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Sparsity-constrained three-dimensional image reconstruction for C-arm angiography
http://hdl.handle.net/2241/00142801
http://hdl.handle.net/2241/001428015bf56313-a258-4d6b-8776-228e191e1167
名前 / ファイル | ライセンス | アクション |
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CBM_62 (7.5 MB)
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Item type | Journal Article(1) | |||||
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公開日 | 2016-06-24 | |||||
タイトル | ||||||
タイトル | Sparsity-constrained three-dimensional image reconstruction for C-arm angiography | |||||
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.× al-Shatouri, Mohammad× Kudo, Hiroyuki |
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著者別名 |
工藤, 博幸
× 工藤, 博幸 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 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. | |||||
書誌情報 |
Computers in biology and medicine 巻 62, p. 141-153, 発行日 2015-07 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0010-4825 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA0061348X | |||||
PubMed番号 | ||||||
識別子タイプ | PMID | |||||
関連識別子 | 25932971 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1016/j.compbiomed.2015.04.014 | |||||
権利 | ||||||
権利情報 | © 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/ | |||||
著者版フラグ | ||||||
値 | author | |||||
出版者 | ||||||
出版者 | Elsevier Ltd |