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2017 | OriginalPaper | Buchkapitel

Adaptive Fusion of Texture-Based Grading: Application to Alzheimer’s Disease Detection

verfasst von : Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé, the Alzheimer’s Disease Neuroimaging Initiative

Erschienen in: Patch-Based Techniques in Medical Imaging

Verlag: Springer International Publishing

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Abstract

Alzheimer’s disease is a neurodegenerative process leading to irreversible mental dysfunctions. The development of new biomarkers is crucial to perform an early detection of this disease. Among new biomarkers proposed during the last decades, patch-based grading framework demonstrated state-of-the-art results. In this paper, we study the potential using texture information based on Gabor filters to improve patch-based grading method performance, with a focus on the hippocampal structure. We also propose a novel fusion framework to efficiently combine multiple grading maps derived from a Gabor filters bank. Finally, we compare our new texture-based grading biomarker with the state-of-the-art approaches to demonstrate the high potential of the proposed method.

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Metadaten
Titel
Adaptive Fusion of Texture-Based Grading: Application to Alzheimer’s Disease Detection
verfasst von
Kilian Hett
Vinh-Thong Ta
José V. Manjón
Pierrick Coupé
the Alzheimer’s Disease Neuroimaging Initiative
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-67434-6_10