DocumentCode :
2514382
Title :
Location-known-exactly human-observer ROC studies of attenuation and other corrections for SPECT lung imaging
Author :
Lehovich, Andre ; Gifford, Howard C. ; King, Michael A.
Author_Institution :
Div. of Nucl. Medicine, Massachusetts Univ. Med. Sch., Worcester, MA
Volume :
6
fYear :
2006
fDate :
Oct. 29 2006-Nov. 1 2006
Firstpage :
3229
Lastpage :
3232
Abstract :
We use receiver operating characteristic (ROC) analysis of a location-known-exactly (LKE) lesion detection task to compare the image quality of SPECT reconstruction with and without various combinations of attenuation correction (AC), scatter correction (SC) and resolution compensation (RC). Hybrid images were generated from Tc-99m labelled NeoTect clinical backgrounds into which Monte Carlo simulated solitary pulmonary nodule (SPN) lung lesions were added, then reconstructed using several strategies. Results from a human-observer study show that attenuation correction degrades SPN detection, while resolution correction improves SPN detection, even when the lesion location is known. This agrees with the results of a previous localization-response operating characteristic (LROC) study using the same images, indicating that location uncertainty is not the sole source of the changes in detection accuracy.
Keywords :
image enhancement; image reconstruction; image resolution; lung; sensitivity analysis; single photon emission computed tomography; LKE human observer ROC studies; Monte Carlo simulated SPN; SPECT lung imaging; SPECT reconstruction; SPN detection; Tc99m labelled NeoTect clinical backgrounds; attenuation correction; image quality; image reconstruction; lesion detection task; location known exactly; receiver operating characteristic analysis; resolution compensation; scatter correction; solitary pulmonary nodule; Attenuation; Hybrid power systems; Image analysis; Image generation; Image quality; Image reconstruction; Image resolution; Lesions; Lungs; Scattering; ROC and LROC analysis; SPECT; attenuation correction; lesion detection; lung imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record, 2006. IEEE
Conference_Location :
San Diego, CA
ISSN :
1095-7863
Print_ISBN :
1-4244-0560-2
Electronic_ISBN :
1095-7863
Type :
conf
DOI :
10.1109/NSSMIC.2006.353696
Filename :
4179738
Link To Document :
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