Accelerated diffusion-weighted imaging of the prostate using deep learning image reconstruction: A retrospective comparison with standard diffusion-weighted imaging

Author:

Ursprung Stephan,Herrmann Judith,Joos Natalie,Weiland Elisabeth,Benkert Thomas,Almansour Haidara,Lingg Andreas,Afat Saif,Gassenmaier Sebastian

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference21 articles.

1. Cancer statistics, 2022;Siegel;CA: Cancer J. Clin.,2022

2. Prostate MRI, with or without MRI-targeted biopsy, and systematic biopsy for detecting prostate cancer;Drost;Cochrane Database Syst. Rev.,2019

3. J. Weinreb, J. Barentsz, PI-RADS Prostate Imaging-Reporting and Data System, Version 2.1, American College of Radiology, European Society of Urological Radiology and AdMeTech Foundation, 2019.

4. DWI of the prostate: comparison of a faster diagonal acquisition to standard three-scan trace acquisition;Corcuera-Solano;J. Magn. Reson. Imaging,2017

5. MRI temporal acceleration techniques;Tsao;J. Magn. Reson. Imaging,2012

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1. Deep learning-based k-space-to-image reconstruction and super resolution for diffusion-weighted imaging in whole-spine MRI;Magnetic Resonance Imaging;2024-01

2. Picture Perfect: The Status of Image Quality in Prostate MRI;Journal of Magnetic Resonance Imaging;2023-10-07

3. Applications of Deep Learning to Magnetic Resonance Imaging (MRI);2023 International Conference on Computing, Electronics & Communications Engineering (iCCECE);2023-08-14

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