Matches in SemOpenAlex for { <https://semopenalex.org/work/W2021857796> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W2021857796 endingPage "46" @default.
- W2021857796 startingPage "46" @default.
- W2021857796 abstract "The standard algorithm used for SPECT reconstruction requires, as in x-ray CT, the selection of a one-dimensional window function. But one-dimensional filtering of the rotation views is inappropriate in SPECT where the “footprint” of the camera-collimator point spread function (PSF) is large compared to the desired SPECT section thickness. A Bayesean deblurring algorithm which has previously been shown to offer improved contrast and resolution in planar images is now being used to ameliorate the problems presented by this large PSF by pre-processing the rotation views two-dimensionally to remove some of the blurring caused by the collimator. After pre-processing, a ramp filter with the cut-off frequency at the Nyquist level may be used for the reconstruction giving improved resolution and contrast over SPECT images without Bayesean processing and using conventional window functions. This algorithm has been successfully applied to the problem of imaging the facial skeleton. A series of normal patients and those with craniomandibular disorders of unknown origin were imaged using 20 mCi Tc-99m MDP. TMJ arthropathy involving either the glenoid fossa or the mandibular condyle, orthopedic changes involving the mandible or maxilla, localized dental pathosis, as well as changes in structures peripheral to the facial skeleton were identified. Bayesean pre-processed SPECT depicted the facial skeleton more clearly as well as providing a more obvious demonstration of the bony changes associated with craniomandibular disorders than SPECT without pre-processing." @default.
- W2021857796 created "2016-06-24" @default.
- W2021857796 creator A5002752585 @default.
- W2021857796 creator A5039395117 @default.
- W2021857796 creator A5053535804 @default.
- W2021857796 creator A5072688935 @default.
- W2021857796 creator A5085204376 @default.
- W2021857796 date "1984-09-01" @default.
- W2021857796 modified "2023-10-17" @default.
- W2021857796 title "A BAYESEAN PRE-PROCESSOR FOR SPECT" @default.
- W2021857796 doi "https://doi.org/10.1097/00003072-198409001-00065" @default.
- W2021857796 hasPublicationYear "1984" @default.
- W2021857796 type Work @default.
- W2021857796 sameAs 2021857796 @default.
- W2021857796 citedByCount "0" @default.
- W2021857796 crossrefType "journal-article" @default.
- W2021857796 hasAuthorship W2021857796A5002752585 @default.
- W2021857796 hasAuthorship W2021857796A5039395117 @default.
- W2021857796 hasAuthorship W2021857796A5053535804 @default.
- W2021857796 hasAuthorship W2021857796A5072688935 @default.
- W2021857796 hasAuthorship W2021857796A5085204376 @default.
- W2021857796 hasConcept C105702510 @default.
- W2021857796 hasConcept C115961682 @default.
- W2021857796 hasConcept C154945302 @default.
- W2021857796 hasConcept C2780202543 @default.
- W2021857796 hasConcept C29694066 @default.
- W2021857796 hasConcept C2989005 @default.
- W2021857796 hasConcept C31972630 @default.
- W2021857796 hasConcept C41008148 @default.
- W2021857796 hasConcept C71924100 @default.
- W2021857796 hasConcept C9417928 @default.
- W2021857796 hasConcept C96646087 @default.
- W2021857796 hasConceptScore W2021857796C105702510 @default.
- W2021857796 hasConceptScore W2021857796C115961682 @default.
- W2021857796 hasConceptScore W2021857796C154945302 @default.
- W2021857796 hasConceptScore W2021857796C2780202543 @default.
- W2021857796 hasConceptScore W2021857796C29694066 @default.
- W2021857796 hasConceptScore W2021857796C2989005 @default.
- W2021857796 hasConceptScore W2021857796C31972630 @default.
- W2021857796 hasConceptScore W2021857796C41008148 @default.
- W2021857796 hasConceptScore W2021857796C71924100 @default.
- W2021857796 hasConceptScore W2021857796C9417928 @default.
- W2021857796 hasConceptScore W2021857796C96646087 @default.
- W2021857796 hasIssue "Supplement 9" @default.
- W2021857796 hasLocation W20218577961 @default.
- W2021857796 hasOpenAccess W2021857796 @default.
- W2021857796 hasPrimaryLocation W20218577961 @default.
- W2021857796 hasRelatedWork W2080322084 @default.
- W2021857796 hasRelatedWork W2287675142 @default.
- W2021857796 hasRelatedWork W23451984 @default.
- W2021857796 hasRelatedWork W2361114818 @default.
- W2021857796 hasRelatedWork W2787706201 @default.
- W2021857796 hasRelatedWork W2982110096 @default.
- W2021857796 hasRelatedWork W3003164983 @default.
- W2021857796 hasRelatedWork W3214851576 @default.
- W2021857796 hasRelatedWork W2187613906 @default.
- W2021857796 hasRelatedWork W2507763083 @default.
- W2021857796 hasVolume "9" @default.
- W2021857796 isParatext "false" @default.
- W2021857796 isRetracted "false" @default.
- W2021857796 magId "2021857796" @default.
- W2021857796 workType "article" @default.