Abstract
Reconstructing an accurate and topologically correct representation of the cortical surface of the brain is an important objective in various neuroscience applications. Most cortical surface reconstruction methods either ignore topology or correct it using manual editing or methods that lead to inaccurate reconstructions. Shattuck and Leahy recently reported a fully automatic method that yields a topologically correct representation with little distortion of the underlying segmentation. We provide an alternate approach that has several advantages over their approach, including the use of arbitrary digital connectivities, a flexible morphology-based multiscale approach, and the option of foreground-only or background-only correction. A detailed analysis of the method's performance on 15 magnetic resonance brain images is provided.
Original language | English (US) |
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Pages (from-to) | 109-121 |
Number of pages | 13 |
Journal | IEEE transactions on medical imaging |
Volume | 21 |
Issue number | 2 |
DOIs | |
State | Published - Feb 2002 |
Keywords
- Brain imaging
- Cortical surface extraction
- Digital topology
- Graph analysis
- Segmentation
ASJC Scopus subject areas
- Software
- Radiological and Ultrasound Technology
- Computer Science Applications
- Electrical and Electronic Engineering