TY  - THES
N2  - To 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).
DO  - 10.6083/m4qf8sc9
DO  - DOI
AB  - To 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).
T1  - Quantifying differences in CT image quality between a model-based iterative reconstruction algorithm, an adaptive statistical iterative reconstruction algorithm, and filtered backprojection
DA  - 2017
AU  - Whitson, Hayley M.
L1  - https://digitalcollections.ohsu.edu/record/7656/files/Whitson.Hayley.2017.pdf
PB  - Oregon Health and Science University
PY  - 2017
ID  - 7656
L4  - https://digitalcollections.ohsu.edu/record/7656/files/Whitson.Hayley.2017.pdf
KW  - Algorithms 
KW  - Radionuclide Imaging
KW  - Tomography
KW  - x-ray computed
TI  - Quantifying differences in CT image quality between a model-based iterative reconstruction algorithm, an adaptive statistical iterative reconstruction algorithm, and filtered backprojection
Y1  - 2017
L2  - https://digitalcollections.ohsu.edu/record/7656/files/Whitson.Hayley.2017.pdf
LK  - https://digitalcollections.ohsu.edu/record/7656/files/Whitson.Hayley.2017.pdf
UR  - https://digitalcollections.ohsu.edu/record/7656/files/Whitson.Hayley.2017.pdf
ER  -