Endocardium and epicardium segmentation of left ventricle in cardiac magnetic resonance images based on directional Snake model

Ning ZHANG; Xue-fei YU; Guang-wen LU

doi:10.3724/sp.j.1087.2012.01902

Endocardium and epicardium segmentation of left ventricle in cardiac magnetic resonance images based on directional Snake model

Journal of Computer Applications ◽

10.3724/sp.j.1087.2012.01902 ◽

2013 ◽

Vol 32 (6) ◽

pp. 1902-1905

Author(s):

Ning ZHANG ◽

Xue-fei YU ◽

Guang-wen LU

Keyword(s):

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricle ◽

Magnetic Resonance Images ◽

Snake Model

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Automated Segmentation of the Left Ventricle Including Papillary Muscles in Cardiac Magnetic Resonance Images

Functional Imaging and Modeling of the Heart - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72907-5_46 ◽

2007 ◽

pp. 453-462 ◽

Cited By ~ 7

Author(s):

R. El Berbari ◽

I. Bloch ◽

A. Redheuil ◽

E. D. Angelini ◽

E. Mousseaux ◽

...

Keyword(s):

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricle ◽

Magnetic Resonance Images ◽

Automated Segmentation ◽

Papillary Muscles

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Automatic Left Ventricle Segmentation in Cardiac Magnetic Resonance Images via Threshold Selection

2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) ◽

10.1109/cyber.2017.8446492 ◽

2017 ◽

Author(s):

Jingjing Xiong ◽

Yongming Yang ◽

Zhenzhou Wang

Keyword(s):

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricle ◽

Magnetic Resonance Images ◽

Threshold Selection ◽

Ventricle Segmentation

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Method for Segmentation of the Endocardium and Epicardium of the Left Ventricle in Cardiac Magnetic Resonance Images

Journal of Software ◽

10.3724/sp.j.1001.2009.03557 ◽

2010 ◽

Vol 20 (5) ◽

pp. 1176-1184 ◽

Cited By ~ 1

Author(s):

Yuan-Quan WANG ◽

Yun-De JIA

Keyword(s):

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricle ◽

Magnetic Resonance Images

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Deep convolutional neural networks for automatic segmentation of left ventricle cavity from cardiac magnetic resonance images

IET Computer Vision ◽

10.1049/iet-cvi.2016.0482 ◽

2017 ◽

Vol 11 (8) ◽

pp. 643-649 ◽

Cited By ~ 10

Author(s):

Xulei Yang ◽

Zeng Zeng ◽

Su Yi

Keyword(s):

Neural Networks ◽

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricle ◽

Convolutional Neural Networks ◽

Automatic Segmentation ◽

Magnetic Resonance Images ◽

Deep Convolutional Neural Networks

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Automatic segmentation of left ventricle cavity from short-axis cardiac magnetic resonance images

Medical & Biological Engineering & Computing ◽

10.1007/s11517-017-1614-1 ◽

2017 ◽

Vol 55 (9) ◽

pp. 1563-1577 ◽

Cited By ~ 5

Author(s):

Xulei Yang ◽

Qing Song ◽

Yi Su

Keyword(s):

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricle ◽

Automatic Segmentation ◽

Magnetic Resonance Images ◽

Short Axis

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Segmenting the endocardial border of the left ventricle in cardiac magnetic resonance images

Computers in Cardiology, 2003 ◽

10.1109/cic.2003.1291233 ◽

2003 ◽

Cited By ~ 1

Author(s):

H. El-Messiry ◽

H.A. Kestler ◽

O. Grebe ◽

H. Neumann

Keyword(s):

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricle ◽

Magnetic Resonance Images ◽

Endocardial Border

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Robust and automatic diagnosis of the intraventricular mechanical dyssynchrony for the left ventricle in cardiac magnetic resonance images

International Journal of Computer Assisted Radiology and Surgery ◽

10.1007/s11548-017-1574-9 ◽

2017 ◽

Vol 12 (9) ◽

pp. 1471-1480

Author(s):

Zhenzhou Wang

Keyword(s):

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricle ◽

Mechanical Dyssynchrony ◽

Magnetic Resonance Images ◽

Automatic Diagnosis

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Automatic and optimal segmentation of the left ventricle in cardiac magnetic resonance images independent of the training sets

IET Image Processing ◽

10.1049/iet-ipr.2018.5878 ◽

2019 ◽

Vol 13 (10) ◽

pp. 1725-1735 ◽

Cited By ~ 4

Author(s):

Zhenzhou Wang

Keyword(s):

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricle ◽

Magnetic Resonance Images ◽

Optimal Segmentation ◽

Training Sets

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A statistical shape model of the left ventricle from real-time 3D echocardiography and its application to myocardial segmentation of cardiac magnetic resonance images

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2018.03.013 ◽

2018 ◽

Vol 96 ◽

pp. 241-251 ◽

Cited By ~ 5

Author(s):

M.C. Carminati ◽

C. Piazzese ◽

M. Pepi ◽

G. Tamborini ◽

P. Gripari ◽

...

Keyword(s):

Cardiac Magnetic Resonance ◽

Magnetic Resonance ◽

Left Ventricle ◽

Real Time ◽

Magnetic Resonance Images ◽

Statistical Shape Model ◽

3D Echocardiography ◽

Shape Model ◽

Statistical Shape ◽

Myocardial Segmentation

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1110-221 Registration of cardiac magnetic resonance images with three-dimensional electroanatomical mapping to guide catheter ablation in the left ventricle

Journal of the American College of Cardiology ◽

10.1016/s0735-1097(04)90547-5 ◽

2004 ◽

Vol 43 (5) ◽

pp. A130

Author(s):

Vivek Y Reddy ◽

Zachary J Malchano ◽

Godtfred Holmvang ◽

Ehud J Schmidt ◽

Christopher Houghtaling ◽

...

Keyword(s):

Cardiac Magnetic Resonance ◽

Catheter Ablation ◽

Magnetic Resonance ◽

Left Ventricle ◽

Three Dimensional ◽

Magnetic Resonance Images ◽

Electroanatomical Mapping ◽

Guide Catheter

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