The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Segmentation and measurement of the cortex from 3-D MR images using coupled-surfaces propagation
Abstract
The cortex is the outermost thin layer of gray matter in the brain; geometric measurement of the cortex helps in understanding brain anatomy and function. In the quantitative analysis of the cortex from MR images, extracting the structure and obtaining a representation for various measurements are key steps. While manual segmentation is tedious and labor intensive, automatic reliable efficient segmentation and measurement of the cortex remain challenging problems, due to its convoluted nature. Here we present a new approach of coupled-surfaces propagation, using level set methods to address such problems. Our method is motivated by the nearly constant thickness of the cortical mantle and takes this tight coupling as an important constraint. By evolving two embedded surfaces simultaneously, each driven by its own image-derived information while maintaining the coupling, a final representation of the cortical bounding surfaces and an automatic segmentation of the cortex are achieved. Characteristics of the cortex, such as cortical surface area, surface curvature, and cortical thickness, are then evaluated. The level set implementation of surface propagation offers the advantage of easy initialization, computational efficiency, and the ability to capture deep sulcal folds. Results and validation from various experiments on both simulated and real three-dimensional (3-D) MR images are provided.
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Cites
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Cited by
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610
Han, X., Jovicich, J., Salat, D., van der Kouwe, A., Quinn, B., Czanner, S., Busa, E., Pacheco, J., Albert, M., Killiany, R., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.051 · Cited by 1,508
Cortical thickness analysis examined through power analysis and a population simulation
Lerch, J. P., & Evans, A. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.045 · Cited by 710
Cortical thickness and central surface estimation
Dahnke, R., Yotter, R. A., & Gaser, C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.050 · Cited by 709
Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements
Tustison, N. J., Cook, P. A., Klein, A., Song, G., Das, S. R., Duda, J. T., Kandel, B. M., van Strien, N., Stone, J. R., Gee, J. C., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.044 · Cited by 670
Metadata
- Authors
- Zeng, X., Staib, L. H., Schultz, R. T., & Duncan, J. S.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 1999
- Volume
- 18
- Issue
- 10
- Pages
- 927-937
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2097109632
- Cited by
- 320
- References
- 34
- FWCI
- 20.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zeng, X., Staib, L. H., Schultz, R. T., & Duncan, J. S. (1999). Segmentation and measurement of the cortex from 3-D MR images using coupled-surfaces propagation. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.811276
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