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3 January 2020 Characterizing local brain aging patterns in healthy subjects in structural magnetic resonance images
Miguel Caro, Diana Giraldo, Eduardo Romero
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Proceedings Volume 11330, 15th International Symposium on Medical Information Processing and Analysis; 113300O (2020) https://doi.org/10.1117/12.2542573
Event: 15th International Symposium on Medical Information Processing and Analysis, 2019, Medelin, Colombia
Abstract
The purpose of this work is to characterize the process of natural neuronal death associated with brain aging in healthy subjects by characterizing local relationships in nuclear magnetic resonances. The whole method focuses on describing local neighborhoods with a texture descriptor, specifically the Linear Binary Pattern invariant to rotation, aiming to capture local tissue relationships by clustering this texture descriptor in brain regions previously parcelled. This approach has been tested in a group of control subjects extracted from the ADNI database project, dividing the experimental group after subjects’ chronological age. Results show differences concentrated in certain regions, i.e., the caudate, the hippocampus, and the thalamus, all of them usually reported as deteriorating with ageing process.
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Miguel Caro, Diana Giraldo, and Eduardo Romero "Characterizing local brain aging patterns in healthy subjects in structural magnetic resonance images", Proc. SPIE 11330, 15th International Symposium on Medical Information Processing and Analysis, 113300O (3 January 2020); https://doi.org/10.1117/12.2542573
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KEYWORDS
Brain
Magnetism
Neuroimaging
Binary data
Thalamus
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