Quantitative evaluation of emission-computed tomography images based on fuzzy segmentation

Thomas Schmitt; Heinz-Dieter Gebauer; Richard Freyer; Liane Oehme; Michael Andreeff; Wolf-Gunter Franke

doi:10.1117/12.258253

14 November 1996 Quantitative evaluation of emission-computed tomography images based on fuzzy segmentation

Thomas Schmitt, Heinz-Dieter Gebauer, Richard Freyer, Liane Oehme, Michael Andreeff, Wolf-Gunter Franke

Proceedings Volume 2847, Applications of Digital Image Processing XIX; (1996) https://doi.org/10.1117/12.258253
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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.

Citation Download Citation

Thomas Schmitt, Heinz-Dieter Gebauer, Richard Freyer, Liane Oehme, Michael Andreeff, and Wolf-Gunter Franke "Quantitative evaluation of emission-computed tomography images based on fuzzy segmentation", Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); https://doi.org/10.1117/12.258253

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