Extraction of transient MR signal responses in a hyperoxia model using independent component analysis

Author

Netsiri, Chaiyapoj ; Kennan, Richard P. ; Nagaoka, Tsukasa ; Ogawa, Seiji

Author_Institution

MR Res. Center, Albert Einstein Coll. of Med., Bronx, NY, USA

Volume

2

fYear

2002

fDate

2002

Firstpage

1057

Abstract

The effects of hyperoxia to neurovasculature were investigated using a mouse brain as a physiological model. Pure oxygen was applied to the mouse respiratory system to induce hyperoxia in the brain. Physiological alterations were acquired using a 9.4 T magnetic resonance imaging (MRI). Independent component analysis (ICA) and principal component analysis (PCA) were applied to the time-series MRI data to extract the transient hyperoxic responses. ICA and PCA successfully extracted the transient hyperoxic responses and localized similar affected areas. ICA, however, could provide a better signal extraction than PCA in terms of wave-shape.

Keywords

biomedical MRI; brain; independent component analysis; medical image processing; principal component analysis; time series; 9.4 T; animal models; disease models; magnetic resonance imaging; medical diagnostic imaging; migraine headache; neurovasculature; pathophysiological investigation; signal extraction; time-series signals; transient hyperoxic responses; Animals; Biomedical imaging; Biomedical monitoring; Data mining; Educational institutions; Independent component analysis; Magnetic resonance imaging; Mice; Principal component analysis; Transient analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1106274

Filename

1106274