Advertisement
Published in:
2017 | OriginalPaper | Chapter
Adaptive Fusion of Texture-Based Grading: Application to Alzheimer’s Disease Detection
Authors : Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé, the Alzheimer’s Disease Neuroimaging Initiative
Published in: Patch-Based Techniques in Medical Imaging
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.