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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
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Beam angle optimization for proton therapy via group-sparsity based angle generation method.

Haozheng Shen1, Gezhi Zhang1, Yuting Lin2

  • 1University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China.

Medical Physics
|March 25, 2023
PubMed
Summary
This summary is machine-generated.

A new angle generation (AG) algorithm provides nearly-exact solutions for beam angle optimization (BAO) in proton therapy. This method significantly improves accuracy compared to existing techniques, offering a more efficient approach to treatment planning.

Keywords:
IMPTbeam angle optimizationgroup sparsity

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Optimization

Background:

  • Beam Angle Optimization (BAO) selects optimal beam angles for treatment planning, a complex NP-hard problem.
  • Exhaustive Search (ES) provides exact solutions but is computationally infeasible due to time constraints.

Purpose of the Study:

  • To develop and validate an optimization method for exact BAO solutions.
  • To benchmark the proposed method against optimal solutions obtained via ES.

Main Methods:

  • A novel Angle Generation (AG) algorithm was developed for Intensity Modulated Proton Therapy (IMPT) beam angle selection.
  • The AG method iteratively optimizes beam angles using group-sparsity (GS) regularization, referencing ES for ground truth.

Main Results:

  • The AG algorithm achieved near-optimal solutions for 2-4 beam angle selections in brain and lung cases.
  • AG solutions demonstrated superior ranking (e.g., 1/276) compared to GS (e.g., 42/276) against ES optimal solutions.

Conclusions:

  • The Angle Generation (AG) algorithm offers a highly accurate and efficient approach to Beam Angle Optimization (BAO).
  • AG provides nearly-exact solutions for proton therapy treatment planning, surpassing current methods.