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PATIENT DOSE ASSESSMENT AND OPTIMISATION OF PELVIC RADIOGRAPHY WITH COMPUTED RADIOGRAPHY SYSTEMS.

D Abbeyquaye1,2, S Inkoom1,3, N B Hammond1,4

  • 1Department of Medical Physics, School of Nuclear and Allied Sciences, University of Ghana, Atomic Energy Campus, P.O. Box AE 1, Atomic Energy-Accra, Ghana.

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Summary
This summary is machine-generated.

Digital radiography optimizes pelvic X-ray dose and image quality. Adjusting tube potential and focus-detector distance significantly reduced radiation exposure without compromising diagnostic image quality (IQ).

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Area of Science:

  • Radiological Physics
  • Medical Imaging
  • Radiation Protection

Background:

  • Digital radiography offers potential for radiation dose reduction.
  • Optimizing dose and image quality (IQ) is crucial in diagnostic imaging.
  • Pelvic X-ray examinations require careful dose management.

Purpose of the Study:

  • To explore dose and image quality (IQ) optimization strategies in digital radiography.
  • To assess the impact of varying parameters on radiation dose and IQ.
  • To determine optimal settings for pelvic anteroposterior X-ray examinations.

Main Methods:

  • Indirect method used to determine entrance surface dose (ESD), effective dose (ED), and organ doses.
  • Signal-to-noise ratio (SNR) used to assess radiographic image quality (IQ).
  • Anthropomorphic phantom exposed with variable tube potential (kVp), tube current-time product (mAs), and focus-to-detector distance (FDD).

Main Results:

  • Mean patient ESD: 2.38 ± 0.60 mGy; Mean ED: 0.25 ± 0.07 mSv; Mean SNR: 8.5 ± 2.2.
  • Optimisation reduced entrance dose by 29.2% through a 5 cm FDD increment and 5 kVp reduction.
  • kVp/mAs reduction with increased FDD lowered entrance dose without compromising IQ.

Conclusions:

  • Radiation dose reduction is achievable in pelvic radiography using digital systems.
  • Optimized technique factors (kVp, mAs, FDD) can significantly decrease patient dose.
  • Effective dose reduction strategies can be implemented without sacrificing diagnostic image quality.