Editorial for “Deep Learning k‐Space‐to‐Image Reconstruction Facilitates High Spatial Resolution and Scan Time Reduction in Diffusion‐Weighted Imaging Breast MRI”
Author:
Affiliation:
1. Department of Radiology Albert Einstein College of Medicine and Montefiore Medical Center Bronx New York USA
Publisher
Wiley
Subject
Radiology, Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.29159
Reference7 articles.
1. Multiparametric MRI of the breast: A review
2. Role of diffusion weighted imaging and magnetic resonance spectroscopy in breast cancer patients with indeterminate dynamic contrast enhanced magnetic resonance imaging findings
3. High Signal Intensity in the Dentate Nucleus and Globus Pallidus on Unenhanced T1-weighted MR Images: Relationship with Increasing Cumulative Dose of a Gadolinium-based Contrast Material
4. Clinical feasibility of deep learning reconstruction in liver diffusion-weighted imaging: Improvement of image quality and impact on apparent diffusion coefficient value
5. Deep Learning Reconstruction of Diffusion-weighted MRI Improves Image Quality for Prostatic Imaging
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