Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이레나 | * |
dc.date.accessioned | 2019-01-28T16:30:05Z | - |
dc.date.available | 2019-01-28T16:30:05Z | - |
dc.date.issued | 2019 | * |
dc.identifier.issn | 1932-6203 | * |
dc.identifier.other | OAK-24267 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/248296 | - |
dc.description.abstract | In this study, we investigate the feasibility of improving the imaging quality for low-dose multislice helical computed tomography (CT) via iterative reconstruction with tensor framelet (TF) regularization. TF based algorithm is a high-order generalization of isotropic total variation regularization. It is implemented on a GPU platform for a fast parallel algorithm of X-ray forward band backward projections, with the flying focal spot into account. The solution algorithm for image reconstruction is based on the alternating direction method of multipliers or the so-called split Bregman method. The proposed method is validated using the experimental data from a Siemens SOMATOM Definition 64-slice helical CT scanner, in comparison with FDK, the Katsevich and the total variation (TV) algorithm. To test the algorithm performance with low-dose data, ACR and Rando phantoms were scanned with different dosages and the data was equally undersampled with various factors. The proposed method is robust for the low-dose data with 25% undersampling factor. Quantitative metrics have demonstrated that the proposed algorithm achieves superior results over other existing methods. | * |
dc.language | English | * |
dc.publisher | PUBLIC LIBRARY SCIENCE | * |
dc.title | Tensor framelet based iterative image reconstruction algorithm for low-dose multislice helical CT | * |
dc.type | Article | * |
dc.relation.issue | 1 | * |
dc.relation.volume | 14 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.journaltitle | PLOS ONE | * |
dc.identifier.doi | 10.1371/journal.pone.0210410 | * |
dc.identifier.wosid | WOS:000455485100023 | * |
dc.identifier.scopusid | 2-s2.0-85059800148 | * |
dc.author.google | Nam, Haewon | * |
dc.author.google | Guo, Minghao | * |
dc.author.google | Yu, Hengyong | * |
dc.author.google | Lee, Keumsil | * |
dc.author.google | Li, Ruijiang | * |
dc.author.google | Han, Bin | * |
dc.author.google | Xing, Lei | * |
dc.author.google | Lee, Rena | * |
dc.author.google | Gao, Hao | * |
dc.contributor.scopusid | 이레나(8694612100) | * |
dc.date.modifydate | 20240419140415 | * |