Buxin Chen, Yan Liu, Zheng Zhang, Zhou Yu, Richard A. Thompson, E. Sidky, Xiaochuan Pan
{"title":"Investigation of non-negativity constraint on basis images in half-rotation data reconstruction in spectral CT","authors":"Buxin Chen, Yan Liu, Zheng Zhang, Zhou Yu, Richard A. Thompson, E. Sidky, Xiaochuan Pan","doi":"10.1109/NSSMIC.2016.8069484","DOIUrl":null,"url":null,"abstract":"In conventional computed tomography (CT) reconstruction, a non-negativity constraint on the image values is often included. Such constraint reduces the feasible set in a constrained optimization problem and often results in faster search. In basis-material-based spectral CT reconstruction, the physical grounding for the non-negativity constraint of basis image values is no longer present. It is either not used [1] or relaxed to allow only small-magnitude negative values [2]. However, such constraint can still be applied as part of the decomposition model [3] and to reduce the feasible set and search space. We have developed an optimizationbased reconstruction method that integrates decomposition into reconstruction and allows for flexible spectral data acquisition [4], [5]. The non-negativity constraint was included in the previous reconstructions as it was part of the decomposition model for the phantom used. As we recently applied the method to half-plus-half rotation scans with a dual energy phantom containing iodine and calcium inserts, streak artifacts appeared in the images surrounding calcium inserts which also showed HU value biases. This has led us to re-evaluate the need for the non-negativity constraint in this particular problem and investigate its impact on the reconstruction in terms of visual comparison and bias evaluation.","PeriodicalId":184587,"journal":{"name":"2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.2016.8069484","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In conventional computed tomography (CT) reconstruction, a non-negativity constraint on the image values is often included. Such constraint reduces the feasible set in a constrained optimization problem and often results in faster search. In basis-material-based spectral CT reconstruction, the physical grounding for the non-negativity constraint of basis image values is no longer present. It is either not used [1] or relaxed to allow only small-magnitude negative values [2]. However, such constraint can still be applied as part of the decomposition model [3] and to reduce the feasible set and search space. We have developed an optimizationbased reconstruction method that integrates decomposition into reconstruction and allows for flexible spectral data acquisition [4], [5]. The non-negativity constraint was included in the previous reconstructions as it was part of the decomposition model for the phantom used. As we recently applied the method to half-plus-half rotation scans with a dual energy phantom containing iodine and calcium inserts, streak artifacts appeared in the images surrounding calcium inserts which also showed HU value biases. This has led us to re-evaluate the need for the non-negativity constraint in this particular problem and investigate its impact on the reconstruction in terms of visual comparison and bias evaluation.