Choosing anatomical-prior strength for MAP SPECT reconstruction to maximize lesion detectability
UMass Chan Affiliations
Department of RadiologyDocument Type
Conference PaperPublication Date
2007-10-26Keywords
LesionsImage reconstruction
Computed tomography
Humans
Testing
Anatomy
Computational modeling
Iterative algorithms
Feedback
Predictive models
Analytical, Diagnostic and Therapeutic Techniques and Equipment
Bioimaging and Biomedical Optics
Biological and Chemical Physics
Nuclear
Nuclear Engineering
Radiology
Metadata
Show full item recordAbstract
With the widespread availability of SPECT/CT systems it has become feasible to incorporate prior knowledge about anatomical boundaries into the SPECT reconstruction process, thus improving observer performance on tasks of clinical interest. We determine the optimal anatomical-prior strength for lesion search by measuring area under the LROC curve using human observers. We conclude that prior strength should be chosen assuming that only organ boundaries are available, even if lesion boundaries will also be known some of the time. We also test whether or not the presence of anatomical priors affects the observer's strategy, and conclude that mixing images with and without priors does not hurt reader performance when priors are not available. Finally, we examine whether using an anatomical prior in SPECT reconstruction helps observer performance when the observer already knows the possible lesion location, and conclude for this task anatomical priors do not provide the same improvement seen in search tasks.Source
Lehovich A, Gifford HC, Schneider PB, King MA. Choosing anatomical-prior strength for MAP SPECT reconstruction to maximize lesion detectability. IEEE Nucl Sci Symp Conf Rec (1997). 2007 Oct 26;6(1):4222-4225. doi: 10.1109/NSSMIC.2007.4437049. PMID: 19779594; PMCID: PMC2749318. Link to article on publisher's site
DOI
10.1109/NSSMIC.2007.4437049Permanent Link to this Item
http://hdl.handle.net/20.500.14038/29531PubMed ID
19779594Related Resources
ae974a485f413a2113503eed53cd6c53
10.1109/NSSMIC.2007.4437049