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   -> Volume 4, Issue 7


Preprint: Wavelet analysis for brain-function imaging
 
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Rene Carmona (rcarmona@chelsea.math.uci.edu)
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PostPosted: Tue Dec 03, 2002 1:22 pm    
Subject: Preprint: Wavelet analysis for brain-function imaging
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Preprint: Wavelet analysis for brain-function imaging

Preprint on Brain Imaging available by anonymous ftp. The paper is
to appear in the IEEE Transactions on Medical Imaging

Title: WAVELET ANALYSIS FOR BRAIN-FUNCTION IMAGING

Authors: Rene A. Carmona, Wen L. Hwang and Ron D. Frostig

Abstract:

The purpose of the paper is to present a new algorithmic procedure for
the analysis of brain images. This procedure is specifically designed
to image the activity and the functional organization of the brain.
Our results are tested on data collected and previously analyzed with
the technique known as in vivo optical imaging of intrinsic signals.
Our procedure enhances the applicability of this technique and
facilitates the extension of the underlying ideas to other imaging
problems (e.g. functional MRI). The thrust of the paper is
twofold. First we give a systematic method to control the blood vessel
artifacts which typically reduce the dynamic range of the image.

We propose a mathematical model for the vibrations in time of the
veins and arteries and we design a new method for cleaning the images
of the vessels with the highest time variations. This procedure is
based on the analysis of the singularities of the images. The use of
wavelet transform is of crucial importance in characterizing the
singularities and in reconstructing appropriate versions of the
original images. The second important component of our work is the
analysis of the time evolution of the fine structure of the images. We
show that, once the images have been cleaned of the blood vessel
vibrations/variations, the principal component of the time evolutions
of the signals is due to the functional activity following the
stimuli. The part of the brain where this function takes place can be
localized and delineated with precision.

To get a copy (the postscript file compressed with gzip):

ftp chelsea.math.uci.edu
username: anonymous
password: your e-mail address
binary
cd pub
cd outgoing
cd signalproc
get chf.ps.gz
quit

Let me know if you have any problem retrieveing the file.

rcarmona@uci.edu
All times are GMT + 1 Hour
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