Topology correction of segmented medical images using a fast marching algorithm
| Autor: | Dzung L. Pham, Pierre-Louis Bazin |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Diagnostic Imaging
Fast marching algorithm Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Probabilistic logic Brain Health Informatics Topology United States Article Computer Science Applications Radiography Binary segmentation Computer Science::Computer Vision and Pattern Recognition Image Processing Computer-Assisted Medical imaging Humans Computer vision Segmentation Artificial intelligence business Algorithms Software Fast marching method |
| Zdroj: | Computer Methods and Programs in Biomedicine. 88:182-190 |
| ISSN: | 0169-2607 |
| Popis: | We present here a new method for correcting the topology of objects segmented from medical images. Whereas previous techniques alter a surface obtained from a binary segmentation of the object, our technique can be applied directly to the image intensities of a probabilistic or fuzzy segmentation, thereby propagating the topology for all isosurfaces of the object. From an analysis of topological changes and critical points in implicit surfaces, we derive a topology propagation algorithm that enforces any desired topology using a fast marching technique. The method has been applied successfully to the correction of the cortical gray matter / white matter interface in segmented brain images and is publicly released as a software plug-in or the MIPAV package. |
| Databáze: | OpenAIRE |
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