Functional biomedical images of Alzheimer’s disease. A green’s function-based empirical mode decomposition study - Archive ouverte HAL Access content directly
Journal Articles Current Alzheimer Research Year : 2016

Functional biomedical images of Alzheimer’s disease. A green’s function-based empirical mode decomposition study

Abstract

Positron emission tomography (PET) provides a functional imaging modality to detect signs of dementias in human brains. Two-dimensional empirical mode decomposition (2D-EMD) provides means to analyze such images. It decomposes the latter into characteristic modes which represent textures on different spatial scales. These textures provide informative features for subsequent classification purposes. The study proposes a new EMD variant which relies on a Green’s function based estimation method including a tension parameter to fast and reliably estimate the envelope hypersurfaces interpolating extremal points of the twodimensional intensity distrubution of the images. The new method represents a fast and stable bi-dimensional EMD which speeds up computations roughly 100-fold. In combination with proper classifiers these exploratory feature extraction techniques can form a computer aided diagnosis (CAD) system to assist clinicians in identifying various diseases from functional images alone. PET images of subjects suffering from Alzheimer’s disease are taken to illustrate this ability.
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Dates and versions

hal-01319732 , version 1 (22-05-2016)

Identifiers

  • HAL Id : hal-01319732 , version 1

Cite

Saad Al-Baddai, A. Neubauer, Ana Maria Tomé, Vincent Vigneron, Diego Salas-Gonzalez, et al.. Functional biomedical images of Alzheimer’s disease. A green’s function-based empirical mode decomposition study. Current Alzheimer Research, 2016, 13 (6), pp.695--707. ⟨hal-01319732⟩
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