Quantification of Right and Left Ventricular Function in Cardiac MR Imaging: Comparison of Semiautomatic and Manual Segmentation Algorithms
Author:
Publisher
MDPI AG
Subject
Clinical Biochemistry
Link
http://www.mdpi.com/2075-4418/3/2/271/pdf
Reference31 articles.
1. Comparison of left ventricular function assessment using phonocardiogram- and electrocardiogram-triggered 2D SSFP CINE MR imaging at 1.5 T and 3.0 T
2. Automated myocardial edge detection from breath-hold cine-MR images: Evaluation of left ventricular volumes and mass
3. Cuantificación de la función y masa ventricular con secuencias SSFP en tiempo real y respiración libre
4. Assessment of global left ventricular functional parameters: analysis of every second short-axis Magnetic Resonance Imaging slices is as accurate as analysis of consecutive slices
5. Assessment of left ventricular function by breath-hold cine MR imaging: Comparison of different steady-state free precession sequences
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1. A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images;COMPUT MED IMAG GRAP;2020
2. Initial Point Prediction Based Parametric Active Contour Model for Left Ventricle Segmentation of CMRI Images;Proceedings of International Joint Conference on Computational Intelligence;2019-07-04
3. Sketch-based Registration of 3D Cine MRI to 4D flow MRI;Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology;2019-05-29
4. Normal Left and Right Ventricular Volume and Function;Contemporary Cardiology;2019
5. Segmentation of Short Axis CMR Images Using Hybrid Method;Current Medical Imaging Reviews;2018-05-08
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