TY  - THES
N2  - Proper use of computed tomography (CT) imaging systems depends heavily on accurate patient positioning. Patient misalignment with respect to scanner isocenter generates deleterious effects on both the quality of the resulting image and the radiation output of the CT scanner. Alignment errors produce pixel intensity inaccuracies and increases in noise which degrade the quality of the image. In terms of radiation dose, distorted approximations of patient size emanating from improper positioning result in misallocations of radiation output. The mission of this study is to increase patient alignment accuracy in an effort to optimize CT dose and image quality through an education initiative.
DO  - 10.6083/ww72bc095
DO  - DOI
AB  - Proper use of computed tomography (CT) imaging systems depends heavily on accurate patient positioning. Patient misalignment with respect to scanner isocenter generates deleterious effects on both the quality of the resulting image and the radiation output of the CT scanner. Alignment errors produce pixel intensity inaccuracies and increases in noise which degrade the quality of the image. In terms of radiation dose, distorted approximations of patient size emanating from improper positioning result in misallocations of radiation output. The mission of this study is to increase patient alignment accuracy in an effort to optimize CT dose and image quality through an education initiative.
T1  - Using a radiology-based informatics system to impact clinical practice: a study to improve and track patient alignment in computed tomography
DA  - 2019
AU  - Moody, Alexander J.
L1  - https://digitalcollections.ohsu.edu/record/7539/files/moody.alexander.2019.pdf
PB  - Oregon Health and Science University
PY  - 2019
ID  - 7539
L4  - https://digitalcollections.ohsu.edu/record/7539/files/moody.alexander.2019.pdf
KW  - Tomography
KW  - Medical Informatics Computing
KW  - Radiometry
KW  - Quality Improvement
KW  - Radiation Dosage
KW  - x-ray computed
TI  - Using a radiology-based informatics system to impact clinical practice: a study to improve and track patient alignment in computed tomography
Y1  - 2019
L2  - https://digitalcollections.ohsu.edu/record/7539/files/moody.alexander.2019.pdf
LK  - https://digitalcollections.ohsu.edu/record/7539/files/moody.alexander.2019.pdf
UR  - https://digitalcollections.ohsu.edu/record/7539/files/moody.alexander.2019.pdf
ER  -