Evaluation of a Deep Learning Reconstruction for High-Quality T2-Weighted Breast Magnetic Resonance Imaging

Evaluation of a Deep Learning Reconstruction for High-Quality T2-Weighted Breast Magnetic Resonance Imaging

Deep learning (DL) reconstruction techniques to improve MR image quality are becoming commercially available with the hope that they will be applicable to multiple imaging application sites and acquisition protocols. However, before clinical implementation, these methods must be validated for specif...

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Bibliographic Details
Main Authors: Timothy J. Allen, Leah C. Henze Bancroft, Orhan Unal, Lloyd D. Estkowski, Ty A. Cashen, Frank Korosec, Roberta M. Strigel, Frederick Kelcz, Amy M. Fowler, Alison Gegios, Janice Thai, R. Marc Lebel, James H. Holmes
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Tomography
Subjects:
deep learning
image reconstruction
breast MRI
high resolution
reader study
SNR
Online Access:https://www.mdpi.com/2379-139X/9/5/152

Internet

https://www.mdpi.com/2379-139X/9/5/152

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