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Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

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SU-E-I-97: Characterizing the Modulation Transfer Function (MTF) of Proton Radiography.

J Seco^1,2,3,4, M Oumano^1,2,3,4, N Depauw^1,2,3,4

¹Mass General Hospital; Harvard Medical, Boston, MA.

Medical Physics

|May 19, 2017

Summary

Proton radiography achieves sub-millimeter resolution, enabling better material differentiation for advanced imaging and proton therapy applications. This advanced imaging technique offers improved diagnostic capabilities and reduced radiation dose compared to traditional methods.

Keywords:

Cancer Lungs Medical diagnosis Modulation transfer functions Monte Carlo methods Muscles Protons Radiography Spatial resolution Tissues

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Area of Science:

Medical Physics
Radiological Imaging
Computational Science

Background:

Proton radiography is an emerging imaging modality with potential advantages over conventional photon imaging.
Characterizing its spatial resolution is crucial for clinical applications.

Purpose of the Study:

To determine the modulation transfer function (MTF) of proton radiography using GEANT4 Monte Carlo simulations.
To evaluate the spatial resolution achievable for differentiating various biological tissues.

Main Methods:

GEANT4 Monte Carlo simulations were employed to model a phantom with bone, muscle, water, adipose, and lung tissues.
The contrast-to-noise ratio (CNR) was assessed to characterize spatial resolution via the MTF at the 10% point (MTF10%).
Parameters such as phantom material, thickness, and proton beam energy were systematically varied.

Main Results:

Proton radiography demonstrated the ability to distinguish between different materials with high spatial resolution.
Resolution was found to be better than 1 mm for water-adipose and water-muscle interfaces.
Sub-millimeter resolution was achieved for water-bone and water-lung interfaces.

Conclusions:

Proton radiography offers sub-millimeter resolution, a significant advancement for medical imaging.
Potential clinical applications include tumor diagnostics, precise patient setup for proton therapy, and reduced radiation dose.
This technology presents a promising alternative to photon imaging in specific scenarios.