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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

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A hybrid column generation and simulated annealing algorithm for direct aperture optimization.

S Mueller¹, G Guyer¹, T Risse¹

¹Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland.

Physics in Medicine and Biology

|February 25, 2022

Summary

This summary is machine-generated.

A new hybrid algorithm (H-DAO) improves radiation therapy planning by using fewer apertures for intensity modulated radiation therapy (IMRT) and mixed photon-electron beam radiotherapy (MBRT). This method enhances plan quality and speeds up convergence compared to previous techniques.

Keywords:

IMRT MBRT column generation direct aperture optimization simulated annealing

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Area of Science:

Medical Physics
Computational Biology
Radiotherapy Optimization

Background:

Direct aperture optimization (DAO) is crucial for advanced radiotherapy techniques like intensity modulated radiation therapy (IMRT) and mixed photon-electron beam radiotherapy (MBRT).
Existing column generation (CG) methods for DAO face limitations in aperture selection and adaptability.

Purpose of the Study:

To develop a hybrid column generation and simulated annealing algorithm (H-DAO) for direct aperture optimization.
To evaluate the effectiveness of H-DAO in generating high-quality treatment plans for IMRT and MBRT.

Main Methods:

The H-DAO algorithm incorporates a branch-feature for improved aperture selection and a simulated annealing (SA) feature for aperture shape changes.
The algorithm iteratively adds apertures, optimizing their shape and monitor units (MU) using a combination of CG and SA techniques.
Treatment plans generated by H-DAO were compared against those from a conventional CG-DAO for IMRT and MBRT across various clinical cases.

Main Results:

H-DAO demonstrated faster convergence in objective function value with respect to the number of apertures compared to CG-DAO for both IMRT and MBRT.
H-DAO required approximately half the number of apertures to achieve comparable objective function values.
Average aperture areas were 27% smaller with H-DAO, leading to a slight increase in the optimized vs. final dose discrepancy but retaining dosimetric benefits.

Conclusions:

The developed H-DAO algorithm is effective for optimizing IMRT and MBRT treatment plans.
H-DAO offers a superior trade-off between treatment plan quality and the number of apertures due to its faster convergence properties.
The enhanced aperture selection and shape modification capabilities of H-DAO represent a significant advancement in radiotherapy planning optimization.