Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Rhodri L. Smith"'
Texture analysis for quantification of intratumor uptake heterogeneity in PET/CT images has received increasing attention. This allows the extraction of a large number of ‘radiomic’ features to be correlated with end point information such as tum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ead21cec2ebabfaf81e858539af3323d
Publikováno v:
IEEE Transactions on Radiation and Plasma Medical Sciences. 3:410-420
Respiratory motion degrades quantitative and qualitative analysis of medical images. Estimation and, hence, correction of motion commonly uses static correspondence models between an external surrogate signal and internal motion. This paper presents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da231fa229f9b5d5b6e6ce0864de837a
https://doi.org/10.1109/trpms.2018.2879441
https://doi.org/10.1109/trpms.2018.2879441
Publikováno v:
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Previously, we have shown that an image location, size, or even constant attenuation factor may be estimated by deep learning from the images Radon transformed representation. In this project, we go a step further to estimate a few other mathematical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::333e553f1b21607bf376559cce1c8fd6
https://doi.org/10.1109/nss/mic42677.2020.9507793
https://doi.org/10.1109/nss/mic42677.2020.9507793
Autor:
Emad Alsyed, Lee Bartley, Christopher Marshall, Rhodri L. Smith, Hannah L. Chandler, Patrick Fielding
Publikováno v:
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Positron Emission Tomography imaging (PET) with 18F-fluoro-2-deoxyglucose (FDG) is a well established method to image brain glucose metabolism in healthy and disease states with application areas in neuro-degenerative and seizure disorders. Epilepsy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19213a6a3087dfee9ce084c144b2e395
https://doi.org/10.1109/nss/mic42677.2020.9507980
https://doi.org/10.1109/nss/mic42677.2020.9507980
Autor:
Ian Ackerley, Lee Bartley, Christopher Marshall, Stephen J. Paisey, Kevin Wells, Rhodri L. Smith
Publikováno v:
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Nuclear Medicine (NM) Imaging serves as a powerful technique in visualizing radio-pharmaceutically targeted physiological processes allowing non-invasive monitoring of disease, it’s progression and therapy response. Positron Emission Tomography (PE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0d81a715ad93bc635bed34afaa1bbf2
https://doi.org/10.1109/nss/mic42101.2019.9060031
https://doi.org/10.1109/nss/mic42101.2019.9060031
Autor:
Emma Lewis, Rhodri L. Smith, Vineet Prakash, Ian Ackerley, James Scuffham, Kevin Wells, Emilio Spezi, Mark D. Halling-Brown
Publikováno v:
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
PET-CT scans using 18F-FDG with a co-registered CT scan are increasingly used to detect cancer. This paper compares deep learning-based lesion detection tools trained on PET, CT and combined modality data. 486 pre-contoured scans were used from a ret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e952d67b63477cd75054838177c4ce2
https://doi.org/10.1109/nss/mic42101.2019.9059833
https://doi.org/10.1109/nss/mic42101.2019.9059833
Autor:
James Scuffham, Ian Ackerley, Kevin Wells, Rhodri L. Smith, Vineet Prakash, Emiliano Spezi, Mark D. Halling-Brown, Emma Lewis
Publikováno v:
Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
PET-CT scans using 18F-FDG are increasingly used to detect cancer, but interpretation can be challenging due to non-specific uptake and complex anatomical structures nearby. To aide this process, we investigate the potential of automated detection of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b646d1f20c5074a913f4022556b005d
https://doi.org/10.1117/12.2511738
https://doi.org/10.1117/12.2511738
Publikováno v:
Physics in Medicine & Biology. 64:205023
There are many applications for which sparse, or partial sampling of dynamic image data can be used for articulating or estimating motion within the medical imaging area. In this new work, we propose a generalized framework for dense motion propagati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3844d5010d6c3e7e8f30b43d639537a6
https://doi.org/10.1088/1361-6560/ab41a0
https://doi.org/10.1088/1361-6560/ab41a0
Autor:
Michael Conlon O'Donovan, Michael John Owen, Rhodri L. Smith, Alexander Richards, Sarah Dwyer, Hywel Williams, Deborah Knight, George Kirov
Publikováno v:
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics. 156:532-535
A recent study reported a genome-wide significant association between schizophrenia and rs12807809-a SNP located approximately 3 kbp upstream of the neurogranin gene (NRGN). We sought to determine if (a) NRGN contains common exonic variants or varian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a2adb6cf4adf199418a5b8223ee436b
https://doi.org/10.1002/ajmg.b.31191
https://doi.org/10.1002/ajmg.b.31191
Autor:
D Burden, Richard B. Warren, Jonathan Barker, Adrian Hayday, Ulrike Hüffmeier, Jerry S. Lanchbury, Michael H. Allen, M. Quaranta, Helen S. Young, Victor Abkevich, Rhodri L. Smith, Frank O. Nestle, Natalie Wolf, Richard C. Trembath, Marie José Bijlmakers, Kirsten Timms, Alexander Gutin, Christopher E.M. Griffiths, André Reis, Jane Worthington, Francesca Capon
Publikováno v:
Human Molecular Genetics. 17:1938-1945
Psoriasis is an immune-mediated skin disorder that is inherited as a multifactorial trait. Linkage studies have clearly identified a primary disease susceptibility locus lying within the major histocompatibility complex (MHC), but have generated conf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7a935f969d86e8ccc3f79bbe49f9575
https://doi.org/10.1093/hmg/ddn091
https://doi.org/10.1093/hmg/ddn091