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dc.titleA multiresolution segmentation technique for spine MRI images
dc.contributor.authorLi, H.
dc.contributor.authorYan, C.H.
dc.contributor.authorOng, S.H.
dc.contributor.authorChui, C.K.
dc.contributor.authorTeoh, S.H.
dc.identifier.citationLi, H., Yan, C.H., Ong, S.H., Chui, C.K., Teoh, S.H. (2002). A multiresolution segmentation technique for spine MRI images. Proceedings of SPIE - The International Society for Optical Engineering 4684 III : 1709-1717. ScholarBank@NUS Repository.
dc.description.abstractIn this paper, we describe a hybrid method for segmentation of spinal magnetic resonance imaging that has been developed based on the natural phenomenon of "stones appearing as water recedes". The candidate segmentation region corresponds to the "stones" with characteristics similar to that of intensity extrema, edges, intensity ridge and grey-level blobs. The segmentation method is implemented based on a combination of wavelet multiresolution decomposition and fuzzy clustering. First thresholding is performed dynamically according to local characteristic to detect possible target areas, We then use fuzzy c-means clustering in concert with wavelet multiscale edge detection to identify the maximum likelihood anatomical and functional target areas. Fuzzy C-Means uses iterative optimization of an objective function based on a weighted similarity measure between the pixels in the image and each of c cluster centers. Local extrema of this objective function are indicative of an optimal clustering of the input data. The multiscale edges can be detected and characterized from local maxima of the modulus of the wavelet transform while the noise can be reduced to some extent by enacting thresholds. The method provides an efficient and robust algorithm for spinal image segmentation. Examples are presented to demonstrate the efficiency of the technique on some spinal MRI images.
dc.subjectFuzzy c-means clustering
dc.subjectImage segmentation
dc.subjectMultiresolution analysis
dc.subjectWavelet transform
dc.typeConference Paper
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.sourcetitleProceedings of SPIE - The International Society for Optical Engineering
dc.description.volume4684 III
Appears in Collections:Staff Publications

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