Alzheimer's disease diagnosis on structural MR images using circular harmonic functions descriptors on hippocampus and posterior cingulate cortex

Highlights • The combination of hippocampus and PCC atrophy captured by CHF features gives a good indicator to AD diagnostics. • The method is less time consuming. • The proposed method is fully automatic and do not require the intervention of an expert.

Saved in:
Bibliographic Details
Published in:Computerized medical imaging and graphics 2015-09, Vol.44, p.13-25
Main Authors: Ben Ahmed, Olfa, Mizotin, Maxim, Benois-Pineau, Jenny, Allard, Michèle, Catheline, Gwénaëlle, Ben Amar, Chokri
Format: Article
Language:English
Subjects:
Aged
Aged, 80 and over
Algorithms
Alzheimer Disease - pathology
Alzheimer's disease
Bag-of-Visual-Words
CBVIR
Circular harmonic functions
Female
Gyrus Cinguli - pathology
Hippocampus
Hippocampus - pathology
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Internal Medicine
Local features
Magnetic Resonance Imaging - methods
Male
Middle Aged
Other
PCA
Posterior cingulate cortex
Reproducibility of Results
Sensitivity and Specificity
Support vector machines
Visual similarity
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Highlights • The combination of hippocampus and PCC atrophy captured by CHF features gives a good indicator to AD diagnostics. • The method is less time consuming. • The proposed method is fully automatic and do not require the intervention of an expert.
ISSN:0895-6111
1879-0771
DOI:10.1016/j.compmedimag.2015.04.007