Impact of deep learning image reconstruction on ADC quantification and histogram metrics: a phantom study.

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Title: Impact of deep learning image reconstruction on ADC quantification and histogram metrics: a phantom study.
Authors: Marzi S; Medical Physics Laboratory, IRCCS Regina Elena National Cancer Institute, Rome, Italy. simona.marzi@ifo.it., Bruzzaniti V; Medical Physics Laboratory, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Laganaro F; Radiology and Diagnostic Imaging Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Di Giulio G; Radiology and Diagnostic Imaging Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Farella M; Radiology and Diagnostic Imaging Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Tonnetti A; Department of Clinical Engineering and Information Technology, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Terrenato I; Biostatistics and Bioinformatics Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Castellana R; Radiology and Diagnostic Imaging Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Vidiri A; Radiology and Diagnostic Imaging Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Source: European radiology experimental [Eur Radiol Exp] 2026 Apr 13; Vol. 10 (1). Date of Electronic Publication: 2026 Apr 13.
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
DOI:10.1186/s41747-026-00709-y