Super-resolution head and neck MRA using deep machine learning.

Journal: Magnetic resonance in medicine

Published Date: Feb 22, 2021

Abstract

PURPOSE: To probe the feasibility of deep learning-based super-resolution (SR) reconstruction applied to nonenhanced MR angiography (MRA) of the head and neck.

Authors

Ioannis Koktzoglou

Department of Radiology, NorthShore University HealthSystem, Evanston, Illinois.
Rong Huang

School of Nursing, Chuanbei Medical College, Nanchong, China.
William J Ankenbrandt

Department of Radiology, NorthShore University HealthSystem, Evanston, Illinois, USA.
Matthew T Walker

Department of Radiology, NorthShore University HealthSystem, Evanston, Illinois, USA.
Robert R Edelman

Department of Radiology, NorthShore University HealthSystem, Evanston, Illinois.

Keywords

Deep Learning Humans Imaging, Three-Dimensional Machine Learning Magnetic Resonance Angiography Neck

External Resources

View on PubMed Access via DOI PubMed (33619802)

Super-resolution head and neck MRA using deep machine learning.

Abstract

Authors

Keywords

External Resources

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