Abstract
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 for the MIPAV package.
Original language | English (US) |
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Pages (from-to) | 182-190 |
Number of pages | 9 |
Journal | Computer Methods and Programs in Biomedicine |
Volume | 88 |
Issue number | 2 |
DOIs | |
State | Published - Nov 2007 |
Externally published | Yes |
Keywords
- Brain imaging
- Fast marching methods
- Segmentation
- Topology correction
ASJC Scopus subject areas
- Software
- Computer Science Applications
- Health Informatics