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Proceedings Paper

Utilizing the Hotelling template as a tool for CT image reconstruction algorithm design
Author(s): Adrian A. Sanchez; Emil Y. Sidky; Xiaochuan Pan
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Paper Abstract

Design of image reconstruction algorithms for CT can be significantly aided by useful metrics of image quality. Useful metrics, however, are difficult to develop due to the high-dimensionality of the CT imaging system, lack of spatial invariance in the imaging system, and a high degree of correlation among the image voxels. Although true task-based evaluation on realistic imaging tasks can be time-consuming, and a given task may be insensitive to the image reconstruction algorithm, task-based metrics can still prove useful in many contexts. For example, model observers that mimic performance of the imaging system on specific tasks can provide a low-dimensional measure of image quality while still accounting for many of the salient properties of the system and object being scanned. In this work, ideal observer performance is computed on a single detection task. The modeled signal for detection is taken to be very small - size on the order of a detector bin - and inspection of the accompanying Hotelling template is suggested. We hypothesize that improved detection on small signals may be sensitive to the reconstruction algorithm. Further, we hypothesize that structurally simple Hotelling templates may correlate with high human observer performance.

Paper Details

Date Published: 22 February 2012
PDF: 5 pages
Proc. SPIE 8318, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, 83180V (22 February 2012); doi: 10.1117/12.913675
Show Author Affiliations
Adrian A. Sanchez, The Univ. of Chicago Medical Ctr. (United States)
Emil Y. Sidky, The Univ. of Chicago Medical Ctr. (United States)
Xiaochuan Pan, The Univ. of Chicago Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 8318:
Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment
Craig K. Abbey; Claudia R. Mello-Thoms, Editor(s)

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