Deep learning reconstruction in biparametric prostate MRI: Impact on qualitative and radiomics analyses

Deep learning reconstruction in biparametric prostate MRI: Impact on qualitative and radiomics analyses

Objective: To assess the impact of a commercially available deep learning reconstruction (DLR) algorithm on qualitative and radiomics analyses in prostate MRI. Methods: This single-centre retrospective cohort included 25 consecutive patients who underwent a prostate MRI (1.5 T) in 2022. T2-weighted...

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Bibliographic Details
Main Authors: Jérémy Dana, Evan McNabb, Juan Castro, Ibtisam Al-Qanoobi, Yoshie Omiya, Kenny Ah-Lan, Véronique Fortier, Giovanni Artho, Caroline Reinhold, Simon Gauvin
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Research in Diagnostic and Interventional Imaging
Subjects:
Deep learning reconstruction
Prostate MRI
Qualitative analysis
Radiomics
Online Access:http://www.sciencedirect.com/science/article/pii/S2772652525000055
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