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High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

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PATIENT-SPECIFIC DOSE ESTIMATES IN DYNAMIC COMPUTED TOMOGRAPHY MYOCARDIAL PERFUSION EXAMINATION.

V-M Sundell^1,2, M Kortesniemi¹, T Siiskonen³

¹HUS Medical Imaging Center, Helsinki University Central Hospital, Helsinki, Uusimaa, Finland.

Radiation Protection Dosimetry

|March 11, 2021

Summary

This study developed patient-specific dose estimates for dynamic CT myocardial perfusion using realistic scanner models and Monte Carlo simulations. Accurate dose assessment requires merging actual patient data with detailed anatomical models.

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Area of Science:

Medical Physics
Radiological Dosimetry
Cardiovascular Imaging

Background:

Computed Tomography (CT) myocardial perfusion imaging is crucial for diagnosing coronary artery disease.
Accurate patient-specific dose estimation is essential for radiation protection in dynamic CT examinations.
Previous dose estimations often relied on generic phantoms, potentially limiting accuracy.

Purpose of the Study:

To implement realistic source models of a CT scanner for Monte Carlo simulations.
To calculate patient-specific organ and effective dose estimates for dynamic CT myocardial perfusion.
To evaluate the impact of using actual patient data versus generic phantoms on dose estimation accuracy.

Main Methods:

Developed realistic source models (bowtie filter, tube output, X-ray spectra) for a Siemens Somatom Definition Flash scanner.
Merged 20 CT angiography patient datasets with a scaled ICRP 110 voxel phantom.
Conducted dose simulations using ImpactMC software for patient-specific dose calculations.

Main Results:

Effective dose estimates ranged from 5.0 to 14.6 mSv (80 kV) and 8.9 to 24.7 mSv (100 kV).
Significant variations in organ and effective doses were observed among patients.
Patient-specific dose simulations demonstrated considerable differences compared to generic phantom approaches.

Conclusions:

Patient-specific organ and effective dose estimates are feasible using realistic CT scanner models and Monte Carlo simulations.
Utilizing actual patient data merged with matched anthropomorphic anatomy is crucial for accurate dose estimation.
This approach enhances radiation safety and provides a more reliable basis for dose assessment in dynamic CT myocardial perfusion.