Improvement of peripheral nerve visualization using a deep learning-based MR reconstruction algorithm-Reference-Cited by-同舟云学术

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Improvement of peripheral nerve visualization using a deep learning-based MR reconstruction algorithm

Published:2022-01 Issue: Volume:85 Page:186-192
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Zochowski Kelly C.,Tan Ek T.,Argentieri Erin C.,Lin Bin,Burge Alissa J.,Queler Sophie C.,Lebel R. Marc,Sneag Darryl B.

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

Reference19 articles.

1. Peripheral nerve fascicles: anatomy and clinical relevance;Stewart;Muscle Nerve,2003

2. A classification of peripheral nerve injuries producing loss of function;Sunderland;Brain,1951

3. Magnetic resonance neurography: technical considerations;Chhabra;Neuroimaging Clin N Am,2014

4. A review of MR physics: 3T versus 1.5T;Soher;Magn Reson Imaging Clin N Am,2007

5. Signal-to-noise ratio and signal-to-noise efficiency in SMASH imaging;Sodickson;Magn Reson Med,1999

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