NDLI: Deformable template and distribution mixture-based data modeling for the endocardial contour tracking in an echographic sequence

Content Provider	IEEE Xplore Digital Library
Author	Mignotte, M. Meunier, J.
Copyright Year	1999
Description	Author affiliation: INRIA, France (Mignotte, M.)
Abstract	We present a new method to shape-based segmentation of deformable anatomical structures in medical images and validate this approach by detecting and tracking the endocardial border in an echographic image sequence. To this end, a global prior knowledge of the endocardial contour is captured by a prototype template with a set of admissible deformations to take into account its inherent natural variability over time. In this approach, the data likelihood model rely on an accurate statistical modeling of the grey level distribution of each class present in the image. The parameters of this distribution mixture are given by a preliminary estimation step which takes into account the distribution shape of each class. Then the tracking problem is stated in a Bayesian framework where it ends up as an optimization problem. This one is then efficiently solved by a genetic algorithm combined with a steepest ascent procedure. This technique has been successfully applied on synthetic images and on a real echocardiographic image sequence.
Starting Page	225
Ending Page	230
File Size	749923
Page Count	6
File Format	PDF
ISBN	0769501494
ISSN	10636919
DOI	10.1109/CVPR.1999.786943
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deformable models Image segmentation Shape Image analysis Anatomical structure Biomedical imaging Image sequences Bayesian methods Ultrasonic imaging Genetic algorithms
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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Deformable template and distribution mixture-based data modeling for the endocardial contour tracking in an echographic sequence (1999).

Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence (1999)

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Deformable template and distribution mixture-based data modeling for the endocardial contour tracking in an echographic sequence

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Deformable template and distribution mixture-based data modeling for the endocardial contour tracking in an echographic sequence (1999).

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