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Volumetric object reconstruction using the 3D-MRF model-based segmentation.
IEEE Trans Med Imaging. 1997 Dec; 16(6):887-92.IT

Abstract

A number of segmentation algorithms have been developed, but those algorithms are not effective on volume reconstruction because they are limited to operating only on two-dimensional (2-D) images. In this paper, we propose the volumetric object reconstruction method using the three-dimensional Markov random field (3D-MRF) model-based segmentation. The 3D-MRF model is known to be one of efficient ways to model spatial contextual information. The method is compared with the 2-D region growing scheme under three types of interpolation. The results show that the proposed method is better in the aspect of image quality than other methods.

Authors+Show Affiliations

Choi SM
Department of Computer Science and Engineering, Ewha Womans University, Seoul, Korea.
Lee JE
No affiliation info available
Kim J
No affiliation info available
Kim MH
No affiliation info available

MeSH

AlgorithmsHumansImage Processing, Computer-AssistedKnee JointMagnetic Resonance Imaging

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

9533588

Citation

Choi, S M., et al. "Volumetric Object Reconstruction Using the 3D-MRF Model-based Segmentation." IEEE Transactions On Medical Imaging, vol. 16, no. 6, 1997, pp. 887-92.
Choi SM, Lee JE, Kim J, et al. Volumetric object reconstruction using the 3D-MRF model-based segmentation. IEEE Trans Med Imaging. 1997;16(6):887-92.
Choi, S. M., Lee, J. E., Kim, J., & Kim, M. H. (1997). Volumetric object reconstruction using the 3D-MRF model-based segmentation. IEEE Transactions On Medical Imaging, 16(6), 887-92.
Choi SM, et al. Volumetric Object Reconstruction Using the 3D-MRF Model-based Segmentation. IEEE Trans Med Imaging. 1997;16(6):887-92. PubMed PMID: 9533588.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Volumetric object reconstruction using the 3D-MRF model-based segmentation. AU - Choi,S M, AU - Lee,J E, AU - Kim,J, AU - Kim,M H, PY - 1998/4/9/pubmed PY - 1998/4/9/medline PY - 1998/4/9/entrez SP - 887 EP - 92 JF - IEEE transactions on medical imaging JO - IEEE Trans Med Imaging VL - 16 IS - 6 N2 - A number of segmentation algorithms have been developed, but those algorithms are not effective on volume reconstruction because they are limited to operating only on two-dimensional (2-D) images. In this paper, we propose the volumetric object reconstruction method using the three-dimensional Markov random field (3D-MRF) model-based segmentation. The 3D-MRF model is known to be one of efficient ways to model spatial contextual information. The method is compared with the 2-D region growing scheme under three types of interpolation. The results show that the proposed method is better in the aspect of image quality than other methods. SN - 0278-0062 UR - https://www.unboundmedicine.com/medline/citation/9533588/Volumetric_object_reconstruction_using_the_3D_MRF_model_based_segmentation_ L2 - https://dx.doi.org/10.1109/42.650884 DB - PRIME DP - Unbound Medicine ER -