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Proceedings Paper

Fuzzy segmentation approach for quantitative SPECT
Author(s): Thomas Schmitt; Richard Freyer; Liane Oehme; Michael Andreeff; Wolf-Gunter Franke
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Paper 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'.

Paper Details

Date Published: 24 June 1998
PDF: 11 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310941
Show Author Affiliations
Thomas Schmitt, Dresden Univ. of Technology (Germany)
Richard Freyer, Dresden Univ. of Technology (Germany)
Liane Oehme, Dresden Univ. of Techology (Germany)
Michael Andreeff, Dresden Univ. of Technology (Germany)
Wolf-Gunter Franke, Dresden Univ. of Technology (Germany)

Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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