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Proceedings Paper

Quantitative evaluation of emission-computed tomography images based on fuzzy segmentation
Author(s): Thomas Schmitt; Heinz-Dieter Gebauer; Richard Freyer; Liane Oehme; Michael Andreeff; Wolf-Gunter Franke
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Paper Abstract

Single photon emission computed tomography (SPECT) performs real 3D functional imaging in nuclear medicine. Even though the visual interpretation of nuclear medicine images by experienced physicians predominates in diagnostics the quantitative image analysis can reduce the subjective observer influences and offers the possibility for the use of objective numerical criteria. An essential problem of the quantitative evaluation of SPECT images is the determination of functional volumes from reconstructed SPECT data. This is the prerequisite for the estimation of the absolute radio nuclide concentration as a high level quantitation. In this paper we present a combined technique for the determination of functional volumes in SPECT data including elements of voxel based clustering methods and edge based fuzzy segmentation.

Paper Details

Date Published: 14 November 1996
PDF: 7 pages
Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); doi: 10.1117/12.258253
Show Author Affiliations
Thomas Schmitt, Dresden Univ. of Technology (Germany)
Heinz-Dieter Gebauer, Dresden Univ. of Technology (Germany)
Richard Freyer, Dresden Univ. of Technology (Germany)
Liane Oehme, Dresden Univ. of Technology (Germany)
Michael Andreeff, Dresden Univ. of Technology (Germany)
Wolf-Gunter Franke, Dresden Univ. of Technology (Germany)


Published in SPIE Proceedings Vol. 2847:
Applications of Digital Image Processing XIX
Andrew G. Tescher, Editor(s)

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