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Spatially Modulated Dose Optimizatio...

Stewart, James Michael Patrick.

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Spatially Modulated Dose Optimization and Performance Limitations with Robust Targeting Performance for Preclinical Irradiation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Spatially Modulated Dose Optimization and Performance Limitations with Robust Targeting Performance for Preclinical Irradiation./
Author:	Stewart, James Michael Patrick.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	138 p.
Notes:	Source: Dissertations Abstracts International, Volume: 80-06, Section: B.
Contained By:	Dissertations Abstracts International80-06B.
Subject:	Mathematics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10937075
ISBN:	9780438684164

Spatially Modulated Dose Optimization and Performance Limitations with Robust Targeting Performance for Preclinical Irradiation.
Stewart, James Michael Patrick.

Spatially Modulated Dose Optimization and Performance Limitations with Robust Targeting Performance for Preclinical Irradiation. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 138 p.

Source: Dissertations Abstracts International, Volume: 80-06, Section: B.

Thesis (Ph.D.)--University of Toronto (Canada), 2018.

This item must not be sold to any third party vendors.

The flexibility and sophistication of modern external beam radiotherapy treatment planning and delivery methods have advanced techniques to improve the therapeutic ratio. Contemporary dose optimization and calculation algorithms facilitate radiotherapy plans which closely conform the three-dimensional dose distribution to the target, with beam shaping devices and image guided field targeting ensuring the rigor and accuracy of treatment delivery. In general, such advances outpaced the technical ability of preclinical systems to faithfully reproduce the clinical capabilities at the scale required for robust small animal or radiobiological investigations. Evidence for sophisticated, and potentially efficacious, new clinical treatment strategies could not always be gathered from preclinical data owing to the improbability of rigorously scaling the proposed technique to the fidelity required for small animal studies. Within the past decade, several groups have developed dedicated small animal irradiator platforms to redress this imbalance. Such systems are commonly based on on-board computed tomography (CT) approaches to facilitate visualization and radiation targeting with interchangeable collimators incorporating field sizes on the millimeter scale. The integration of these capabilities has laid the foundation for precisely modulating and accurately targeting radiation dose for intricate preclinical studies, but algorithms and methods to do so remain in their infancy. In this thesis, we advance techniques to robustly optimize and accurately deliver spatially varying dose distributions for small animal or radiobiological research. An optimization framework based on empirically measured dose kernel measurements is first developed. The native targeting uncertainty of the microirradiator is then rigorously quantified and an online method to ensure high performance targeting accuracy for all radiation field sizes is demonstrated. Finally, it is proven that the underlying spatial frequency content of a dose kernel fundamentally limits the achievable degree of spatial modulation. This result is refined to define a lower bound in the minimization of a dose optimization objective function and provide a direct, analytic method to estimate the result of such an optimization. The combined results demonstrate that the optimization of complex dose distributions can be quickly estimated, iteratively refined, and automatically delivered with millimetre scale modulation at an accuracy of a tenth of a millimetre.

ISBN: 9780438684164Subjects--Topical Terms:

515831
Mathematics.

Spatially Modulated Dose Optimization and Performance Limitations with Robust Targeting Performance for Preclinical Irradiation.
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502 $a Thesis (Ph.D.)--University of Toronto (Canada), 2018.
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520 $a The flexibility and sophistication of modern external beam radiotherapy treatment planning and delivery methods have advanced techniques to improve the therapeutic ratio. Contemporary dose optimization and calculation algorithms facilitate radiotherapy plans which closely conform the three-dimensional dose distribution to the target, with beam shaping devices and image guided field targeting ensuring the rigor and accuracy of treatment delivery. In general, such advances outpaced the technical ability of preclinical systems to faithfully reproduce the clinical capabilities at the scale required for robust small animal or radiobiological investigations. Evidence for sophisticated, and potentially efficacious, new clinical treatment strategies could not always be gathered from preclinical data owing to the improbability of rigorously scaling the proposed technique to the fidelity required for small animal studies. Within the past decade, several groups have developed dedicated small animal irradiator platforms to redress this imbalance. Such systems are commonly based on on-board computed tomography (CT) approaches to facilitate visualization and radiation targeting with interchangeable collimators incorporating field sizes on the millimeter scale. The integration of these capabilities has laid the foundation for precisely modulating and accurately targeting radiation dose for intricate preclinical studies, but algorithms and methods to do so remain in their infancy. In this thesis, we advance techniques to robustly optimize and accurately deliver spatially varying dose distributions for small animal or radiobiological research. An optimization framework based on empirically measured dose kernel measurements is first developed. The native targeting uncertainty of the microirradiator is then rigorously quantified and an online method to ensure high performance targeting accuracy for all radiation field sizes is demonstrated. Finally, it is proven that the underlying spatial frequency content of a dose kernel fundamentally limits the achievable degree of spatial modulation. This result is refined to define a lower bound in the minimization of a dose optimization objective function and provide a direct, analytic method to estimate the result of such an optimization. The combined results demonstrate that the optimization of complex dose distributions can be quickly estimated, iteratively refined, and automatically delivered with millimetre scale modulation at an accuracy of a tenth of a millimetre.
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