Skip navigation
Skip navigation

Adaptive 2DCCA based approach for improving spatial specificity of activation detection in functional MRI

Khalid, Muhammad; Shah, Adnan; Seghouane, Abd-Krim

Description

The univariate approach without a smoothing filter for detecting activation patterns in functional magnetic resonance imaging (fMRI) data suffers from a low sensitivity due to presence of high noise. The poor performance of univariate methods such as ordinary correlation is due to lack of their ability to take advantage of spatial correlation that exists in fMR images among group of neighboring voxels. To rectify this problem multivariate approaches such as canonical correlation analysis (CCA),...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
URI: http://hdl.handle.net/1885/71566
Source: 2012 International Conference on Digital Image Computing Techniques and Applications, DICTA 2012
DOI: 10.1109/DICTA.2012.6411709

Download

File Description SizeFormat Image
01_Khalid_Adaptive_2DCCA_based_approach_2012.pdf209.49 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  12 November 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator