Characterizing pathological deviations from normality using constrained manifold-learning
Nicolas Duchateau,Mathieu De Craene,Gemma Piella,Alejandro F. Frangi +3 more
- 18 Sep 2011
- Vol. 14, pp 256-263
TL;DR: The method is applied in the context of cardiac resynchronization therapy (CRT), focusing on a specific motion pattern of intra-ventricular dyssynchrony called septal flash (SF), and extends recent manifold-learning techniques by constraining the manifold to pass by a physiologically meaningful origin representing a normal motion pattern.
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Abstract: We propose a technique to represent a pathological pattern as a deviation from normality along a manifold structure. Each subject is represented by a map of local motion abnormalities, obtained from a statistical atlas of motion built from a healthy population. The algorithm learns a manifold from a set of patients with varying degrees of the same pathology. The approach extends recent manifold-learning techniques by constraining the manifold to pass by a physiologically meaningful origin representing a normal motion pattern. Individuals are compared to the manifold population through a distance that combines a mapping to the manifold and the path along the manifold to reach its origin. The method is applied in the context of cardiac resynchronization therapy (CRT), focusing on a specific motion pattern of intra-ventricular dyssynchrony called septal flash (SF). We estimate the manifold from 50 CRT candidates with SF and test it on 38 CRT candidates and 21 healthy volunteers. Experiments highlight the need of nonlinear techniques to learn the studied data, and the relevance of the computed distance for comparing individuals to a specific pathological pattern.
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Constrained manifold learning for the characterization of pathological deviations from normality
TL;DR: The approach extends recent manifold learning techniques by constraining the manifold to pass by a physiologically meaningful origin representing a normal motion pattern, and compares individuals to the training population using a mapping to the manifold and a distance to normality along the manifold.
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Manifold-constrained embeddings for the detection of white matter lesions in brain MRI
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Atlas-based quantification of myocardial motion abnormalities: added-value for understanding the effect of cardiac resynchronization therapy.
Nicolas Duchateau,Adelina Doltra,Etelvino Silva,Mathieu De Craene,Gemma Piella,María Ángeles Castel,Lluís Mont,Josep Brugada,Alejandro F. Frangi,Alejandro F. Frangi,Marta Sitges +10 more
TL;DR: An atlas of normal septal motion built using apical four-chamber two-dimensional echocardiographic sequences from healthy volunteers with 88 patients undergoing CRT at baseline and at 12 months follow-up to demonstrate the clinical value of such a method.
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