Fully automated and robust analysis technique for popliteal artery vessel wall evaluation (FRAPPE) using neural network models from standardized knee MRI-Reference-Cited by-同舟云学术

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Fully automated and robust analysis technique for popliteal artery vessel wall evaluation (FRAPPE) using neural network models from standardized knee MRI

Published:2020-03-11 Issue:4 Volume:84 Page:2147-2160
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn Reson Med

Author:

Chen Li¹^ORCID,Canton Gador²,Liu Wenjin²,Hippe Daniel S.²,Balu Niranjan²,Watase Hiroko²,Hatsukami Thomas S.³,Waterton John C.⁴,Hwang Jenq‐Neng¹,Yuan Chun²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering University of Washington Seattle Washington USA

2. Department of Radiology University of Washington Seattle Washington USA

3. Department of Surgery University of Washington Seattle Washington USA

4. Centre for Imaging Sciences, Manchester Academic Health Science Centre The University of Manchester Manchester United Kingdom

Funder

American Heart Association

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.28237

Reference34 articles.

1. Epidemiology of Atherosclerosis and the Potential to Reduce the Global Burden of Atherothrombotic Disease

2. Mechanisms of Plaque Formation and Rupture

3. Simultaneous noncontrast angiography and intraPlaque hemorrhage (SNAP) imaging for carotid atherosclerotic disease evaluation

4. Diagnostic Accuracy of High-Resolution Black-Blood MRI in the Evaluation of Intracranial Large-Vessel Arterial Occlusions

5. Carotid magnetic resonance imaging for monitoring atherosclerotic plaque progression: a multicenter reproducibility study

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