UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Dual-energy computed tomography for proton radiotherapy

Bär, Esther; (2018) Dual-energy computed tomography for proton radiotherapy. Doctoral thesis (Ph.D), UCL (University College London). Green open access

[img]
Preview
Text
EBaer Final Thesis.pdf - Submitted version

Download (11MB) | Preview

Abstract

Proton therapy is an advanced form of cancer treatment. To use this precise technique to its full potential, a better understanding of the uncertainties involved in the treatment process and their mitigation is necessary. This thesis aims at the investigation, understanding, and improvement of three sources of range uncertainties: (i) CT imaging and conversion to tissue, (ii) mean excitation energies and (iii) lateral inhomogeneities in the irradiated object. To predict the range of the proton beam within the patient, knowledge of the tissues in the beam's path is required. Clinically, the required tissue characteristics are estimated using a single-energy CT (SECT) scan of the patient. In this work, the potential of dual-energy CT (DECT) to improve the estimation of tissue characteristics for proton therapy planning and the related uncertainty is shown in two steps. In a first study, several DECT approaches are compared in a theoretical study and their performance in realistic situations is evaluated. In a second study, DECT-predicted tissue characteristics are validated in an experimental setup using animal tissues. To understand the influence of the mean excitation energy (I-value) on the range uncertainty, elemental I-values for particle therapy planning are revisited and an uncertainty budget is established. This enables the estimation of stopping power and range uncertainties arising from I-values. The largest source of range uncertainties in particle therapy planning arises from lateral inhomogeneities in the irradiated body, introducing range degradation. Conventional dose calculation algorithms use ray tracing to calculate the beam range, leading to severe range uncertainties. Monte Carlo (MC) was demonstrated to reduce these uncertainties by accurately simulating particle transport in the patient geometry. In this work, the uncertainties arising from lateral inhomogeneities are investigated with both, ray tracing and MC techniques.

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Dual-energy computed tomography for proton radiotherapy
Event: UCL
Open access status: An open access version is available from UCL Discovery
Language: English
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10058090
Downloads since deposit
138Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item