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Registering fNIR data to brain surface image using MRI templates
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/1674
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| Title: | Registering fNIR data to brain surface image using MRI templates |
| Authors: | Ayaz, Hasan
Izzetoglu, Meltem
Platek, Steven M.
Bunce, Scott
Izzetoglu, Kurtulus
Pourrezaei, Kambiz
Onaral, Banu |
| Issue Date: | Aug-2006 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, pp. 2671-2674. |
| Abstract: | Functional near-infrared spectroscopy (fNIR)
measures changes in the relative levels of oxygenated and
deoxygenated hemoglobin and has increasingly been used to
assess neural functioning in the brain. In addition to the
ongoing technological developments, investigators have also
been conducting studies on functional mapping and
refinement of data analytic strategies in order to better
understand the relationship between the fNIR signal and
brain activity. However, since fNIR is a relatively new
functional brain imaging modality as compared to positron
emission tomography (PET) and functional magnetic
resonance imaging (fMRI), it still lacks brain-mapping tools
designed to allow researchers and clinicians to easily interact
with their data. The aim of this study is to develop a
registration technique for the fNIR measurements using
anatomical landmarks and structural magnetic resonance
imaging (MRI) templates in order to visualize the brain
activation when and where it happens. The proposed
registration technique utilizes chain-code algorithm and
depicts activations over respective locations based on sensor
geometry. Furthermore, registered data locations have been
used to create spatiotemporal visualization of fNIR
measurements. |
| URI: | http://dx.doi.org/10.1109/IEMBS.2006.260835
http://hdl.handle.net/1860/1674 |
| Appears in Collections: | Faculty Research and Publications (Biomed Eng)
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