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Functional MRI activation signal detection using the periodicity transform

DSpace at IIT Bombay

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Title Functional MRI activation signal detection using the periodicity transform
 
Creator DESHMUKH, AV
SHIVHARE, V
PARIHAR, RS
GADRE, VM
PATKAR, DP
SHAH, SMRUTI
PUNGAVKAR, SONA
 
Subject biomedical mri
data analysis
medical image processing
medical signal detection
phantoms
time series
 
Description A key challenge in Functional Magnetic Resonance Imaging (fMRI) is the detection of activation areas in the brain. We introduce a new method of M R I signal detection, using an approach termed the Periodicity Transform. The technique is based on temporal data analysis. A search for periodicity is camed out in the tMRI time series data. The method is applicable to block design experiments. In the block paradigm, the stimulus period is known and it is possible to use this information for searching periodicities in the time series data. We present the results for the periodicity detection
in the time series of the simulated phantom as well as clinical fMR1 data from the finger tapping experiment. No assumptions have been made about the amplitude and frequency of the activation signal. The algorithm extracts arbitrary harmonics at the periodicity defined by thc stimulus function.
 
Publisher IEEE
 
Date 2008-12-28T07:02:26Z
2011-11-27T21:46:25Z
2011-12-15T09:56:22Z
2008-12-28T07:02:26Z
2011-11-27T21:46:25Z
2011-12-15T09:56:22Z
2004
 
Type Article
 
Identifier Proceedings of the International Conference on Signal Processing and Communications, Bangalore, India, 11-14 December 2004, 121-125
0-7803-8674-4
http://hdl.handle.net/10054/510
http://dspace.library.iitb.ac.in/xmlui/handle/10054/510
 
Language en