Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Gary P. Liney"'
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 16, Iss , Pp 130-133 (2020)
This paper describes the imaging performance of a high-field in-line MRI linear accelerator with a patient rotation system in-situ. Signal quality was quantified using signal-to-noise ratio (SNR) and RF uniformity maps. B0-field inhomogeneity was ass
Externí odkaz:
https://doaj.org/article/00f9a9d07ba44d06b84b635e1e1a6a3f
The integration of MRI in radiation therapy: collaboration of radiographers and radiation therapists
Autor:
Robba Rai, Shivani Kumar, Vikneswary Batumalai, Doaa Elwadia, Lucy Ohanessian, Ewa Juresic, Lynette Cassapi, Shalini K. Vinod, Lois Holloway, Paul J. Keall, Gary P. Liney
Publikováno v:
Journal of Medical Radiation Sciences, Vol 64, Iss 1, Pp 61-68 (2017)
Abstract The increased utilisation of magnetic resonance imaging (MRI) in radiation therapy (RT) has led to the implementation of MRI simulators for RT treatment planning and influenced the development of MRI‐guided treatment systems. There is exte
Externí odkaz:
https://doaj.org/article/91da80700e6d4f4b809ea714d27d9aad
Autor:
Robba Rai, David Thwaites, Peter B. Greer, Jason Dowling, Tony Young, Gary P Liney, Lois Holloway
Publikováno v:
Physical and Engineering Sciences in Medicine. 44:799-807
The introduction of MRI linear accelerators (MR-linacs) and the increased use of MR imaging in radiotherapy, requires improved approaches to MRI-only radiotherapy. MRI provides excellent soft tissue visualisation but does not provide any electron den
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f731423ed872aacc1f56c5509b9b575
https://doi.org/10.1007/s13246-021-01031-0
https://doi.org/10.1007/s13246-021-01031-0
Autor:
R. Rai, J. Goodwin, Gary P Liney, Annette Haworth, Lois Holloway, S. Foster, Sirisha Tadimalla, Yufeng Wang
Publikováno v:
Magnetic Resonance Imaging. 77:169-179
Quantitative MRI (qMRI) parameters have been increasingly used to develop predictive models to accurately monitor treatment response in prostate cancer after radiotherapy. To reliably detect changes in signal due to treatment response, predictive mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bf8d6c3fadf68a3c3c7c9f646925242
https://doi.org/10.1016/j.mri.2020.12.018
https://doi.org/10.1016/j.mri.2020.12.018
Autor:
Minh Xuan Truong, Michael Barton, Joo-Shik Shin, Gary P Liney, Petra L. Graham, Robba Rai, Trang Pham, Christopher Henderson, Karen Wong, Malcolm Hudson, Nira Borok, Mark T Lee
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 18, Iss, Pp 26-33 (2021)
Physics and Imaging in Radiation Oncology
Physics and Imaging in Radiation Oncology
Highlights • Diffusion weighted imaging of heterogeneity can aid selection for ‘watch-and-wait’. • Apparent diffusion coefficient 75th and 90th quantiles were predictive of response. • Dynamic contrast enhanced imaging did not add value in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b751588ec583855a67b0dd236f21048
https://doi.org/10.1016/j.phro.2021.03.003
https://doi.org/10.1016/j.phro.2021.03.003
Autor:
R. Rai, Paul J. Keall, Jason Dowling, Peter E Metcalfe, Gary P Liney, Lois Holloway, Jarryd G. Buckley, Mark Sidhom
Publikováno v:
Medical Physics
Purpose: Gantry-free radiation therapy systems utilizing patient rotation would be simpler and more cost effective than the conventional gantry-based systems. Such a system could enable the expansion of radiation therapy to meet global demand and red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e8b080ef59e3f05c95cc46eead85001
https://doi.org/10.1002/mp.14579
https://doi.org/10.1002/mp.14579
Publikováno v:
Physics and Imaging in Radiation Oncology
Physics and Imaging in Radiation Oncology, Vol 16, Iss, Pp 130-133 (2020)
Physics and Imaging in Radiation Oncology, Vol 16, Iss, Pp 130-133 (2020)
This paper describes the imaging performance of a high-field in-line MRI linear accelerator with a patient rotation system in-situ. Signal quality was quantified using signal-to-noise ratio (SNR) and RF uniformity maps. B0-field inhomogeneity was ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd800c68f1809633949739da608e64f3
http://europepmc.org/articles/PMC7807630
http://europepmc.org/articles/PMC7807630
Autor:
Michael Barton, Lois Holloway, Gary P Liney, Rasmus Lübeck Christiansen, Carsten Brink, Robba Rai, Yu Sun, Matthew Field
Publikováno v:
Rai, R, Holloway, L C, Brink, C, Field, M, Christiansen, R L, Sun, Y, Barton, M B & Liney, G P 2020, ' Multicenter evaluation of MRI-based radiomic features : A Phantom Study ', Medical Physics, vol. 47, no. 7, pp. 3054-3063 . https://doi.org/10.1002/mp.14173
INTRODUCTION: This work describes the development of a novel radiomics phantom designed for magnetic resonance imaging (MRI) that can be used in a multicenter setting. The purpose of this study is to assess the stability and reproducibility of MRI-ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9db17bc1cfd5c5b94fd53096dfeb3977
https://doi.org/10.1002/mp.14173
https://doi.org/10.1002/mp.14173
Autor:
Amy Walker, Fangfang Tang, Deming Wang, Stuart Crozier, Shanshan Shan, Gary P Liney, Lois Holloway, Huan Ma, Mingyan Li, Qiuliang Wang, Yaohui Wang, Feng Liu, Ewald Weber
Publikováno v:
Medical Physics. 47:1126-1138
The magnetic resonance imaging (MRI)-Linac system combines a MRI scanner and a linear accelerator (Linac) to realize real-time localization and adaptive radiotherapy for tumors. Given that the Australian MRI-Linac system has a 30-cm diameter of spher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f83ed9b118532fe0f8b9baba46bee280
https://doi.org/10.1002/mp.13979
https://doi.org/10.1002/mp.13979
Autor:
Robba Rai, Michael B. Barton, Phillip Chlap, Gary P. Liney, Carsten Brink, Shalini Vinod, Monique Heinke, Yuvnik Trada, Lois C. Holloway
Radiomics of magnetic resonance images (MRI) in rectal cancer can non-invasively characterise tumour heterogeneity with potential to discover new imaging biomarkers. However, for radiomics to be reliable; the imaging features measured must be stable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ca5e73ebd3aa7a860de7ff215ff55f1
https://doi.org/10.21203/rs.3.rs-1105008/v1
https://doi.org/10.21203/rs.3.rs-1105008/v1
