Assessment of mammography spectra using compton spectrometry techniques

Area of Science:

• Medical Physics
• Radiological Imaging
• Computational Physics

Background:

• Mammography quality control is essential for minimizing patient radiation dose.
• Accurate characterization of primary X-ray spectra is vital for effective quality control.
• Compton spectrometry offers a method for obtaining primary X-ray spectra.

Purpose of the Study:

• To simulate a commercial spectrometer for mammography X-ray tubes using the Monte Carlo method.
• To develop a computational model for characterizing X-ray spectra.
• To validate the methodology by comparing results with theoretical spectra.

Main Methods:

• Simulation of a mammography X-ray tube and spectrometer using the MCNP code.
• Development of a Response matrix from the simulation model.
• Application of truncated singular value decomposition to invert the ill-conditioned Response matrix.

Main Results:

• A validated computational model for spectrometer simulation was established.
• The truncated singular value decomposition method successfully addressed the ill-conditioned matrix inversion.
• The obtained X-ray spectra were compared with theoretical spectra, showing good agreement.

Conclusions:

• The Monte Carlo simulation combined with truncated singular value decomposition provides an accurate method for characterizing mammography X-ray spectra.
• This approach supports enhanced quality control of mammography units, contributing to radiation dose optimization.
• The validated methodology can be applied to further research in radiological physics.