DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Junyoung | ko |
dc.contributor.author | Han, Yoseob | ko |
dc.contributor.author | Ye, Jong Chul | ko |
dc.date.accessioned | 2021-10-28T22:50:11Z | - |
dc.date.available | 2021-10-28T22:50:11Z | - |
dc.date.created | 2021-10-19 | - |
dc.date.issued | 2020-04 | - |
dc.identifier.citation | IEEE 17th International Symposium on Biomedical Imaging (ISBI), pp.642 - 645 | - |
dc.identifier.issn | 1945-7928 | - |
dc.identifier.uri | http://hdl.handle.net/10203/288423 | - |
dc.description.abstract | For circular trajectory conebeam CT, Feldkamp, Davis, and Kress (FDK) algorithm is widely used for its reconstruction. However, the existence of cone-angle artifacts is fatal for the quality when using this algorithm. There are several model-based iterative reconstruction methods for the cone-angle artifacts removal, but these algorithms usually require repeated applications of computational expensive forward and backward. In this paper, we propose a novel deep learning approach for cone-angle artifact removal on differentiated back-projection domain, which performs a data-driven inversion of an ill-posed deconvolution problem related to the Hilbert transform. The reconstruction results along the coronal and sagittal directions are then combined by a spectral blending technique to minimize the spectral leakage. Experimental results show that our method provides superior performance to the existing | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.title | CONE-ANGLE ARTIFACT REMOVAL USING DIFFERENTIATED BACKPROJECTION DOMAIN DEEP LEARNING | - |
dc.type | Conference | - |
dc.identifier.wosid | 000578080300125 | - |
dc.identifier.scopusid | 2-s2.0-85085856873 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 642 | - |
dc.citation.endingpage | 645 | - |
dc.citation.publicationname | IEEE 17th International Symposium on Biomedical Imaging (ISBI) | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Iowa, IA | - |
dc.identifier.doi | 10.1109/ISBI45749.2020.9098532 | - |
dc.contributor.localauthor | Ye, Jong Chul | - |
dc.contributor.nonIdAuthor | Kim, Junyoung | - |
dc.contributor.nonIdAuthor | Han, Yoseob | - |
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