000007656 001__ 7656
000007656 005__ 20251021115816.0
000007656 0247_ $$2DOI$$a10.6083/m4qf8sc9
000007656 037__ $$aETD
000007656 245__ $$aQuantifying differences in CT image quality between a model-based iterative reconstruction algorithm, an adaptive statistical iterative reconstruction algorithm, and filtered backprojection
000007656 260__ $$bOregon Health and Science University
000007656 269__ $$a2017
000007656 336__ $$aThesis
000007656 502__ $$bM.S.
000007656 502__ $$gMedical Physics
000007656 520__ $$aTo inform and advocate for clinical implementation of model-based iterative reconstruction (MBIR) techniques for computed tomography (CT), the complex relationships between spatial resolution, noise, and dose index must be explored and quantified. This study aimed to provide data illustrating which clinical applications may be gained from implementing MBIR by comparing metrics with commonly used reconstruction algorithms (adaptive IR and filtered back-projection).
000007656 542__ $$fIn copyright - single owner
000007656 650__ $$aAlgorithms$$014437
000007656 650__ $$aRadionuclide Imaging$$025115
000007656 650__ $$aTomography, X-Ray Computed$$027158
000007656 691__ $$aSchool of Medicine$$041369
000007656 692__ $$aDepartment of Diagnostic Radiology$$041407
000007656 7001_ $$aWhitson, Hayley$$uOregon Health and Science University$$041354
000007656 7201_ $$aGriglock, Thomas$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000007656 8564_ $$9de9933ef-e2d0-4c7a-a3a8-08ea034b2356$$s2074534$$uhttps://digitalcollections.ohsu.edu/record/7656/files/Whitson.Hayley.2017.pdf$$ePublic$$25f98eb804744dcffc710277f94121ee0$$31
000007656 905__ $$a/rest/prod/wp/98/8k/40/wp988k405
000007656 909CO $$ooai:digitalcollections.ohsu.edu:7656$$pstudent-work
000007656 980__ $$aTheses and Dissertations