Using principal component analysis to visualize the spatial distribution of functional areas of the brain as studied with MRI during motor and sensory activation

Finn Pedersen; Ewert W. Bengtsson; Tomas Hindmarsh; Bo Nordell; Hans Forssberg

doi:10.1117/12.174399

1 May 1994 Using principal component analysis to visualize the spatial distribution of functional areas of the brain as studied with MRI during motor and sensory activation

Finn Pedersen, Ewert W. Bengtsson, Tomas Hindmarsh, Bo Nordell, Hans Forssberg

Author Affiliations +

Proceedings Volume 2168, Medical Imaging 1994: Physiology and Function from Multidimensional Images; (1994) https://doi.org/10.1117/12.174399
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

Abstract

Magnetic resonance imaging (MRI) can be used for functional brain studies. The identification of areas with changed blood oxygenation level dependent (BOLD) signal is usually done by visually inspecting maps of different kinds created through different post-processing procedures of the acquired images. It is desirable that the maps have as good an image quality as possible, and principal component analysis (PCA) can be used for this task. PCA is a data- driven method which does not use information about the timing of the experiment, instead the variance-covariance structure of the image data set is analyzed. PCA results in linear combinations of the analyzed MR images called score images, and the possibility to use score images as functional maps is investigated and compared to another commonly used method.

Citation Download Citation

Finn Pedersen, Ewert W. Bengtsson, Tomas Hindmarsh, Bo Nordell, and Hans Forssberg "Using principal component analysis to visualize the spatial distribution of functional areas of the brain as studied with MRI during motor and sensory activation", Proc. SPIE 2168, Medical Imaging 1994: Physiology and Function from Multidimensional Images, (1 May 1994); https://doi.org/10.1117/12.174399

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available