Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning
Authors
Keywords
-
Journal
MAGNETIC RESONANCE IN MEDICINE
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2020-03-13
DOI
10.1002/mrm.28257
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The Role of Imaging of Flow Patterns by 4D Flow MRI in Aortic Stenosis
- (2019) Julio Garcia et al. JACC-Cardiovascular Imaging
- Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry
- (2018) Berk Norman et al. RADIOLOGY
- Automated multi-atlas segmentation of cardiac 4D flow MRI
- (2018) Mariana Bustamante et al. MEDICAL IMAGE ANALYSIS
- Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection
- (2018) Fang Liu et al. RADIOLOGY
- Fully automatic segmentation on prostate MR images based on cascaded fully convolution network
- (2018) Yi Zhu et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Improved Semiautomated 4D Flow MRI Analysis in the Aorta in Patients With Congenital Aortic Valve Anomalies Versus Tricuspid Aortic Valves
- (2016) Susanne Schnell et al. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY
- Thoracic aortic aneurysm: 4D flow MRI and computational fluid dynamics model
- (2015) F. M. Callaghan et al. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
- Reproducibility and interobserver variability of systolic blood flow velocity and 3D wall shear stress derived from 4D flow MRI in the healthy aorta
- (2015) Pim van Ooij et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- 4D Flow MRI Applications for Aortic Disease
- (2015) Nicholas S. Burris et al. Magnetic Resonance Imaging Clinics of North America
- Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool
- (2015) Abdel Aziz Taha et al. BMC MEDICAL IMAGING
- Influence of eddy current, Maxwell and gradient field corrections on 3D flow visualization of 3D CINE PC-MRI data
- (2013) Ramona Lorenz et al. MAGNETIC RESONANCE IN MEDICINE
- Aortic Regurgitation Quantification Using Cardiovascular Magnetic Resonance
- (2012) Saul G. Myerson et al. CIRCULATION
- Automated segmentation of blood-flow regions in large thoracic arteries using 3D-cine PC-MRI measurements
- (2011) Roy van Pelt et al. International Journal of Computer Assisted Radiology and Surgery
- Automatic segmentation propagation of the aorta in real-time phase contrast MRI using nonrigid registration
- (2010) Freddy Odille et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Automated segmentation of the aorta from phase contrast MR images: Validation against expert tracing in healthy volunteers and in patients with a dilated aorta
- (2010) Alain Herment et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- 4D phase contrast MRI at 3 T: Effect of standard and blood-pool contrast agents on SNR, PC-MRA, and blood flow visualization
- (2009) Jelena Bock et al. MAGNETIC RESONANCE IN MEDICINE
- An image-based modeling framework for patient-specific computational hemodynamics
- (2008) Luca Antiga et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search