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Organ Dose Evaluations Based on Monte Carlo Simulation for CT Examinations Using Tube Current Modulation
K Fujii1,2, K Nomura2, Y Muramatsu2
1Department of Radiological Sciences, Nagoya University Graduate School of Medicine, 1-1-20, Daikominami, Higashi-ku, Nagoya, Japan.
This study validated organ doses in adult CT scans using Monte Carlo simulations and in-phantom dosimetry. Results show good agreement between simulated and measured organ doses for chest and abdomen-pelvis computed tomography (CT) examinations.
Area of Science:
- Medical Physics
- Radiological Sciences
- Computational Imaging
Background:
- Accurate organ dose estimation is crucial for patient safety in computed tomography (CT).
- Tube current modulation (TCM) is a technique used to optimize radiation dose in CT examinations.
- Validation of simulation methods against experimental measurements is essential for reliable dose assessment.
Purpose of the Study:
- To estimate tube current values for X-ray projection angles in adult chest and abdomen-pelvis CT with TCM.
- To validate organ doses calculated using Monte Carlo (MC) simulations by comparing them with in-phantom dosimetry measurements.
Main Methods:
- Organ doses were simulated using MC software with CT scanner geometry, TCM curves, and phantom images.
- In-phantom dosimetry was performed using radio-photoluminescence glass dosemeters placed at organ positions.
- Simulated and measured organ doses were compared for chest and abdomen-pelvis CT scans.
Main Results:
- Relative differences between simulated and measured organ doses ranged from -2.5% to 11.0% for chest CT.
- Relative differences between simulated and measured organ doses ranged from -1.5% to 10.5% for abdomen-pelvis CT.
- The study demonstrated good agreement between MC-simulated and measured organ doses.
Conclusions:
- MC simulations with estimated TCM curves provide accurate organ dose estimations for adult CT.
- In-phantom dosimetry validates the reliability of MC simulations for CT dose assessment.
- These findings support the use of validated MC simulations for optimizing radiation protection in CT.
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