Human-observer LROC study of lesion detection in Ga-67 SPECT images reconstructed using MAP with anatomical priors
Lehovich, Andre ; Bruyant, Philippe P. ; Gifford, Howard C. ; Schneider, Peter B. ; Squires, Shane ; Licho, Robert ; Gindi, Gene ; King, Michael A
Citations
Student Authors
Faculty Advisor
Academic Program
UMass Chan Affiliations
Document Type
Publication Date
Subject Area
Embargo Expiration Date
Link to Full Text
Abstract
We compare the image quality of SPECT reconstruction with and without an anatomical prior. Area under the localization-response operating characteristic (LROC) curve is our figure of merit. Simulated Ga-67 citrate images, a SPECT lymph-nodule imaging agent, were generated using the MCAT digital phantom. Reconstructed images were read by human observers. Several reconstruction strategies are compared, including rescaled block iterative (RBI) and maximum-a-posteriori (MAP) with various priors. We find that MAP reconstruction using prior knowledge of organ and lesion boundaries significantly improves lesion-detection performance (p < 0.05). Pseudo-lesion boundaries, regions without increased uptake which are incorrectly treated as prior knowledge of lesion boundaries, do not decrease performance.
Source
Lehovich A, Bruyant PP, Gifford HC, Schneider PB, Squires S, Licho R, Gindi G, King MA. Human-observer LROC study of lesion detection in Ga-67 SPECT images reconstructed using MAP with anatomical priors. IEEE Nucl Sci Symp Conf Rec (1997). 2006;3:1699-1702. doi: 10.1109/NSSMIC.2006.354226. PMID: 19412357; PMCID: PMC2675947. Link to article on publisher's site