Journal of Isfahan Medical School

Journal of Isfahan Medical School

Practical Approach to Reducing Patients' Radiation Dose in Multidetector Computed Tomography-128 Using Modification of Scan Parameters

Document Type : Original Article (s)

Authors
Mohammad Reza Choopani 1
Iraj Abedi 2
Maedeh Mahmoodi 3
Jalal Bagheri 4
1 Department of Radiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
2 Assistant Professor, Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
3 Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
4 Department of Radiology, Alzahra Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
10.22122/jims.v38i596.12854
Abstract
Background: There is a close relationship between the radiation dose and the image quality; so that increasing the radiation dose leads to an increase in the image quality.Methods: In this study, images of different thicknesses and filters were obtained by using Multidetector Computed Tomography (CT)-128 and Body mass measurement device-7 (BMMD-7) phantom scanner. The parameters of radiation dose, noise, spatial, and contrast resolution were monitored by the observers as well.Findings: As the slice thickness increased, the amount of spatial resolution at different radiation doses was not significantly different from that of the standard image. In addition, by changing the reconstruction filter, a similar behavior was observed for spatial resolution (P ˂ 0.05).Conclusion: CT operators have the task of selecting the appropriate slice thickness and reconstruction filter for each medical application. Therefore, the radiation dose can be reduced to a higher degree according to the image quality required for diagnosis.
Keywords
Radiation Dosage
Multidetector computed tomography
Scan parameters
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Journal of Isfahan Medical School
Volume 38, Issue 596 - Serial Number 596
September and October 2020
Pages 769-775

  • Receive Date 15 March 2020
  • Accept Date 06 April 2022