Show simple item record

dc.contributorVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciencesen_US
dc.contributor.authorWang, Geen_US
dc.date.accessioned2015-10-06T15:29:57Z
dc.date.available2015-10-06T15:29:57Z
dc.date.issued2008-06-17
dc.identifier.citationWang, G. (2008). Axiomatic Imaging Theory - Formulate with Fairness & Fun. Poster. Retrieved from http://www.imaging.sbes.vt.edu/posters/Axiomatic%20Imaging%20Theory.pdf
dc.identifier.urihttp://hdl.handle.net/10919/56709
dc.description.abstractThere are many imaging systems. Their performance characterization is important for all applications. Various definitions are introduced for quantification of image resolution, which is the ability of an imaging system to separate two localized signals. In the nonnegative space, we postulated a set of axioms that a good image resolution measure should satisfy, obtained such an image resolution measure, applied our finding in comparing medical CT scanners, and won a 2004 Herbert M. Stauffer Award. We believe that imaging theory can be unified using the axiomatic approach.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_US
dc.subjectAxiomsen_US
dc.subjectCT scanningen_US
dc.subjectImagingen_US
dc.titleAxiomatic Imaging Theory - Formulate with Fairness & Funen_US
dc.typePosteren_US
dc.contributor.departmentSchool of Biomedical Engineering and Sciencesen_US
dc.identifier.urlhttp://www.imaging.sbes.vt.edu/posters/Axiomatic%20Imaging%20Theory.pdf
dc.date.accessed2014-11-26
dc.type.dcmitypeTexten_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record