UMass Chan Affiliations
Department of RadiologyDocument Type
Conference PaperPublication Date
2006-10-29Keywords
DisplaysHumans
Neoplasms
Testing
Volume measurement
Lesions
Lungs
Image reconstruction
Attenuation
Scattering
Analytical, Diagnostic and Therapeutic Techniques and Equipment
Bioimaging and Biomedical Optics
Biological and Chemical Physics
Nuclear
Nuclear Engineering
Radiology
Metadata
Show full item recordAbstract
A human-model observer for tumor detection-localization studies featuring multislice-multiview (or volumetric) image displays has been introduced. This volumetric observer, an extension of multiclass linear observers previously tested with single-slice and multislice displays, produces rating and localization data by integrating perception measurements from the different image views. A channelized NPW (CNPW) version of the observer was evaluated against humans for a background-known-exactly (BKE) detection task involving localization of Tc-99m Neotect lesions in simulated SPECT lung images. An LROC study evaluated two RBI reconstruction strategies that used different combinations of corrections for attenuation, scatter, and distance-dependent system resolution, and coronal, sagittal, and transverse slices were presented to the observers. Model-observer ranking of these strategies did not match that of the humans. Follow-up studies exploring several possible remedies for the model observer, including strategy-specific search regions and an internal-noise mechanism, showed little change. Future work will examine variations from the BKE assumption as a means of reconciling the rankings.Source
Gifford HC, Lehovich A, King MA. A Multiclass Model Observer for Multislice-Multiview Images. IEEE Nucl Sci Symp Conf Rec (1997). 2006;3:1687-1691. doi: 10.1109/NSSMIC.2006.354223. PMID: 19194524; PMCID: PMC2633942. Link to article on publisher's site
DOI
10.1109/NSSMIC.2006.354223Permanent Link to this Item
http://hdl.handle.net/20.500.14038/29533PubMed ID
19194524Related Resources
ae974a485f413a2113503eed53cd6c53
10.1109/NSSMIC.2006.354223