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Model-based deformable surface finding for medical images
Abstract
Describes a new global shape parameterization for smoothly deformable three-dimensional (3-D) objects, such as those found in biomedical images, whose diversity and irregularity make them difficult to represent in terms of fixed features or parts. This representation is used for geometric surface matching to 3-D medical image data, such as from magnetic resonance imaging (MRI). The parameterization decomposes the surface into sinusoidal basis functions. Four types of surfaces are modeled: tori, open surfaces, closed surfaces and tubes. This parameterization allows a wide variety of smooth surfaces to be described with a small number of parameters. Extrinsic model-based information is incorporated by introducing prior probabilities on the parameters. Surface finding is formulated as an optimization problem. Results of the method applied to synthetic images and 3-D medical images of the heart and brain are presented.
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Cites
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Cited by
Image Sharpening by Flows Based on Triple Well Potentials
Gilboa, G., Sochen, N., & Zeevi, Y. Y. (2004) · Journal of Mathematical Imaging and Vision · doi:10.1023/b:jmiv.0000011320.81911.38 · Cited by 616
Three-dimensional modeling for functional analysis of cardiac images, a review
Frangi, A. F., Niessen, W. J., & Viergever, M. A. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906421 · Cited by 533
Liang, L., Liu, M., Martin, C., & Sun, W. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0844 · Cited by 502
Elastic model-based segmentation of 3-D neuroradiological data sets
Kelemen, A., Szekely, G., & Gerig, G. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.811260 · Cited by 434
Geodesic Shooting for Computational Anatomy
Miller, M. I., Trouvé, A., & Younes, L. (2006) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-005-3624-0 · Cited by 366
Metadata
- Authors
- Staib, L. H., & Duncan, J. S.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 1996-10
- Volume
- 15
- Issue
- 5
- Pages
- 720-731
- ISSN
- 0278-0062 (ISSN-L)
- 1558-254X
- OpenAlex
- W2058822180
- Cited by
- 228
- References
- 1
- FWCI
- 13.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- Staib, L. H., & Duncan, J. S. (1996). Model-based deformable surface finding for medical images. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.538949
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