WEKO3
アイテム
{"_buckets": {"deposit": "5c8c4989-72d8-439b-b17e-91b9ceb1da09"}, "_deposit": {"id": "38333", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "38333"}, "status": "published"}, "_oai": {"id": "oai:tsukuba.repo.nii.ac.jp:00038333", "sets": ["825", "5256"]}, "item_5_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2016-05", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "136", "bibliographicPageStart": "119", "bibliographicVolumeNumber": "128", "bibliographic_titles": [{"bibliographic_title": "Computer methods and programs in biomedicine"}]}]}, "item_5_creator_3": {"attribute_name": "著者別名", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "工藤, 博幸"}], "nameIdentifiers": [{"nameIdentifier": "197", "nameIdentifierScheme": "WEKO"}, {"nameIdentifier": "60221933", "nameIdentifierScheme": "e-Rad", "nameIdentifierURI": "https://nrid.nii.ac.jp/ja/nrid/1000060221933"}, {"nameIdentifier": "0000000957", "nameIdentifierScheme": "筑波大学研究者総覧", "nameIdentifierURI": "http://trios.tsukuba.ac.jp/researcher/0000000957"}]}]}, "item_5_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "In computed tomography (CT), statistical iterative reconstruction (SIR) approaches can produce images of higher quality compared to the conventional analytical methods such as filtered backprojection (FBP) algorithm. Effective noise modeling and possibilities to incorporate priors in the image reconstruction problem are the main advantages that lead to continuous development of SIR methods. Oriented by low-dose CT requirements, several methods are recently developed to obtain a high-quality image reconstruction from down-sampled or noisy projection data. In this paper, a new prior information obtained from probabilistic atlas is proposed for low-dose CT image reconstruction.", "subitem_description_type": "Abstract"}]}, "item_5_publisher_27": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "Elsevier Ireland Ltd"}]}, "item_5_relation_10": {"attribute_name": "PubMed番号", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "27040837", "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.cmpb.2016.02.017", "subitem_relation_type_select": "DOI"}}]}, "item_5_rights_12": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "© 2016. 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": "0169-2607", "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": "AA10513062", "subitem_source_identifier_type": "NCID"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": " Rashed, Essam A."}], "nameIdentifiers": [{"nameIdentifier": "133545", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Kudo, Hiroyuki "}], "nameIdentifiers": [{"nameIdentifier": "133546", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2017-06-01"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "CMPB_128.pdf", "filesize": [{"value": "5.0 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_11", "mimetype": "application/pdf", "size": 5000000.0, "url": {"label": "CMPB_128", "url": "https://tsukuba.repo.nii.ac.jp/record/38333/files/CMPB_128.pdf"}, "version_id": "2aebdd31-a062-4759-bf5c-b731a014880c"}]}, "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": "Probabilistic atlas prior for CT image reconstruction", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Probabilistic atlas prior for CT image reconstruction"}]}, "item_type_id": "5", "owner": "1", "path": ["825", "5256"], "permalink_uri": "http://hdl.handle.net/2241/00142718", "pubdate": {"attribute_name": "公開日", "attribute_value": "2016-06-24"}, "publish_date": "2016-06-24", "publish_status": "0", "recid": "38333", "relation": {}, "relation_version_is_last": true, "title": ["Probabilistic atlas prior for CT image reconstruction"], "weko_shared_id": 5}
Probabilistic atlas prior for CT image reconstruction
http://hdl.handle.net/2241/00142718
http://hdl.handle.net/2241/00142718f47e423c-21a0-4052-aa8f-7f656ec3e694
名前 / ファイル | ライセンス | アクション |
---|---|---|
CMPB_128 (5.0 MB)
|
Item type | Journal Article(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2016-06-24 | |||||
タイトル | ||||||
タイトル | Probabilistic atlas prior for CT image reconstruction | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
Rashed, Essam A.
× Rashed, Essam A.× Kudo, Hiroyuki |
|||||
著者別名 |
工藤, 博幸
× 工藤, 博幸 |
|||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | In computed tomography (CT), statistical iterative reconstruction (SIR) approaches can produce images of higher quality compared to the conventional analytical methods such as filtered backprojection (FBP) algorithm. Effective noise modeling and possibilities to incorporate priors in the image reconstruction problem are the main advantages that lead to continuous development of SIR methods. Oriented by low-dose CT requirements, several methods are recently developed to obtain a high-quality image reconstruction from down-sampled or noisy projection data. In this paper, a new prior information obtained from probabilistic atlas is proposed for low-dose CT image reconstruction. | |||||
書誌情報 |
Computer methods and programs in biomedicine 巻 128, p. 119-136, 発行日 2016-05 |
|||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0169-2607 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA10513062 | |||||
PubMed番号 | ||||||
識別子タイプ | PMID | |||||
関連識別子 | 27040837 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1016/j.cmpb.2016.02.017 | |||||
権利 | ||||||
権利情報 | © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | |||||
著者版フラグ | ||||||
値 | author | |||||
出版者 | ||||||
出版者 | Elsevier Ireland Ltd |