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» Segmenting and Tracking the Left Ventricle by Learning the D...
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Publication
151views
12 years 5 months ago
Embedding Overlap Priors in Variational Left Ventricle Tracking
Tracking heart motion plays an essential role in the diagnosis of cardiovascular diseases. This study investigates overlap priors for variational tracking of the Left Ventricle (LV...
Ismail Ben Ayed, Shuo Li and Ian Ross

Publication
173views
12 years 5 months ago
Max-Flow Segmentation of the Left Ventricle by Recovering Subject-Specific Distributions via a Bound of the Bhattacharyya Measur
This study investigates fast detection of the left ventricle (LV) endo- and epicardium boundaries in a cardiac magnetic resonance (MR) sequence following the optimization of two or...
Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punitha...
CVBIA
2005
Springer
13 years 11 months ago
Simultaneous Segmentation and Motion Recovery in 3D Cardiac Image Analysis
Accurate and robust estimation of the three-dimensional left ventricular geometry and deformation has important clinical implications for better diagnosis and understanding of isch...
Ling Zhuang, Huafeng Liu, Wei Chen, Hujun Bao, Pen...
ICCV
1999
IEEE
14 years 8 months ago
Learning-based Object Detection in Cardiac MR Images
An automated method for left ventricle detection in MR cardiac images is presented. Ventricle detection is the rst step in a fully automated segmentation system used to compute vo...
Nicolae Duta, Anil K. Jain, Marie-Pierre Dubuisson...
MICCAI
2010
Springer
13 years 4 months ago
Joint Registration and Segmentation of Dynamic Cardiac Perfusion Images Using MRFs
In this paper we propose a Markov random field (MRF) based method for joint registration and segmentation of cardiac perfusion images, specifically the left ventricle (LV). MRFs ...
Dwarikanath Mahapatra, Ying Sun