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Fundamental study on improving the quality of X-ray fluorescence computed tomography images by applying deep image prior to projection images as a pre-denoising method.

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Title: Fundamental study on improving the quality of X-ray fluorescence computed tomography images by applying deep image prior to projection images as a pre-denoising method.
Authors: Kusakari S; Graduate School of Science and Technology, Hirosaki University, Hirosaki, Japan., Sato K; Graduate School of Science and Technology, Hirosaki University, Hirosaki, Japan., Tsushima Y; Graduate School of Science and Technology, Hirosaki University, Hirosaki, Japan., Matsuoka M; Graduate School of Science and Engineering, Yamagata University, Yonezawa, Japan., Sasaya T; Graduate School of Science and Engineering, Yamagata University, Yonezawa, Japan., Sunaguchi N; Department of Radiological and Medical Laboratory Science, Nagoya University Graduate School of Medicine, Nagoya, Japan., Matsubara K; Department of Management Science and Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, Yurihonjo, Japan., Kawashima H; Radioisotope Research Center, Kyoto Pharmaceutical University, Kyoto, Japan., Hyodo K; High Energy Accelerator Research Organization, Tsukuba, Japan., Yuasa T; Graduate School of Science and Engineering, Yamagata University, Yonezawa, Japan., Zeniya T; Graduate School of Science and Technology, Hirosaki University, Hirosaki, Japan. zeniya@hirosaki-u.ac.jp.
Source: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2025 Apr; Vol. 20 (4), pp. 665-676. Date of Electronic Publication: 2024 Dec 29.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429 (Electronic) Linking ISSN: 18616410 NLM ISO Abbreviation: Int J Comput Assist Radiol Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Fundamental study on improving the quality of X-ray fluorescence computed tomography images by applying deep image prior to projection images as a pre-denoising method.
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  Data: <searchLink fieldCode="AU" term="%22Kusakari+S%22">Kusakari S</searchLink>; Graduate School of Science and Technology, Hirosaki University, Hirosaki, Japan.<br /><searchLink fieldCode="AU" term="%22Sato+K%22">Sato K</searchLink>; Graduate School of Science and Technology, Hirosaki University, Hirosaki, Japan.<br /><searchLink fieldCode="AU" term="%22Tsushima+Y%22">Tsushima Y</searchLink>; Graduate School of Science and Technology, Hirosaki University, Hirosaki, Japan.<br /><searchLink fieldCode="AU" term="%22Matsuoka+M%22">Matsuoka M</searchLink>; Graduate School of Science and Engineering, Yamagata University, Yonezawa, Japan.<br /><searchLink fieldCode="AU" term="%22Sasaya+T%22">Sasaya T</searchLink>; Graduate School of Science and Engineering, Yamagata University, Yonezawa, Japan.<br /><searchLink fieldCode="AU" term="%22Sunaguchi+N%22">Sunaguchi N</searchLink>; Department of Radiological and Medical Laboratory Science, Nagoya University Graduate School of Medicine, Nagoya, Japan.<br /><searchLink fieldCode="AU" term="%22Matsubara+K%22">Matsubara K</searchLink>; Department of Management Science and Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, Yurihonjo, Japan.<br /><searchLink fieldCode="AU" term="%22Kawashima+H%22">Kawashima H</searchLink>; Radioisotope Research Center, Kyoto Pharmaceutical University, Kyoto, Japan.<br /><searchLink fieldCode="AU" term="%22Hyodo+K%22">Hyodo K</searchLink>; High Energy Accelerator Research Organization, Tsukuba, Japan.<br /><searchLink fieldCode="AU" term="%22Yuasa+T%22">Yuasa T</searchLink>; Graduate School of Science and Engineering, Yamagata University, Yonezawa, Japan.<br /><searchLink fieldCode="AU" term="%22Zeniya+T%22">Zeniya T</searchLink>; Graduate School of Science and Technology, Hirosaki University, Hirosaki, Japan. zeniya@hirosaki-u.ac.jp.
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  Data: <searchLink fieldCode="JN" term="%22101499225%22">International journal of computer assisted radiology and surgery</searchLink> [Int J Comput Assist Radiol Surg] 2025 Apr; Vol. 20 (4), pp. 665-676. <i>Date of Electronic Publication: </i>2024 Dec 29.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101499225 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1861-6429 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218616410%22">18616410 </searchLink><i>NLM ISO Abbreviation: </i>Int J Comput Assist Radiol Surg <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s11548-024-03307-8
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        Text: English
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              Text: 2025 Apr
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