Abstract #4326
Searching for new Dementia-related Features within MRI: Keypoint Detection and Description
Elisabeth Sthler 1
1
Department of Computer and Information
Science, University of Konstanz, Konstanz,
Baden-Wrttemberg, Germany
New dementia-related features are presented to
differentiate between various stages of Alzheimers
disease. Prior registration of MRI-scans, possibly
unsuccessful and always time-consuming, is avoided by
employing local invariant features which are independent
of image scale and orientation. Feature detectors are
implemented based on scale-space theory in an
automatized image processing workflow, and tested on a
standardized MRI collection comprising 382 T1 MRI scans
from patients with Alzheimer's Disease or mild cognitive
impairment, and from a control group. The approach is
not only very efficient for processing large datasets,
but also first order statistics of features already
differentiate significantly between classes.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
