Validation of the Image Registration Technique from Functional Near Infrared Spectroscopy (fNIRS) Signal and Positron Emission Tomography (PET) Image
Functional near infrared spectroscopy (fNIRS) is an imaging system that can measure hemodynamic changes of the brain. However, the system incapability to measure beyond the brain cortex region make it usage less appealing for in-depth brain studies. To overcome this, many researchers combine fNI...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | http://eprints.unisza.edu.my/6920/1/FH02-FSK-20-38408.pdf http://eprints.unisza.edu.my/6920/ |
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Institution: | Universiti Sultan Zainal Abidin |
Language: | English |
Summary: | Functional near infrared spectroscopy (fNIRS) is an
imaging system that can measure hemodynamic changes of the
brain. However, the system incapability to measure beyond the
brain cortex region make it usage less appealing for in-depth
brain studies. To overcome this, many researchers combine fNIRS
with other imaging modalities to gain better understanding of the
brain activities. In this paper, we described the theory of the
registering fNIRS signals and positron emission tomography
(PET) image method and performed experiments to validate it.
The registration method was validated using specially designed
phantom for fNIRS and PET. Polaris system was used to track the
position of the phantom which is based on the Polaris markers
during fNIRS and PET procedures. The Polaris markers share
the same coordinate, thus the fNIRS and PET were calibrated to
each other through these markers. To register the fNIRS signal on
the PET image, the phantom position in fNIRS coordinate is
translated to PET coordinate which allow the probe and the
markers being coordinated in PET. Polaris markers were used as
the references marker to determine the transformation matrices.
The result shows that the fNIRS channel can be viewed on the
PET image of the phantom. The transformation error from
Polaris to PET is less than 1.00 mm and the precision test is less
than 0.1mm while the accuracy is less than 2.8 mm. This result
suggests that our theory on the registration method could be used
for multimodal image registration between fNIRS and other
modalities. |
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