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ISBI
2008
IEEE
14 years 5 months ago
Segmentation of the evolving left ventricle by learning the dynamics
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
Walter Sun, Müjdat Çetin, Raymond Chan...
IPMI
2005
Springer
14 years 5 months ago
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images
Having accurate left ventricle (LV) segmentations across a cardiac cycle provides useful quantitative (e.g. ejection fraction) and qualitative information for diagnosis of certain ...
Alan S. Willsky, Godtfred Holmvang, Müjdat &C...

Publication
151views
12 years 3 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
ICCV
2011
IEEE
12 years 5 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento
MICCAI
2005
Springer
14 years 5 months ago
Automatic Segmentation of the Left Ventricle in 3D SPECT Data by Registration with a Dynamic Anatomic Model
We present a fully automatic 3D segmentation method for the left ventricle (LV) in human myocardial perfusion SPECT data.
Lars Dornheim, Klaus D. Tönnies, Kat Dixon