Topology correction in brain cortex segmentation using a multiscale, graph-based algorithm. Academic Article

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.

authors

• Braga Neto, Ulisses

published proceedings

• IEEE Trans Med Imaging

altmetric score

• 3

author list (cited authors)

• Han, X., Xu, C., Braga-Neto, U., & Prince, J. L.

citation count

• 104

complete list of authors

• Han, Xiao||Xu, Chenyang||Braga-Neto, Ulisses||Prince, Jerry L

publication date

• February 2002

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Medical Imaging  Journal

keywords

• Algorithms
• Cerebral Cortex
• Computer Simulation
• Humans
• Image Processing, Computer-Assisted
• Imaging, Three-Dimensional
• Magnetic Resonance Imaging
• Models, Neurological
• Models, Statistical
• Pattern Recognition, Automated
• Reproducibility Of Results
• Sensitivity And Specificity

PubMed Central ID

• 11929099

Digital Object Identifier (DOI)

• 10.1109/42.993130

start page

• 109

end page

• 121

volume

• 21

issue

• 2

URL

• http://dx.doi.org/10.1109/42.993130