Enhanced bremsstrahlung spectrum reconstruction from depth-dose gradients

Area of Science:

• Medical Physics
• Computational Physics

Background:

• Accurate reconstruction of bremsstrahlung spectra is crucial for radiation therapy and medical imaging.
• Traditional inverse methods using central-axis depth-dose data can be ill-conditioned and sensitive to noise.

Purpose of the Study:

• To present a novel technique for improving the accuracy of bremsstrahlung spectra reconstruction.
• To demonstrate the advantages of using the gradient of depth-dose data in inverse methods.

Main Methods:

• Developed an inverse method utilizing the gradient of central-axis depth-dose data.
• Introduced regularization techniques to mitigate noise in both gradient-based and traditional methods.
• Compared the conditioning of the inverse problem formulated with gradients versus raw data.

Main Results:

• Reconstruction using data gradients resulted in significantly improved accuracy compared to using raw depth-dose data.
• The inverse problem formulated in terms of gradients was markedly less ill-conditioned.
• Errors from derivative calculations were controllable and did not negate the benefits of improved conditioning.

Conclusions:

• Utilizing the gradient of depth-dose data offers a more robust and accurate approach for bremsstrahlung spectra reconstruction.
• The gradient-based inverse method provides a significant advancement over conventional techniques.
• This technique holds promise for enhancing applications relying on accurate spectral information.