Abstract
Morphological changes of the brain lateral ventricles are known to be a marker of brain atrophy. Anatomically, each lateral ventricle has three horns, which extend into the different parts (i.e. frontal, occipital and temporal lobes) of the brain; their deformations can be associated with morphological alterations of the surrounding structures and they are revealed as complex patterns of their shape variations across subjects. In this paper, we propose a novel approach for the ventricular morphometry using structural feature descriptors, defined on the 3D shape model of the lateral ventricles, to characterize its shape, namely width, length and bending of individual horns and relative orientations between horns. We also demonstrate the descriptive ability of our feature-based morphometry through statistical analyses on a clinical dataset from a study of aging.
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Kim, J., Ryoo, H., del C. Valdés Hernández, M., Royle, N.A., Park, J. (2014). Brain Ventricular Morphology Analysis Using a Set of Ventricular-Specific Feature Descriptors. In: Bello, F., Cotin, S. (eds) Biomedical Simulation. ISBMS 2014. Lecture Notes in Computer Science, vol 8789. Springer, Cham. https://doi.org/10.1007/978-3-319-12057-7_16
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DOI: https://doi.org/10.1007/978-3-319-12057-7_16
Publisher Name: Springer, Cham
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