Eidolon: Visualization and computational framework for multi-modal biomedical data analysis

Kerfoot E, Fovargue L, Rivolo S, Shi W, Rueckert D, Nordsletten D, Lee J, Chabiniok R, Razavi R (2016)

Publication Type: Conference contribution

Publication year: 2016

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer Verlag

Book Volume: 9805 LNCS

Pages Range: 425-437

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: Bern, CHE

ISBN: 9783319437743

DOI: 10.1007/978-3-319-43775-0_39

Abstract

Biomedical research, combining multi-modal image and geometry data, presents unique challenges for data visualization, processing, and quantitative analysis. Medical imaging provides rich information, from anatomical to deformation, but extracting this to a coherent picture across image modalities with preserved quality is not trivial. Addressing these challenges and integrating visualization with image and quantitative analysis results in Eidolon, a platform which can adapt to rapidly changing research workflows. In this paper we outline Eidolon, a software environment aimed at addressing these challenges, and discuss the novel integration of visualization and analysis components. These capabilities are demonstrated through the example of cardiac strain analysis, showing the Eidolon supports and enhances the workflow.

Involved external institutions

King’s College London GB United Kingdom (GB) Imperial College London / The Imperial College of Science, Technology and Medicine GB United Kingdom (GB)

How to cite

APA:

Kerfoot, E., Fovargue, L., Rivolo, S., Shi, W., Rueckert, D., Nordsletten, D.,... Razavi, R. (2016). Eidolon: Visualization and computational framework for multi-modal biomedical data analysis. In Hongen Liao, Guoyan Zheng, Su-Lin Lee, Philippe Cattin, Pierre Jannin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 425-437). Bern, CHE: Springer Verlag.

MLA:

Kerfoot, Eric, et al. "Eidolon: Visualization and computational framework for multi-modal biomedical data analysis." Proceedings of the 7th International Conference on Medical Imaging and Augmented Reality, MIAR 2016, Bern, CHE Ed. Hongen Liao, Guoyan Zheng, Su-Lin Lee, Philippe Cattin, Pierre Jannin, Springer Verlag, 2016. 425-437.

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