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17 November 2017 Detection of the default mode network by an anisotropic analysis
Aura Forero, Eduardo Romero
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Proceedings Volume 10572, 13th International Conference on Medical Information Processing and Analysis; 105720K (2017) https://doi.org/10.1117/12.2285973
Event: 13th International Symposium on Medical Information Processing and Analysis, 2017, San Andres Island, Colombia
Abstract
This document presents a proposal devoted to improve the detection of the default mode network (DMN) in resting state functional magnetic resonance imaging in noisy conditions caused by head movement. The proposed approach is inspired by the hierarchical treatment of information, in particular at the level of the brain basal ganglia. Essentially, the fact that information must be selected and reduced suggests propagation of information in the Central Nervous System (CNS) is anisotropic. Under this hypothesis, the reconstruction of information of activation should follow an anisotropic pattern. In this work, an anisotropic filter is used to recover the DMN that is perturbed by simulated motion artifacts. Results obtained show this approach outperforms the state-of-the-art methods by 5.93% PSNR.
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Aura Forero and Eduardo Romero "Detection of the default mode network by an anisotropic analysis", Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 105720K (17 November 2017); https://doi.org/10.1117/12.2285973
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KEYWORDS
Anisotropic filtering
Head
Anisotropic diffusion
Biomedical optics
Brain
Functional magnetic resonance imaging
Nervous system
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