3D Markov Random Fields and Region Growing for Interactive Segmentation of MR Data (original) (raw)
Abstract
Segmenting medical structures is mandatory in any computer assisted surgery system. This major field must be addressed in order to build realistic and accurate 3D models of patient individual anatomical structures.Magnetic Resonance Imaging (MRI) is becoming part of daily routine in clinical work. Whereas scanning speed and slice numbers increase each year, segmenting such data is still a challenging problem. Moreover, the segmentation stage remains time limiting in pre-operative planning and intra-operative guidance. Indeed, interactive tools, like live wire or intensity-based thresholding, requires a pre or post-filtering to homogenize areas. Common medical filters, such as median or morphology-based, are actually non adapted for MR noise removal. Their main side effect is to remove boundaries when applied on Gaussian corrupted data. Next, numerous steps spend efforts in reconstructing lost information and current approaches are therefore non interactive.
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Authors and Affiliations
- Surgical Simulation and Navigation Group, Research center caesar, Friedensplatz 16, 53111, Bonn, Germany
Marc Liévin, Nils Hanssen, Peter Zerfass & Erwin Keeve
Authors
- Marc Liévin
- Nils Hanssen
- Peter Zerfass
- Erwin Keeve
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Editors and Affiliations
- Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
Wiro J. Niessen & Max A. Viergever &
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© 2001 Springer-Verlag Berlin Heidelberg
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Liévin, M., Hanssen, N., Zerfass, P., Keeve, E. (2001). 3D Markov Random Fields and Region Growing for Interactive Segmentation of MR Data. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3\_158
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- DOI: https://doi.org/10.1007/3-540-45468-3\_158
- Published: 05 October 2001
- Publisher Name: Springer, Berlin, Heidelberg
- Print ISBN: 978-3-540-42697-4
- Online ISBN: 978-3-540-45468-7
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