Real‐time cardiovascular MR with spatio‐temporal artifact suppression using deep learning–proof of concept in congenital heart disease-Reference-Cited by-同舟云学术

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Real‐time cardiovascular MR with spatio‐temporal artifact suppression using deep learning–proof of concept in congenital heart disease

Published:2018-09-08 Issue:2 Volume:81 Page:1143-1156
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn Reson Med

Author:

Hauptmann Andreas¹,Arridge Simon¹,Lucka Felix¹²,Muthurangu Vivek³,Steeden Jennifer A.³

Affiliation:

1. Department of Computer Science University College London London United Kingdom

2. Computational Imaging Centrum Wiskunde and Informatica (CWI) Amsterdam Netherlands

3. UCL Centre for Cardiovascular Imaging University College London London United Kingdom

Funder

Royal Society

H2020 LEIT Information and Communication Technologies

Engineering and Physical Sciences Research Council

Stichting voor de Technische Wetenschappen

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.27480

Reference30 articles.

1. Comparison of interstudy reproducibility of cardiovascular magnetic resonance with two-dimensional echocardiography in normal subjects and in patients with heart failure or left ventricular hypertrophy

2. Sparse MRI: The application of compressed sensing for rapid MR imaging

3. Assessment of Left Ventricular Function and Mass on Free-Breathing Compressed Sensing Real-Time Cine Imaging

4. Validation of highly accelerated real‐time cardiac cine MRI with radial k‐space sampling and compressed sensing in patients at 1.5T and 3T

5. A Small Surrogate for the Golden Angle in Time-Resolved Radial MRI Based on Generalized Fibonacci Sequences

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