1105 MR imaging sequences and clinical validation of a technique for respiratory motion correction in XMR-guided cardiac catheterisations

Autor: King Andrew P, Boubertakh Redha, Rhode Kawal S, Ma Ying-Liang, Chinchapatnam Phani, Gao Gang, Tangcharoen Tarinee, Ginks Matthew, Hawkes David J, Razavi Reza, Schaeffter Tobias

Publikováno v: Journal of Cardiovascular Magnetic Resonance, Vol 10, Iss Suppl 1, p A230 (2008)

Externí odkaz: https://doaj.org/article/a39eb42f2aa94521855994b4cf5cc59d

Surface flattening of the human left atrium and proof-of-concept clinical applications

Autor: Karim, Rashed, Ma, YingLiang, Jang, Munjung, Housden, R. James, Williams, Steven E., Chen, Zhong, Ataollahi, Asghar, Althoefer, Kaspar, Rinaldi, C. Aldo, Razavi, Reza, O’Neill, Mark D., Schaeftter, Tobias, Rhode, Kawal S.

Publikováno v: In Computerized Medical Imaging and Graphics June 2014 38(4):251-266

A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions

Autor: Peressutti, Devis, Penney, Graeme P., Housden, R. James, Kolbitsch, Christoph, Gomez, Alberto, Rijkhorst, Erik-Jan, Barratt, Dean C., Rhode, Kawal S., King, Andrew P.

Publikováno v: In Medical Image Analysis May 2013 17(4):488-502

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Segmentation challenge on the quantification of left atrial wall thickness

Autor: Karim, Rashed, Varela, Marta, Bhagirath, Pranav, Morgan, Ross, Behar, Jonathan, Housden, James, Rajani, Ronak, Aslanidi, Oleg, Rhode, Kawal S.

Publikováno v: Karim, R, Varela, M, Bhagirath, P, Morgan, R, Behar, J, Housden, J, Rajani, R, Aslanidi, O & Rhode, K S 2017, Segmentation challenge on the quantification of left atrial wall thickness . in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . vol. 10124 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10124 LNCS, pp. 193-200, 7th International Workshop on Statistical Atlases and Computational Models of the Heart Imaging and Modelling Challenges, STACOM 2016 Held in Conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, Athens, Greece, 17/10/2016 . https://doi.org/10.1007/978-3-319-52718-5_21

This paper presents an image database for the Left Atrial Wall Thickness Quantification challenge at the MICCAI STACOM 2016 workshop along with some preliminary results. The image database consists of both CT (n = 10) and MRI (n = 10) datasets. Exper

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2761::5d2a20b8bbeb3848287c1edf4b832b39
https://kclpure.kcl.ac.uk/en/publications/f074f966-b7dc-44d3-bb9a-03812faa1d4a