Segmentation of the hippocampus from brain MRI using deformable contours

The application of a discrete dynamic contour model for segmentation of the hippocampus from brain MRI has been investigated. Solutions to several common problems of dynamic contours in this case and similar cases have been developed. A new method for extracting the discontinuous boundary of a struc...

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Bibliographic Details
Published in:Computerized medical imaging and graphics 1998-05, Vol.22 (3), p.203-216
Main Authors: Ghanei, Amir, Soltanian-Zadeh, Hamid, Windham, Joe P.
Format: Article
Language:English
Subjects:
Algorithms
Biomechanical Phenomena
Brain
Brain - anatomy & histology
Computer Simulation
Dynamic contours
Edge detection
Feature extraction
Hippocampus
Hippocampus - anatomy & histology
Humans
Image Processing, Computer-Assisted - methods
Image segmentation
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Mathematical models
Medical imaging
Models, Biological
Movement
MRI
Phantoms, Imaging
Reproducibility of Results
Segmentation
Tomography, X-Ray Computed
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Summary:The application of a discrete dynamic contour model for segmentation of the hippocampus from brain MRI has been investigated. Solutions to several common problems of dynamic contours in this case and similar cases have been developed. A new method for extracting the discontinuous boundary of a structure with multiple edges near the structure has been developed. The method is based on detecting and following edges by external forces. The reliability of the final contour and the model stability have been improved by using a continuous mapping of the external energy and limiting movements of the contour. The problem of optimizing the internal force weight has been overcome by making it dependent on the amount of the external force. Finally, the results of applying the proposed algorithm, which implements the above modifications, to multiple applications have been evaluated.
ISSN:0895-6111
1879-0771
DOI:10.1016/S0895-6111(98)00026-3