Work

Adaptive SPECT for tumor necrosis detection

Year: 2008

Type: conference-paper

Abstract: In this paper, we consider a prototype of an adaptive SPECT system, and we use simulation to objectively assess the system's performance with respect to a conventional, non-adaptive SPECT system. Objective performance assessment is investigated for a clinically relevant task: the detection of tumor necrosis at a known location and in a random lumpy background. The iterative maximum-likelihood expectation-maximization (MLEM) algorithm is used to perform image reconstruction. We carried out human observer studies on the reconstructed images and compared the probability of correct detection when the data are generated with the adaptive system as opposed to the non-adaptive system. Task performance is also assessed by using a channelized Hotelling observer, and the area under the receiver operating characteristic curve is the figure of merit for the detection task. Our results show a large performance improvement of adaptive systems versus non-adaptive systems and motivate further research in adaptive medical imaging.

Source: 2006 IEEE Nuclear Science Symposium Conference Record

DOI: 10.1109/nssmic.2008.4774505

Authors: Luca Caucci, Matthew A. Kupinski, Melanie Freed, Lars R. Furenlid, Donald W. Wilson, Harrison H. Barrett

Institutions: University of Arizona, United States Food and Drug Administration

Language: English

Topic: Medical Imaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering