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. |
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| 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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| ISSN: | 2509-9280 |
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| DOI: | 10.1186/s41747-026-00751-w |
