Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Marc E. Miquel"'
Publikováno v:
Journal of Imaging, Vol 6, Iss 9, p 86 (2020)
Dynamic and real-time MRI (rtMRI) of human speech is an active field of research, with interest from both the linguistics and clinical communities. At present, different research groups are investigating a range of rtMRI acquisition and reconstructio
Externí odkaz:
https://doaj.org/article/e7e8d3d47d63413d9247f12ac01f9f45
Publikováno v:
Journal of Imaging, Vol 3, Iss 3, p 28 (2017)
A cost-effective regularly structured three-dimensional (3D) printed grid phantom was developed to enable the quantification of machine-related magnetic resonance (MR) distortion. This phantom contains reference features, “point-like” objects, or
Externí odkaz:
https://doaj.org/article/d68a5d94e5d0482ea07a709fd56e0bfc
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract The human voice carries socially relevant information such as how authoritative, dominant, and attractive the speaker sounds. However, some speakers may be able to manipulate listeners by modulating the shape and size of their vocal tract to
Externí odkaz:
https://doaj.org/article/74bdd1b87b884dbf9332bb2964af6008
Publikováno v:
Ruthven, M, Miquel, M E & King, A P 2023, ' A Segmentation-informed Deep Learning Framework to Register Dynamic Two-dimensional Magnetic Resonance Images of the Vocal Tract During Speech ', Biomedical Signal Processing and Control, vol. 80, no. 1, 104290 . https://doi.org/10.1016/j.bspc.2022.104290
ObjectiveDynamic magnetic resonance (MR) imaging enables visualisation of articulators during speech. There is growing interest in quantifying articulator motion in two-dimensional MR images of the vocal tract, to better understand speech production
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aee3c9a654bede16952523d3b472e16c
https://kclpure.kcl.ac.uk/ws/files/188017609/A_segmentation_informed_deep_RUTHVEN_Publishedonline4November2022_GOLD_VoR_CC_BY_.pdf
https://kclpure.kcl.ac.uk/ws/files/188017609/A_segmentation_informed_deep_RUTHVEN_Publishedonline4November2022_GOLD_VoR_CC_BY_.pdf
Autor:
Amy R. McDowell, Natalia Petrova, Daniele Carassiti, Marc E. Miquel, David L. Thomas, Gareth J. Barker, Klaus Schmierer, Tobias C. Wood
Publikováno v:
Magnetic resonance in medicine. 87(6)
Validation of quantitative MR measures for myelin imaging in the postmortem multiple sclerosis spinal cord.Four fixed spinal cord samples were imaged first with a 3T clinical MR scanner to identify areas of interest for scanning, and then with a 7T s
Autor:
Imene Zerizer, Hikmat Jan, Petra Balogh, Marc E. Miquel, Mohammed Thaha, Arman Parsai, Ewa Nowosinska, Adrian Kastler, Sana Subhan
Publikováno v:
Clinical nuclear medicine. 46(10)
AIM The study aims to assess minimal apparent diffusion coefficient (ADCmin) and SUVmax as predictors of histological differentiation in patients with anal squamous cell carcinoma (ASCC) and to determine cutoff values for each histopathological tumor
Publikováno v:
Clinical Imaging. 55:23-28
Aim To compare retrospectively fused FDG PET/CT and MRI (PET/MRI) to FDG PET/CT and MRI for characterisation of indeterminate focal liver lesions as malignant or benign in patients with a known primary malignancy. Materials and method A retrospective
Autor:
Gary Cook, William R. Wilson, Pierre L. Martin-Hirsch, Naveena Singh, Sudha Sundar, Tara Barwick, Andrea Rockall, Dow-Mu Koh, Katja N. De Paepe, Christina Fotopoulou, Marielle Nobbenhuis, Victoria Warbey, Nishat Bharwani, Anju Sahdev, Aslam Sohaib, Marc E. Miquel, Helen F. Stringfellow, Allan Hackshaw, Ranjit Manchanda, Sadaf Ghaem-Maghami
Publikováno v:
Clinical cancer research : an official journal of the American Association for Cancer Research. 27(23)
Purpose: Preoperative nodal staging is important for planning treatment in cervical cancer and endometrial cancer, but remains challenging. We compare nodal staging accuracy of 18F-ethyl-choline-(FEC)-PET/CT, 18F-fluoro-deoxy-glucose-(FDG)-PET/CT, an
Publikováno v:
Computer Methods and Programs in Biomedicine
Highlights • A method to segment the vocal tract and articulators in MR images was developed. • Median accuracy: Dice coefficient of 0.92; general Hausdorff distance of 5mm. • Developed to facilitate quantitative analysis of the vocal tract and
Publikováno v:
Journal of Imaging
Volume 6
Issue 9
Journal of Imaging, Vol 6, Iss 86, p 86 (2020)
Volume 6
Issue 9
Journal of Imaging, Vol 6, Iss 86, p 86 (2020)
Dynamic and real-time MRI (rtMRI) of human speech is an active field of research, with interest from both the linguistics and clinical communities. At present, different research groups are investigating a range of rtMRI acquisition and reconstructio