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Tests of projection and reconstruction domain equivalence for a feature-driven model observer
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Paper Abstract

Nonlinear visual-search (VS) observers have shown an ability to model humans for realistic detection, localization, and classification tasks with tomographic reconstructions. As reconstruction studies test the joint effects of data acquisition and postprocessing, applying observers for similar tasks in the projection domain is also of interest. To help investigate what information a non-ideal model can provide in this role, we have developed an analytical method for assessing acquisition quality in the reconstruction domain. This approach is most useful for assessing acquisition quality based on lesion-localization tasks. Observer studies with simulated Ga-67 SPECT data were conducted to test our method. The data were acquired for different numbers of projection angles. The results illustrate how image reconstruction processes can improve on acquisition quality as measured for an anthropomorphic model observer.

Paper Details

Date Published: 5 March 2019
PDF: 6 pages
Proc. SPIE 10952, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, 109520B (5 March 2019); doi: 10.1117/12.2512900
Show Author Affiliations
Howard C. Gifford, Univ. of Houston (United States)
Zohreh Karbaschi, Univ. of Houston (United States)

Published in SPIE Proceedings Vol. 10952:
Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment
Robert M. Nishikawa; Frank W. Samuelson, Editor(s)

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