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Computed Tomography

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Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

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CUSTOMISATION OF A MONTE CARLO DOSIMETRY TOOL FOR DENTAL CONE-BEAM CT SYSTEMS.

A Stratis¹, G Zhang², X Lopez-Rendon³

¹Department of Imaging and Pathology, Katholieke Universiteit Leuven, OMFS-IMPATH Research Group, Campus St. Raphael, Kapucijnenvoer 33, Leuven 3000, Belgium andreas.stratis@uzleuven.be.

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Summary

This study adapted a Monte Carlo (MC) framework for dental cone-beam computed tomography (CBCT) dosimetry. The validated tool accurately calculates radiation doses, enhancing the reliability of CBCT imaging in dentistry.

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A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

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Published on: April 8, 2020

Area of Science:

Medical Physics
Radiological Sciences
Computational Dosimetry

Background:

Monte Carlo (MC) simulations are crucial for accurate radiation dosimetry.
Dental cone-beam computed tomography (CBCT) requires precise dose assessment for patient safety.
Existing MC frameworks may need adaptation for specific medical imaging devices.

Purpose of the Study:

To modify and validate an EGSnrc MC framework for dental CBCT dosimetry.
To enable accurate absolute dose calculations for various clinical protocols.
To assess the reliability of the adapted framework for dental CBCT applications.

Main Methods:

Modified an existing EGSnrc MC framework by introducing equivalent sources for CBCT simulation.
Utilized Half Value Layer (HVL) measurements to define protocol-specific X-ray energy spectra.
Incorporated anode heel effect and total filtration characteristics.
Calibrated the framework for absolute dose calculations specific to the Promax 3D Max CBCT scanner.
Validated the MC calculated doses against ionisation chamber measurements in a water phantom.

Main Results:

The adapted MC framework accurately simulates X-ray output, accounting for filtration and anode heel effect.
Calibration factors were successfully generated for absolute dose calculations across different clinical protocols.
Comparison with experimental measurements in a water phantom showed good agreement, confirming the framework's reliability.
The framework demonstrated applicability to both bowtie and non-bowtie inherent filtrations.

Conclusions:

The modified EGSnrc MC framework provides a reliable tool for dental CBCT dosimetry.
This validated framework can be used for accurate dose calculations in dental imaging.
The study highlights the importance of tailored MC simulations for specific medical devices.