G
Gary Royle
Researcher at University College London
Publications - 160
Citations - 2694
Gary Royle is an academic researcher from University College London. The author has contributed to research in topics: Pixel & Image resolution. The author has an hindex of 24, co-authored 160 publications receiving 2322 citations. Previous affiliations of Gary Royle include University College London Hospitals NHS Foundation Trust.
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Journal ArticleDOI
Toward adaptive radiotherapy for head and neck patients: Feasibility study on using CT-to-CBCT deformable registration for "dose of the day" calculations.
C. Veiga,Jamie R. McClelland,S. Moinuddin,Ana Lourenço,K Ricketts,J Annkah,Marc Modat,Sebastien Ourselin,Derek D'Souza,Gary Royle +9 more
TL;DR: Deforming a planning CT to match a daily CBCT provides the tools needed for the calculation of the "dose of the day" without the need to acquire a new CT, and was clearly superior to rigid registration in mapping identical structures between the two datasets.
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X-ray scatter signatures for normal and neoplastic breast tissues
TL;DR: It has been found that tissue types can be characterized on the basis of the shape of the scatter spectrum and on its relative intensity, and suggests that if particular values of momentum transfer are monitored, a discriminating signal could be obtained.
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First Clinical Investigation of Cone Beam Computed Tomography and Deformable Registration for Adaptive Proton Therapy for Lung Cancer.
C. Veiga,Guillaume Janssens,Ching Ling Teng,Thomas Baudier,L. Hotoiu,Jamie R. McClelland,Gary Royle,Liyong Lin,Lingshu Yin,James M. Metz,Timothy D. Solberg,Zelig Tochner,Charles B. Simone,James McDonough,Boon-Keng Kevin Teo +14 more
TL;DR: A proton therapy workflow based on CBCT provided clinical indicators similar to those using rCT for patients with lung cancer with considerable anatomic changes and performed well under different clinical scenarios, including atelectasis, lung reinflation, and different types of tumor response.
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The potential of dual-energy CT to reduce proton beam range uncertainties.
TL;DR: DECT has a clear potential to improve proton beam range predictions over SECT in proton therapy, but in the current state high levels of noise remain problematic for DECT characterization methods and do not allow getting the full benefits of this technology.
Journal ArticleDOI
Toward adaptive radiotherapy for head and neck patients: Uncertainties in dose warping due to the choice of deformable registration algorithm.
C. Veiga,Ana Lourenço,Syed Mouinuddin,Marcel van Herk,Marc Modat,Sebastien Ourselin,Gary Royle,Jamie R. McClelland +7 more
TL;DR: In spite of all methods resulting in comparable geometrical matching, the choice of DIR implementation leads to uncertainties in dose warped, particularly in regions of high gradient and/or poor imaging quality.