Deep learning for quality assessment of axial T2-weighted prostate MRI: a tool to reduce unnecessary rescanning

Deep learning for quality assessment of axial T2-weighted prostate MRI: a tool to reduce unnecessary rescanning

Abstract Background T2-weighted images are a critical component of prostate magnetic resonance imaging (MRI), and it would be useful to automatically assess image quality (IQ) on a patient-specific basis without radiologist oversight. Methods This retrospective study comprised 1,412 axial T2-weighte...

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Bibliographic Details
Main Authors: Jacob N. Gloe, Eric A. Borisch, Adam T. Froemming, Akira Kawashima, Jordan D. LeGout, Hirotsugu Nakai, Naoki Takahashi, Stephen J. Riederer
Format: Article
Language:English
Published: SpringerOpen 2025-04-01
Series:European Radiology Experimental
Subjects:
Artificial intelligence
Deep learning
Magnetic resonance imaging
Prostate
Time management
Online Access:https://doi.org/10.1186/s41747-025-00584-z
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