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» Segmenting and Tracking the Left Ventricle by Learning the D...
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ISBI
2006
IEEE
14 years 1 months ago
Comparing optical-flow based methods for quantification of myocardial deformations on RT3D ultrasound
Quantitative analysis of cardiac motion is of great clinical interest in assessing ventricular function. Real-time 3-D (RT3D) ultrasound transducers provide valuable threedimensio...
Qi Duan, Elsa D. Angelini, Olivier Gérard, ...
ICIP
2008
IEEE
14 years 9 months ago
Ultrasound imaging LV tracking with adaptive window size and automatic hyper-parameter estimation
The segmentation of the heart's left ventricle (LV) chamber in several medical imaging modalities, e.g. Ultrasound (US) and Magnetic Resonance (MRI), is important from a clin...
Jacinto Nascimento, João Sanches

Publication
200views
12 years 6 months ago
Tracking Endocardial Motion via Multiple Model Filtering of Distribution Cut
Tracking heart motion plays an essential role in the diagnosis of cardiovascular diseases. As such, accurate characterization of dynamic behavior of the left ventricle (LV) is esse...
Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Isl...
TIP
2008
86views more  TIP 2008»
13 years 7 months ago
Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects
We propose a principled framework for recursively segmenting deformable objects across a sequence of frames. We demonstrate the usefulness of this method on left ventricular segmen...
Walter Sun, Müjdat Çetin, Raymond C. C...
ICCV
2007
IEEE
14 years 1 months ago
Dense Multiscale Motion Extraction from Cardiac Cine MR Tagging using HARP Technology
We propose an operational method to extract the left ventricle (LV) systole dynamics using HARmonic Phase (HARP) images extracted from tagged cardiac MR sequences. Established tec...
Luc Florack, Hans C. van Assen, Avan Suinesiaputra