Abstract
Segmentation and analysis of 2-D and 3-D CT and MR data sets is illustrated on examples covering renal function studies in MR time sequences, discrimination of brain matter in multispectral 3-D MRI, extraction of brain tumor by structure segmentation methods, and model guided analysis of hip-joint and pelvic anatomy. It is argued in favor of a tightly integrated analysis sequence which exploits the characteristics of the original measurements and all available anatomic information. Knowledge-based analysis has produced some preliminary results but must be considered still in its infancy. Novel ideas for describing and representing natural structures in conjunction with AI tools are needed for generally applicable analysis methods.
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Kübler, O., Gerig, G. (1990). Segmentation and Analysis of Multidimensional Data-Sets in Medicine. In: Höhne, K.H., Fuchs, H., Pizer, S.M. (eds) 3D Imaging in Medicine. NATO ASI Series, vol 60. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84211-5_4
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DOI: https://doi.org/10.1007/978-3-642-84211-5_4
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