Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Mary E. Finnegan"'
Autor:
Hayley M. Reynolds, Sirisha Tadimalla, Yu-Feng Wang, Maryam Montazerolghaem, Yu Sun, Scott Williams, Catherine Mitchell, Mary E. Finnegan, Declan G. Murphy, Annette Haworth
Publikováno v:
Cancer Imaging, Vol 22, Iss 1, Pp 1-14 (2022)
Abstract Background Biologically targeted radiation therapy treatment planning requires voxel-wise characterisation of tumours. Dynamic contrast enhanced (DCE) DCE MRI has shown promise in defining voxel-level biological characteristics. In this stud
Externí odkaz:
https://doaj.org/article/b1f3fe526b19409695718906c51a8bf7
Autor:
Hayley M Reynolds, Bimal K Parameswaran, Mary E Finnegan, Diana Roettger, Eddie Lau, Tomas Kron, Mark Shaw, Sarat Chander, Shankar Siva
Publikováno v:
PLoS ONE, Vol 13, Iss 8, p e0202387 (2018)
PURPOSE:To explore the utility of diffusion and perfusion changes in primary renal cell carcinoma (RCC) after stereotactic ablative body radiotherapy (SABR) as an early biomarker of treatment response, using diffusion weighted (DWI) and dynamic contr
Externí odkaz:
https://doaj.org/article/d9197a69d3264ad4a35985e3b9846c8c
Autor:
Rebecca A. Quest, L Honeyfield, C Favier, Mary E. Finnegan, Andrew N. Phillips, Alison H. McGregor
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering. 24:1310-1325
Musculoskeletal models of the lumbar spine have been developed with varying level of detail for a wide range of clinical applications. Providing consistency is ensured throughout the modelling approach, these models can be combined with other computa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6002e5a5109641bf868347d5ebd5c1a4
https://doi.org/10.1080/10255842.2021.1886284
https://doi.org/10.1080/10255842.2021.1886284
Autor:
Mary E. Finnegan, Matthew Grech-Sollars, Gregor Koerzdoerfer, Joely Smith, Ben K. Statton, Rebecca A. Quest
Purpose Before MR fingerprinting (MRF) can be adopted clinically, the derived quantitative values must be proven accurate and repeatable over a range of T1 and T2 values and temperatures. Correct assessment of accuracy and precision as well as compar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2ba8e0e56f5b90e6c7ffec023a1b77a
http://hdl.handle.net/10044/1/92851
http://hdl.handle.net/10044/1/92851
Autor:
Ben K, Statton, Joely, Smith, Mary E, Finnegan, Gregor, Koerzdoerfer, Rebecca A, Quest, Matthew, Grech-Sollars
Publikováno v:
Magnetic resonance in medicineREFERENCES. 87(3)
Before MR fingerprinting (MRF) can be adopted clinically, the derived quantitative values must be proven accurate and repeatable over a range of TThe International Society of MR in Medicine/National Institute of Standards and Technology phantom was s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a705ca3fe4d05a3546d02e8c9559f03d
https://pubmed.ncbi.nlm.nih.gov/34752644
https://pubmed.ncbi.nlm.nih.gov/34752644
Autor:
Rebecca A. Quest, Anthony M. J. Bull, Caitlin Edgar, David P. Henson, Biranavan Sivapuratharasu, Alison H. McGregor, Mary E. Finnegan, Peter Le Feuvre, Ziyun Ding
Amputation of a major limb, and the subsequent return to movement with a prosthesis, requires the development of compensatory strategies to account for the loss. Such strategies, over time, lead to regional muscle atrophy and hypertrophy through chro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed9741f1dccda4de8821561706356326
http://hdl.handle.net/10044/1/90811
http://hdl.handle.net/10044/1/90811
Autor:
Hayley M. Reynolds, Darren Wraith, Catherine Mitchell, Scott Williams, Yu Sun, Mary E. Finnegan, Declan G. Murphy, Martin A. Ebert, Annette Haworth
Publikováno v:
Australasian Physical & Engineering Sciences in Medicine. 40:39-49
The performance of a support vector machine (SVM) algorithm was investigated to predict prostate tumour location using multi-parametric MRI (mpMRI) data. The purpose was to obtain information of prostate tumour location for the implementation of bio-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a4d421e81abd5b90ea7460881c0e59b
https://doi.org/10.1007/s13246-016-0515-1
https://doi.org/10.1007/s13246-016-0515-1
Autor:
Declan G. Murphy, Scott Williams, Yu Sun, Darren Wraith, Hayley M. Reynolds, Catherine Mitchell, Mary E. Finnegan, Annette Haworth
Publikováno v:
Acta oncologica (Stockholm, Sweden). 58(8)
Background : Previous studies have identified apparent diffusion coefficient (ADC) from diffusion-weighted imaging (DWI) can stratify prostate cancer into high- and low-grade disease (HG and LG, respectively). In this study, we consider the improveme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c967668f2550904784c313e02b886d9
https://pubmed.ncbi.nlm.nih.gov/30994052
https://pubmed.ncbi.nlm.nih.gov/30994052
Autor:
Surya Rajan, Joanna F. Collingwood, Isolda Romero-Canelón, Jon Dobson, Naomi P. Visanji, Lili-Naz Hazrati, Emily House, Mary E. Finnegan, J. Frederick W. Mosselmans
Background\ud \ud Chemical imaging of the human brain has great potential for diagnostic and monitoring purposes. The heterogeneity of human brain iron distribution, and alterations to this distribution in Alzheimer’s disease, indicate iron as a po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd0ee7bcfaf0cdaa2d453fc85f4fd850
http://hdl.handle.net/10044/1/67914
http://hdl.handle.net/10044/1/67914
Autor:
Christian, Klemt, Daniel, Nolte, Ziyun, Ding, Lance, Rane, Rebecca A, Quest, Mary E, Finnegan, Miny, Walker, Peter, Reilly, Anthony M J, Bull
Publikováno v:
Annals of biomedical engineering. 47(4)
Linear scaling of generic shoulder models leads to substantial errors in model predictions. Customisation of shoulder modelling through magnetic resonance imaging (MRI) improves modelling outcomes, but model development is time and technology intensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::18457cb0a7c15fa50fb440c1e5f647a3
https://pubmed.ncbi.nlm.nih.gov/30680483
https://pubmed.ncbi.nlm.nih.gov/30680483