Component-based technique for determining the effects of acupuncture for fighting migraine using SPECT images

Authors:
M. M. LóPez;J. M. GóRriz;J. RamíRez;M. GóMez-RíO;J. Verdejo;J. Vas
Affiliations:
Dept. of Signal Theory, Networking and Communications, 18071, University of Granada, Spain;Dept. of Signal Theory, Networking and Communications, 18071, University of Granada, Spain;Dept. of Signal Theory, Networking and Communications, 18071, University of Granada, Spain;Nuclear Medicine Service, Virgen de las Nieves Hospital, Granada, Spain;Dept. of Clinical Psychology, 18071, University of Granada, Spain;Pain Treatment Unit, Primary Care Center, Dos Hermanas, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2013

Citing 9
Cited 2

The nature of statistical learning theory

The nature of statistical learning theory
A Tutorial on Support Vector Machines for Pattern Recognition

Data Mining and Knowledge Discovery
An Automatic Threshold-Based Scaling Method for Enhancing the Usefulness of Tc-HMPAO SPECT in the Diagnosis of Alzheimer's Disease

MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Comparison of different matching methods in observational studies and sensitivity analysis: The relation between depression and STAI-2 scores

Expert Systems with Applications: An International Journal
Cluster analysis of genome-wide expression data for feature extraction

Expert Systems with Applications: An International Journal
A new feature selection method on classification of medical datasets: Kernel F-score feature selection

Expert Systems with Applications: An International Journal
18F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis

Information Sciences: an International Journal
Computer aided diagnosis of Alzheimer's disease using component based SVM

Applied Soft Computing
Computer Aided Diagnosis tool for Alzheimer's Disease based on Mann-Whitney-Wilcoxon U-Test

Expert Systems with Applications: An International Journal

Application of SVM-RFE on EEG signals for detecting the most relevant scalp regions linked to affective valence processing

Expert Systems with Applications: An International Journal
Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

In this work, SPECT brain images are analyzed automatically in order to determine the effects of acupuncture applied for fighting migraine. For this purpose, two different groups of patients are randomly collected and received verum and sham acupuncture, respectively. Changes in the brain perfusion patterns can be measured quantitatively by dealing with the images in a classification context. A classification scheme consisting of a component-based feature extraction technique in combination with Support Vector Machines allows us to accurately determine the regions of interest (ROIs) where acupuncture produced more intense effects, and whether these effects are correlated with a decrease or an increase of the brain activity. Effects produced by verum and sham acupuncture are studied, and the best method for intensity normalization is discussed. The result is a complete, objective system which can be used for general purposes in the visual assessment of perfusion images.