{"created":"2021-03-01T07:17:30.913048+00:00","id":38344,"links":{},"metadata":{"_buckets":{"deposit":"3eb95e6d-f481-4bd9-b8bf-f4a316ab0896"},"_deposit":{"id":"38344","owners":[],"pid":{"revision_id":0,"type":"depid","value":"38344"},"status":"published"},"_oai":{"id":"oai:tsukuba.repo.nii.ac.jp:00038344","sets":["152:825","3:62:5298:5247"]},"item_5_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2015-07","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"153","bibliographicPageStart":"141","bibliographicVolumeNumber":"62","bibliographic_titles":[{"bibliographic_title":"Computers in biology and medicine"}]}]},"item_5_creator_3":{"attribute_name":"著者別名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"工藤, 博幸"}],"nameIdentifiers":[{},{},{}]}]},"item_5_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"X-ray C-arm is an important imaging tool in interventional radiology, road-mapping and radiation therapy because it provides accurate descriptions of vascular anatomy and therapeutic end point. In common interventional radiology, the C-arm scanner produces a set of two-dimensional (2D) X-ray projection data obtained with a detector by rotating the scanner gantry around the patient. Unlike conventional fluoroscopic imaging, three-dimensional (3D) C-arm computed tomography (CT) provides more accurate cross-sectional images, which are helpful for therapy planning, guidance and evaluation in interventional radiology. However, 3D vascular imaging using the conventional C-arm fluoroscopy encounters some geometry challenges. Inspired by the theory of compressed sensing, we developed an image reconstruction algorithm for conventional angiography C-arm scanners. The main challenge in this image reconstruction problem is the projection data limitations. We consider a small number of views acquired from a short rotation orbit with offset scan geometry. The proposed method, called sparsity-constrained angiography (SCAN), is developed using the alternating direction method of multipliers, and the results obtained from simulated and real data are encouraging. SCAN algorithm provides a framework to generate 3D vascular images using the conventional C-arm scanners in lower cost than conventional 3D imaging scanners.","subitem_description_type":"Abstract"}]},"item_5_publisher_27":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Elsevier Ltd"}]},"item_5_relation_10":{"attribute_name":"PubMed番号","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"25932971","subitem_relation_type_select":"PMID"}}]},"item_5_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":" 10.1016/j.compbiomed.2015.04.014","subitem_relation_type_select":"DOI"}}]},"item_5_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ "}]},"item_5_select_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"author"}]},"item_5_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0010-4825","subitem_source_identifier_type":"ISSN"}]},"item_5_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA0061348X","subitem_source_identifier_type":"NCID"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Rashed, Essam A. "}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"al-Shatouri,  Mohammad "}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kudo,  Hiroyuki"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2016-08-01"}],"displaytype":"detail","filename":"CBM_62.pdf","filesize":[{"value":"7.5 MB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"label":"CBM_62","url":"https://tsukuba.repo.nii.ac.jp/record/38344/files/CBM_62.pdf"},"version_id":"bac4c9a6-f306-40f3-929c-edde79b7f6d9"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Sparsity-constrained three-dimensional image reconstruction for C-arm angiography","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Sparsity-constrained three-dimensional image reconstruction for C-arm angiography"}]},"item_type_id":"5","owner":"1","path":["825","5247"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-06-24"},"publish_date":"2016-06-24","publish_status":"0","recid":"38344","relation_version_is_last":true,"title":["Sparsity-constrained three-dimensional image reconstruction for C-arm angiography"],"weko_creator_id":"1","weko_shared_id":5},"updated":"2022-04-27T09:08:07.526659+00:00"}