Asymmetry of SPECT Perfusion Image Patterns as a Diagnostic Feature for Alzheimer's Disease. Medical Image Computing and Computer-Assisted Intervention -

In this paper we propose a new diagnostic feature for
Alzheimer's Disease (AD) which is based on assessment of the degree of
inter-hemispheric asymmetry using Single Photon Emission Computed
Tomography (SPECT). The asymmetry measure used represents differ-
ences in 3D perfusion image patterns in the cerebral hemispheres. We
start from the simplest descriptors of brain perfusion such as the mean
intensity within pairs of brain lobes, gradually increasing the resolution
up to five-dimensional co-occurrence matrices. Evaluation of the method
was performed using SPECT scans of 79 subjects including 42 patients
with clinical diagnosis of AD and 37 controls. It was found that combina-
tion of intensity and gradient features in co-occurrence matrices captures
significant differences in asymmetry values between AD and normal con-
trols (p < 0.00003 for all cerebral lobes). Our results suggest that the
asymmetry feature is useful for discriminating AD patients from normal
controls as detected by SPECT.

Tipo Pubblicazione: 
Articolo
Author or Creator: 
Kovalev VA
Thurfjell L
Lundqvist R
Pagani M.
Source: 
Medical Image Computing and Computer-Assisted Intervention 4191 (2006): 421–428.
info:cnr-pdr/source/autori:Kovalev VA, Thurfjell L, Lundqvist R and Pagani M./titolo:Asymmetry of SPECT Perfusion Image Patterns as a Diagnostic Feature for Alzheimer's Disease. Medical Image Computing and Computer-Assisted Intervention -/doi:/rivista:Med
Date: 
2006
Resource Identifier: 
http://www.cnr.it/prodotto/i/69461
Language: 
Eng
ISTC Author: 
Ritratto di Marco Pagani
Real name: