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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...
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...
WSCG
2003
145views more  WSCG 2003»
13 years 6 months ago
Analysis of Four-Dimensional Cardiac Data Sets Using Skeleton-Based Segmentation
Computer-aided analysis of four-dimensional tomography data has become an important tool in modern cardiology. In order to examine the capability and health of a patient’s cardi...
André Neubauer, Rainer Wegenkittl
CBMS
2007
IEEE
13 years 11 months ago
Segmentation and Tracking of the Left Ventricle in 3D MRI Sequences Using an Active Surface Model
We describe a 3D+T active surface model for segmentation and tracking of the left ventricular endocardium within 3D MRI sequences of the cardiac cycle. In order to perform segment...
Julien Mille, Romuald Boné, Pascal Makris, ...
MICCAI
2002
Springer
14 years 5 months ago
Atlas-Based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration
We propose a novel method for fully automated segmentation and tracking of the myocardium and left and right ventricles (LV and RV) using 4D MR images. The method uses non-rigid re...
Daniel Rueckert, Gerardo I. Sanchez-Ortiz, Maria L...