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The Influence of Dose Grid Resolution on Beam Selection Strategies in Radiotherapy Treatment Design

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The Influence of Dose Grid Resolution on Beam Selection Strategies in Radiotherapy Treatment Design. / Acosta, A.; Ehrgott, Matthias; Holder, Allen et al.
Optimization in medicine . ed. / Carlos J. S. Alves; P. M. Pardalos; L. N. Vicente. New York: Springer, 2008. p. 25-46 (Springer series in optimization and its applications; Vol. 12).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

Acosta, A, Ehrgott, M, Holder, A, Nevin, D, Reese, J & Salter, B 2008, The Influence of Dose Grid Resolution on Beam Selection Strategies in Radiotherapy Treatment Design. in CJS Alves, PM Pardalos & LN Vicente (eds), Optimization in medicine . Springer series in optimization and its applications, vol. 12, Springer, New York, pp. 25-46. https://doi.org/10.1007/978-0-387-73299-2_1

APA

Acosta, A., Ehrgott, M., Holder, A., Nevin, D., Reese, J., & Salter, B. (2008). The Influence of Dose Grid Resolution on Beam Selection Strategies in Radiotherapy Treatment Design. In C. J. S. Alves, P. M. Pardalos, & L. N. Vicente (Eds.), Optimization in medicine (pp. 25-46). (Springer series in optimization and its applications; Vol. 12). Springer. https://doi.org/10.1007/978-0-387-73299-2_1

Vancouver

Acosta A, Ehrgott M, Holder A, Nevin D, Reese J, Salter B. The Influence of Dose Grid Resolution on Beam Selection Strategies in Radiotherapy Treatment Design. In Alves CJS, Pardalos PM, Vicente LN, editors, Optimization in medicine . New York: Springer. 2008. p. 25-46. (Springer series in optimization and its applications). doi: 10.1007/978-0-387-73299-2_1

Author

Acosta, A. ; Ehrgott, Matthias ; Holder, Allen et al. / The Influence of Dose Grid Resolution on Beam Selection Strategies in Radiotherapy Treatment Design. Optimization in medicine . editor / Carlos J. S. Alves ; P. M. Pardalos ; L. N. Vicente. New York : Springer, 2008. pp. 25-46 (Springer series in optimization and its applications).

Bibtex

@inbook{7388a6fb209740a5a58495a60ed0ed8d,
title = "The Influence of Dose Grid Resolution on Beam Selection Strategies in Radiotherapy Treatment Design",
abstract = "The design of a radiotherapy treatment includes the selection of beam angles (geometry problem), the computation of a fluence pattern for each selected beam angle (intensity problem), and finding a sequence of configurations of a multileaf collimator to deliver the treatment (realization problem). While many mathematical optimization models and algorithms have been proposed for the intensity problem and (to a lesser extent) the realization problem, this is not the case for the geometry problem. In clinical practice, beam directions are manually selected by a clinician and are typically based on the clinician{\textquoteright}s experience. Solving the beam selection problem optimally is beyond the capability of current optimization algorithms and software. However, heuristic methods have been proposed. In this paper we study the influence of dose grid resolution on the performance of these heuristics for a clinical case. Dose grid resolution refers to the spatial arrangement and size of dose calculation voxels. In particular, we compare the solutions obtained by the heuristics with those achieved by a clinician using a commercial planning system. Our results show that dose grid resolution has a considerable influence on the performance of most heuristics.",
author = "A. Acosta and Matthias Ehrgott and Allen Holder and D. Nevin and Josh Reese and B. Salter",
year = "2008",
doi = "10.1007/978-0-387-73299-2_1",
language = "English",
isbn = "978-0-387-73298-5",
series = "Springer series in optimization and its applications",
publisher = "Springer",
pages = "25--46",
editor = "Alves, {Carlos J. S.} and Pardalos, {P. M.} and Vicente, {L. N.}",
booktitle = "Optimization in medicine",

}

RIS

TY - CHAP

T1 - The Influence of Dose Grid Resolution on Beam Selection Strategies in Radiotherapy Treatment Design

AU - Acosta, A.

AU - Ehrgott, Matthias

AU - Holder, Allen

AU - Nevin, D.

AU - Reese, Josh

AU - Salter, B.

PY - 2008

Y1 - 2008

N2 - The design of a radiotherapy treatment includes the selection of beam angles (geometry problem), the computation of a fluence pattern for each selected beam angle (intensity problem), and finding a sequence of configurations of a multileaf collimator to deliver the treatment (realization problem). While many mathematical optimization models and algorithms have been proposed for the intensity problem and (to a lesser extent) the realization problem, this is not the case for the geometry problem. In clinical practice, beam directions are manually selected by a clinician and are typically based on the clinician’s experience. Solving the beam selection problem optimally is beyond the capability of current optimization algorithms and software. However, heuristic methods have been proposed. In this paper we study the influence of dose grid resolution on the performance of these heuristics for a clinical case. Dose grid resolution refers to the spatial arrangement and size of dose calculation voxels. In particular, we compare the solutions obtained by the heuristics with those achieved by a clinician using a commercial planning system. Our results show that dose grid resolution has a considerable influence on the performance of most heuristics.

AB - The design of a radiotherapy treatment includes the selection of beam angles (geometry problem), the computation of a fluence pattern for each selected beam angle (intensity problem), and finding a sequence of configurations of a multileaf collimator to deliver the treatment (realization problem). While many mathematical optimization models and algorithms have been proposed for the intensity problem and (to a lesser extent) the realization problem, this is not the case for the geometry problem. In clinical practice, beam directions are manually selected by a clinician and are typically based on the clinician’s experience. Solving the beam selection problem optimally is beyond the capability of current optimization algorithms and software. However, heuristic methods have been proposed. In this paper we study the influence of dose grid resolution on the performance of these heuristics for a clinical case. Dose grid resolution refers to the spatial arrangement and size of dose calculation voxels. In particular, we compare the solutions obtained by the heuristics with those achieved by a clinician using a commercial planning system. Our results show that dose grid resolution has a considerable influence on the performance of most heuristics.

U2 - 10.1007/978-0-387-73299-2_1

DO - 10.1007/978-0-387-73299-2_1

M3 - Chapter

SN - 978-0-387-73298-5

T3 - Springer series in optimization and its applications

SP - 25

EP - 46

BT - Optimization in medicine

A2 - Alves, Carlos J. S.

A2 - Pardalos, P. M.

A2 - Vicente, L. N.

PB - Springer

CY - New York

ER -