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An Integration Scheme for Biomedical CT Image Segmentation

X. M. Pardo ; Dept. Electronica e Computacion, Universidade de Santiago de Compostela, Galicia, Spain
D. Cabello ; Dept. Electronica e Computacion, Universidade de Santiago de Compostela, Galicia, Spain
J. Heras ; Servicio de Cirurxia Ortopedica, Complexo Hospitalario Universitario, Universidade de Santiago de Compostela, Galicia, Spain

Puni tekst: engleski, pdf (7 MB) str. 295-309 preuzimanja: 102* citiraj
APA 6th Edition
Pardo, X.M., Cabello, D. i Heras, J. (1999). An Integration Scheme for Biomedical CT Image Segmentation. Journal of computing and information technology, 7 (4), 295-309. Preuzeto s https://hrcak.srce.hr/130483
MLA 8th Edition
Pardo, X. M., et al. "An Integration Scheme for Biomedical CT Image Segmentation." Journal of computing and information technology, vol. 7, br. 4, 1999, str. 295-309. https://hrcak.srce.hr/130483. Citirano 20.02.2020.
Chicago 17th Edition
Pardo, X. M., D. Cabello i J. Heras. "An Integration Scheme for Biomedical CT Image Segmentation." Journal of computing and information technology 7, br. 4 (1999): 295-309. https://hrcak.srce.hr/130483
Harvard
Pardo, X.M., Cabello, D., i Heras, J. (1999). 'An Integration Scheme for Biomedical CT Image Segmentation', Journal of computing and information technology, 7(4), str. 295-309. Preuzeto s: https://hrcak.srce.hr/130483 (Datum pristupa: 20.02.2020.)
Vancouver
Pardo XM, Cabello D, Heras J. An Integration Scheme for Biomedical CT Image Segmentation. Journal of computing and information technology [Internet]. 1999 [pristupljeno 20.02.2020.];7(4):295-309. Dostupno na: https://hrcak.srce.hr/130483
IEEE
X.M. Pardo, D. Cabello i J. Heras, "An Integration Scheme for Biomedical CT Image Segmentation", Journal of computing and information technology, vol.7, br. 4, str. 295-309, 1999. [Online]. Dostupno na: https://hrcak.srce.hr/130483. [Citirano: 20.02.2020.]

Sažetak
The 3D reconstruction of bones is very useful in medical applications such as presurgical planning of prosThesis implant. A vital step in the geometrical modeling of the bone/implant interface is the bone segmentation, which, usually needs a lot of human interaction. In order to release the surgeon from this tedious work, a robust segmentation system is needed. As noted by some authors, the integration of information from different segmentations could give robustness to this process. Here, an automatic integration method for the problem of delineating the contours of bone structures is presented. The system will integrate the classification information obtained from two segmentation methods, one based on region growing and the other based on snakes, using a Markov random field model.

Ključne riječi
segmentation; computed tomography (CT); Markov Random Field; integration; optimization

Hrčak ID: 130483

URI
https://hrcak.srce.hr/130483

Posjeta: 177 *