Document Detail

Pairwise active appearance model and its application to echocardiography tracking.
MedLine Citation:
PMID:  17354956     Owner:  NLM     Status:  MEDLINE    
We propose a pairwise active appearance model (PAAM) to characterize statistical regularities in shape, appearance, and motion presented by a target that undergoes a series of motion phases, such as the left ventricle in echocardiography. The PAAM depicts the transition in motion phase through a Markov chain and the transition in both shape and appearance through a conditional Gaussian distribution. We learn from a database the joint Gaussian distribution of the shapes and appearances belonging to two consecutive motion phases (i.e., a pair of motion phases), from which we analytically compute the conditional Gaussian distribution. We utilize the PAAM in tracking the left ventricle contour in echocardiography and obtain improved tracking results in terms of localization accuracy when compared with expert-specified contours.
S Kevin Zhou; Jie Shao; Bogdan Georgescu; Dorin Comaniciu
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Publication Detail:
Type:  Evaluation Studies; Journal Article    
Journal Detail:
Title:  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention     Volume:  9     ISSN:  -     ISO Abbreviation:  Med Image Comput Comput Assist Interv     Publication Date:  2006  
Date Detail:
Created Date:  2007-03-14     Completed Date:  2007-04-06     Revised Date:  2009-12-11    
Medline Journal Info:
Nlm Unique ID:  101249582     Medline TA:  Med Image Comput Comput Assist Interv     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  736-43     Citation Subset:  IM    
Integrated Data Systems, Siemens Corporate Research, Inc., Princeton, NJ, USA.
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MeSH Terms
Artificial Intelligence*
Computer Simulation
Echocardiography / methods*
Heart Ventricles / ultrasonography*
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Models, Cardiovascular*
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity
Subtraction Technique*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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