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The impact of a novel deep learning reconstruction algorithm on image quality in ultralow-dose CT: a quantitative phantom study.

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Title: The impact of a novel deep learning reconstruction algorithm on image quality in ultralow-dose CT: a quantitative phantom study.
Authors: Su T; Computed Tomography Business Unit, Neusoft Medical Systems Co., Ltd., Shenyang, China., Jia Y; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang City, China., Shen Y; Computed Tomography Business Unit, Neusoft Medical Systems Co., Ltd., Shenyang, China., Zhang H; Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China. 1033317353@qq.com.
Source: European radiology experimental [Eur Radiol Exp] 2026 Jun 08; Vol. 10 (1). Date of Electronic Publication: 2026 Jun 08.
Publication Type: Journal Article
Journal Info: Publisher: SpringerOpen Country of Publication: England NLM ID: 101721752 Publication Model: Electronic Cited Medium: Internet ISSN: 2509-9280 (Electronic) Linking ISSN: 25099280 NLM ISO Abbreviation: Eur Radiol Exp Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: The impact of a novel deep learning reconstruction algorithm on image quality in ultralow-dose CT: a quantitative phantom study.
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  Data: <searchLink fieldCode="AU" term="%22Su+T%22">Su T</searchLink>; Computed Tomography Business Unit, Neusoft Medical Systems Co., Ltd., Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Jia+Y%22">Jia Y</searchLink>; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang City, China.<br /><searchLink fieldCode="AU" term="%22Shen+Y%22">Shen Y</searchLink>; Computed Tomography Business Unit, Neusoft Medical Systems Co., Ltd., Shenyang, China.<br /><searchLink fieldCode="AU" term="%22Zhang+H%22">Zhang H</searchLink>; Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China. 1033317353@qq.com.
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  Data: <searchLink fieldCode="JN" term="%22101721752%22">European radiology experimental</searchLink> [Eur Radiol Exp] 2026 Jun 08; Vol. 10 (1). <i>Date of Electronic Publication: </i>2026 Jun 08.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SpringerOpen%22">SpringerOpen </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101721752 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2509-9280 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225099280%22">25099280 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol Exp <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s41747-026-00751-w
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      – Code: eng
        Text: English
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      – TitleFull: The impact of a novel deep learning reconstruction algorithm on image quality in ultralow-dose CT: a quantitative phantom study.
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            NameFull: Su T
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            NameFull: Jia Y
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            NameFull: Shen Y
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            – D: 08
              M: 06
              Text: 2026 Jun 08
              Type: published
              Y: 2026
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