Abstract
Improvements in the benefit of CT have been so dramatic that a tendency
exists to the overuse. CT is a diagnostic imaging modality giving higher patient
dose in comparison with other radiological procedures. While the benefits of CT
exceed the harmful effects of radiation exposure in patients, increasing radiation
doses to the population have raised.
The main objective of this work was to find an optimization approach to
minimize the radiation dose to adult patients undergoing CT examinations, while
maintaining the diagnostic image quality.
This study was done on four different CT scanners (2, 4, 16 and 64), in
Khartoum state, during the period 2013-2016. One way to achieve optimization is
to reduce tube rotation time, which has been shown to be effective in reducing
absorbed dose to patients undergoing CT examinations.
A total of 404 CT patients’ examinations 240 before and164 after
optimization were included in the study. The results from this study indicate that
radiation dose DLP was reduced significantly by (14.3%-59.7%) mGy.cm in Brain
Protocol and by (1.1%-28.2%) mGy.cm in Chest Protocol and by (16.2%-55.4%)
mGy.cm in Abdomen protocol for the four scanners. Image noise generally
increases, subjective image quality was affected by an increased noise level in the
images but was judged to be acceptable in all groups.Using this protocol, effective
dose was reduced by (22.9%-47.0%) mSv in Brain and (2.6%- 25.3%) mSv in
Chest and (15.6%-49.2%) mSv in Abdomen which in turns reduced the cancer
probability. This study showed that optimizing the dose and image quality for the
four CT scanners is dependent on choosing the appropriate parameter for the exam
protocol. Finally, concerted efforts and research should be directed to define
diagnostic image quality, and research efforts must focus on patient- and
technology- based methods to achieve a diagnostic- quality CT image at an
optimum radiation dose. A team approach is essential in CT protocol review. And
there is still considerable room for optimization and continuous developments of
new technologies aim to optimize image quality and radiation absorbed dose to the patient.
Ahmed, N (2021). Optimization Of Radiation Dose And Image Quality In Computed Tomography Imaging. Afribary. Retrieved from https://track.afribary.com/works/optimization-of-radiation-dose-and-image-quality-in-computed-tomography-imaging
Ahmed, Nissren "Optimization Of Radiation Dose And Image Quality In Computed Tomography Imaging" Afribary. Afribary, 19 May. 2021, https://track.afribary.com/works/optimization-of-radiation-dose-and-image-quality-in-computed-tomography-imaging. Accessed 23 Nov. 2024.
Ahmed, Nissren . "Optimization Of Radiation Dose And Image Quality In Computed Tomography Imaging". Afribary, Afribary, 19 May. 2021. Web. 23 Nov. 2024. < https://track.afribary.com/works/optimization-of-radiation-dose-and-image-quality-in-computed-tomography-imaging >.
Ahmed, Nissren . "Optimization Of Radiation Dose And Image Quality In Computed Tomography Imaging" Afribary (2021). Accessed November 23, 2024. https://track.afribary.com/works/optimization-of-radiation-dose-and-image-quality-in-computed-tomography-imaging