## Abstract ## Purpose To validate __Bridge Burner__, a new brain segmentation algorithm based on thresholding, connectivity, surface detection, and a new operator of constrained growing. ## Materials and Methods T1โweighted MR images were selected at random from three previous neuroimaging stud
Segmentation of the hippocampus from brain MRI using deformable contours
โ Scribed by Amir Ghanei; Hamid Soltanian-Zadeh; Joe P. Windham
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 513 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0895-6111
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
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The paper presents an active-contour segmentation method for 2D structures in MR images. The method combines two approaches to active contour segmentation, known as balloons and snakes. This makes the method shape independent and accurate. New anti-tangling features were introduced to improve segmen