordinates of a rotated pixel and its corresponding new coordinates, respectively. For each 2D projection, the projection is simply the column sum in each orientation according to the lists U and V. For each 2D back-projection, it is simply to arrange the projection to the corresponding column element according to the lists U and V. Thus, there is no need for an interpolation in the projection and back-projection. Last, a rotating image computed tomography (RICT) based on RIRA is proposed to reconstruct the image.</p><p><strong>Results: </strong>Experiments show the RICT reconstructs a good image that is close to the result of filtered back-projection (FBP) method according to the RMSE, PSNR and MSSIM values. What's more, our weight, projection and back-projection are much easier to be implemented in computer code than the FBP method.</p><p><strong>Conclusion: </strong>This study demonstrates that the RIRA method has potential to be used to simplify many computed tomography image reconstruction algorithms.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3233/XST-221248","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The Mueller, Siddon and Joseph weighting algorithms are frequently used for projection and back-projection, which are relatively complicated when they are implemented in computer code.

Objective: This study aims to reduce the actual complexity of the projection and back-projection.

Methods: First, we neglect the exact shape of the pixel, so that its shadow is a rectangle projecting precisely to a detector bin, which implies that all the pixel weights are exactly 1 for each ray through them, otherwise are exactly 0. Next, a one-to-one reversible image rotation algorithm (RIRA) is proposed to compute the projection and back-projection, where two one-to-one mapping lists namely, U and V, are used to store the coordinates of a rotated pixel and its corresponding new coordinates, respectively. For each 2D projection, the projection is simply the column sum in each orientation according to the lists U and V. For each 2D back-projection, it is simply to arrange the projection to the corresponding column element according to the lists U and V. Thus, there is no need for an interpolation in the projection and back-projection. Last, a rotating image computed tomography (RICT) based on RIRA is proposed to reconstruct the image.

Results: Experiments show the RICT reconstructs a good image that is close to the result of filtered back-projection (FBP) method according to the RMSE, PSNR and MSSIM values. What's more, our weight, projection and back-projection are much easier to be implemented in computer code than the FBP method.

Conclusion: This study demonstrates that the RIRA method has potential to be used to simplify many computed tomography image reconstruction algorithms.

RICT:一种一对一可逆图像旋转算法的旋转图像计算机断层扫描。
背景:Mueller, Siddon和Joseph加权算法经常用于投影和反投影,这些算法在计算机代码中实现时相对复杂。目的:本研究旨在降低投影和反投影的实际复杂性。方法:首先,我们忽略像素的确切形状,因此它的阴影是一个矩形,精确地投射到检测器箱,这意味着所有像素权重对于每条通过它们的光线都是1,否则是0。接下来,提出了一种一对一可逆图像旋转算法(RIRA)来计算投影和反投影,其中使用两个一对一映射列表U和V分别存储旋转后像素的坐标及其对应的新坐标。对于每一个二维投影,其投影就是根据列表U和v在每一个方向上的列和。对于每一个二维反投影,它只是根据列表U和v将投影排列到对应的列元素上。因此,不需要在投影和反投影中进行插值。最后,提出了一种基于RIRA的旋转图像计算机断层扫描(RICT)方法来重建图像。结果:实验结果表明,根据RMSE、PSNR和MSSIM值,RICT重建的图像与滤波后的反投影(FBP)方法的结果接近。更重要的是,我们的权值、投影和反投影比FBP方法更容易在计算机代码中实现。结论:本研究表明,RIRA方法有潜力用于简化许多计算机断层扫描图像重建算法。
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
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
×
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