Prediction of clinical information from cardiac MRI using manifold learning
Wang H, Shi W, Bai W, De Marvao AMSM, Dawes TJW, O'Regan DP, Edwards P, Cook S, Rueckert D (2015)
Publication Type: Conference contribution
Publication year: 2015
Journal
Publisher: Springer Verlag
Book Volume: 9126
Pages Range: 91-98
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Maastricht, NLD
ISBN: 9783319203089
DOI: 10.1007/978-3-319-20309-6_11
Abstract
Cardiac MR imaging contains rich information that can be used to investigate the anatomy and function of the heart. In this paper, we demonstrate that it is possible to learn anatomical and functional information from cardiac MR imaging without explicit segmentation in order to predict clinical variables such as blood pressure with high accuracy. To learn the anatomical variations, we build manifolds of different time points across different subjects. In addition, we investigate two different approaches to incorporate motion information into a manifold, and compare these manifolds to a manifold learned from a single time point. Combining both inter- and intra-subject variation, we are able to construct accurate and reliable classifiers to predict clinical variables. Our proposed method does not require any explicit image segmentation and motion estimation and is able to predict clinical variables with good accuracy.
Involved external institutions
United Kingdom (GB)How to cite
APA:
Wang, H., Shi, W., Bai, W., De Marvao, A.M.S.M., Dawes, T.J.W., O'Regan, D.P.,... Rueckert, D. (2015). Prediction of clinical information from cardiac MRI using manifold learning. In Hans van Assen, Peter Bovendeerd, Hans van Assen, Peter Bovendeerd, Tammo Delhaas, Tammo Delhaas (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 91-98). Maastricht, NLD: Springer Verlag.
MLA:
Wang, Haiyan, et al. "Prediction of clinical information from cardiac MRI using manifold learning." Proceedings of the 8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015, Maastricht, NLD Ed. Hans van Assen, Peter Bovendeerd, Hans van Assen, Peter Bovendeerd, Tammo Delhaas, Tammo Delhaas, Springer Verlag, 2015. 91-98.
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