Impact of deep learning image reconstruction on ADC quantification and histogram metrics: a phantom study.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2509-9280 |
|---|---|
| DOI: | 10.1186/s41747-026-00709-y |