Guaranteed epsilon-optimal treatment plans with the minimum number of beams for stereotactic body radiation therapy

  title={Guaranteed epsilon-optimal treatment plans with the minimum number of beams for stereotactic body radiation therapy},
  author={Hamed Yarmand and Brian Winey and David Craft},
  journal={Physics in Medicine and Biology},
  pages={5931 - 5944}
Stereotactic body radiation therapy (SBRT) is characterized by delivering a high amount of dose in a short period of time. In SBRT the dose is delivered using open fields (e.g., beam’s-eye-view) known as ‘apertures’. Mathematical methods can be used for optimizing treatment planning for delivery of sufficient dose to the cancerous cells while keeping the dose to surrounding organs at risk (OARs) minimal. Two important elements of a treatment plan are quality and delivery time. Quality of a plan… 
Effective heuristics for beam angle optimization in radiation therapy
Three novel heuristic approaches to reduce the computation time and find high-quality treatment plans for beam angle optimization (BAO) are proposed and evaluated by applying them to a mixed integer programming (MIP) formulation of BAO for a phantom liver case and a clinical liver case.
Optimization Problems in Radiation Therapy Treatment Planning.
This thesis studies four problems in radiation therapy treatment plan optimization and proposes a heuristic solution methodology for solving these problems.
Accelerated iterative beam angle selection in IMRT.
It is concluded that iterative BAS in combination with objective function surrogates can be a viable option to implement automated BAS at clinically acceptable computation times.
A Fast Deep Learning Approach for Beam Orientation Optimization for Prostate Cancer Treated with Intensity Modulated Radiation Therapy.
A fast beam orientation selection method based on a DNN that selects beam orientations in seconds is developed and is therefore suitable for clinical routines and may save hours of computation.
Simultaneous beam sampling and aperture shape optimization for SPORT.
The proposed method automatically determines the number of the stations required to generate a satisfactory plan and optimizes simultaneously the involved station parameters, leading to improved quality of the resultant treatment plans as compared with the conventional IMRT plans.
Shared data for intensity modulated radiation therapy (IMRT) optimization research: the CORT dataset
An open dataset is presented – the first of its kind – to the radiation oncology community, which will allow researchers to compare methods for optimizing radiation dose delivery.
A Fast Deep Learning Approach for Beam Orientation Optimization for Prostate Cancer IMRT Treatments.
The proposed DNN is a fast beam orientation selection method based on deep neural networks that selects beam orientations in seconds and is therefore suitable for clinical routines.
Author index with titles
  • Physics
  • 2013
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Optimal number of beams for stereotactic body radiotherapy of lung and liver lesions.
Computer optimization of noncoplanar beam setups improves stereotactic treatment of liver tumors.
Effectiveness of noncoplanar IMRT planning using a parallelized multiresolution beam angle optimization method for paranasal sinus carcinoma.
A case study comparing the relative benefit of optimizing beam weights, wedge angles, beam orientations and tomotherapy in stereotactic radiotherapy of the brain.
For the medium-sized convex tumour studied, the tomotherapy dose distribution showed a significant improvement on the standard plan, but no significant improvement over a conventional three-field plan where the beam orientations, beam weights and wedge angles had been optimized.
Simultaneous beam geometry and intensity map optimization in intensity-modulated radiation therapy.
Optimal Multileaf Collimator Leaf Sequencing in IMRT Treatment Planning
The first exact algorithm capable of solving real-world problem instances to optimality within practicable computational limits is developed, using a combination of integer programming decomposition and combinatorial search techniques.
HybridArc: a novel radiation therapy technique combining optimized dynamic arcs and intensity modulation.
Integer Programming Applied to Intensity-Modulated Radiation Therapy Treatment Planning
A mixed integer programming approach which allows optimization over beamlet fluence weights as well as beam and couch angles and which consistently provides superior tumor coverage and conformity, aswell as dose homogeneity within the tumor region while maintaining a low irradiation to important critical and normal tissues is offered.
Multicriteria VMAT optimization.
VMERGE offers significant improvements over existing VMAT algorithms, particularly in the multicriteria planning aspect, which greatly speeds up planning time and allows the user to select the plan, which represents the most desirable compromise between target coverage and organ at risk sparing.
Iterative solution methods for beam angle and fluence map optimization in intensity modulated radiation therapy planning
This work introduces iterative beam angle elimination algorithms in which an insignificant beam angle is eliminated in each iteration in order to reduce the computational burden for solving the optimization models.