Quantitative Magnetic Resonance Imaging in Perianal Crohn’s Disease at 1.5 and 3.0 T: A Feasibility Study

Autor: Ali Alyami, Caroline L. Hoad, Christopher Tench, Uday Bannur, Christopher Clarke, Khalid Latief, Konstantinos Argyriou, Alan Lobo, Philip Lung, Rachel Baldwin-Cleland, Kapil Sahnan, Ailsa Hart, Jimmy K. Limdi, John Mclaughlin, David Atkinson, Geoffrey J. M. Parker, James P. B. O’Connor, Ross A. Little, Penny A. Gowland, Gordon W. Moran

Publikováno v: Diagnostics, Vol 11, Iss 11, p 2135 (2021)

Perianal Crohn’s Disease (pCD) is a common manifestation of Crohn’s Disease. Absence of reliable disease measures makes disease monitoring unreliable. Qualitative MRI has been increasingly used for diagnosing and monitoring pCD and has shown pote

Externí odkaz: https://doaj.org/article/74ba319f25de4b3fae15fcb087fe6c40

Bias, Repeatability and Reproducibility of Liver T

Autor: Sirisha, Tadimalla, Daniel J, Wilson, David, Shelley, Gavin, Bainbridge, Margaret, Saysell, Iosif A, Mendichovszky, Martin J, Graves, J Ashley, Guthrie, John C, Waterton, Geoffrey J M, Parker, Steven P, Sourbron

Publikováno v: Journal of magnetic resonance imaging : JMRI. 56(4)

Three-dimensional variable flip angle (VFA) methods are commonly used for TTo measure bias, repeatability, and reproducibility of VFA TProspective observational.Eight healthy volunteers, four women, with no known liver disease.1.5-T and 3.0-T; three-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::6d255e02976392095e9845b40f419f79
https://pubmed.ncbi.nlm.nih.gov/35229392

The challenges of deploying artificial intelligence models in a rapidly evolving pandemic

Autor: John R. Hurst, Yipeng Hu, David J. Hawkes, Geoffrey J. M. Parker, Joseph Jacob, Danail Stoyanov

Publikováno v: Nature Machine Intelligence. 2:298-300

The COVID-19 pandemic, caused by the severe acute respiratory syndrome coronavirus 2, emerged into a world being rapidly transformed by artificial intelligence (AI) based on big data, computational power and neural networks. The gaze of these network

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdee28c732f5fe00e272469d65924cba
https://doi.org/10.1038/s42256-020-0185-2

Diffusion model comparison identifies distinct tumor sub-regions and tracks treatment response

Autor: Geoffrey J. M. Parker, Damien J. McHugh, James P B O'Connor, Grazyna Lipowska-Bhalla, Muhammad Babur, Kaye J. Williams, Hitesh Mistry, Jamie Honeychurch, Penny L. Hubbard Cristinacce, Isabel Peset, Yvonne Watson, Josephine H. Naish

Publikováno v: Magnetic Resonance in Medicine
McHugh, D J, Lipowska-Bhalla, G, Babur, M, Watson, Y, Peset, I, Mistry, H B, Hubbard Cristinacce, P L, Naish, J H, Honeychurch, J, Williams, K J, O'Connor, J P B & Parker, G J M 2020, ' Diffusion model comparison identifies distinct tumor sub-regions and tracks treatment response ', Magnetic Resonance in Medicine . https://doi.org/10.1002/mrm.28196

PURPOSE: MRI biomarkers of tumor response to treatment are typically obtained from parameters derived from a model applied to pre-treatment and post-treatment data. However, as tumors are spatially and temporally heterogeneous, different models may b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f68ff11f4807673707b2db6d8fb3fdb0
https://pubmed.ncbi.nlm.nih.gov/32057115

Microstructural imaging of the human brain with a ‘super-scanner’:10 key advantages of ultra-strong gradients for diffusion MRI

Autor: Geoffrey J. M. Parker, S. Umesh Rudrapatna, Karla L. Miller, Richard Bowtell, Marco Palombo, Daniel C. Alexander, Chantal M. W. Tax, Damien J. McHugh, Derek K. Jones, Flavio Dell'Acqua, Mara Cercignani

Publikováno v: Jones, D K, Alexander, D C, Bowtell, R, Cercignani, M, Dell'Acqua, F, McHugh, D J, Miller, K L, Palombo, M, Parker, G J M, Rudrapatna, U S & Tax, C M W 2018, ' Microstructural imaging of the human brain with a ‘super-scanner’ : 10 key advantages of ultra-strong gradients for diffusion MRI ', NeuroImage, vol. 182, pp. 8-38 . https://doi.org/10.1016/j.neuroimage.2018.05.047
Jones, D K, Alexander, D C, Bowtell, R, Cercignani, M, Dell'acqua, F, Mchugh, D J, Miller, K L, Palombo, M, Parker, G J M, Rudrapatna, U S & Tax, C M W 2018, ' Microstructural imaging of the human brain with a ‘super-scanner’: 10 key advantages of ultra-strong gradients for diffusion MRI ', NeuroImage, vol. 182, pp. 8-38 . https://doi.org/10.1016/j.neuroimage.2018.05.047

The key component of a microstructural diffusion MRI 'super-scanner' is a dedicated high-strength gradient system that enables stronger diffusion weightings per unit time compared to conventional gradient designs. This can, in turn, drastically short

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b09970d63688d4c71411c7e75719d3c
https://kclpure.kcl.ac.uk/en/publications/ace127c8-3bb7-4807-94d0-65a5608113de