Fuzzy segmentation approach for quantitative SPECT

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

doi:10.1117/12.310941

24 June 1998 Fuzzy segmentation approach for quantitative SPECT

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

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310941
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

The determination of objective numerical criteria from nuclear medicine image data renders it possible to plan and control therapies, to compare inter- and intra-individual studies as well as time course studies and to facilitate the dominating visual interpretation of scintigrams. SPECT performs real 3D functional imaging of radionuclide distributions. The basic numerical value is the functional volume of a certain region. The volume is one prerequisite for activity measurement, but the value itself is of diagnostic importance, too. For determining the region boundaries several segmentation approaches are commonly used which are generally based on interactive ROI drawing, thresholding or edge detection methods. The image quality properties of SPECT render the segmentation process more difficult in any case. We propose an alternative segmentation approach where the crisp decision `object: yes or not' is substituted by a fuzzy boundary model `object: more or less'.

Citation Download Citation

Thomas Schmitt, Richard Freyer, Liane Oehme, Michael Andreeff, and Wolf-Gunter Franke "Fuzzy segmentation approach for quantitative SPECT", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310941

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