Fairuz, Mohd Nasir and Hiroshi, Watabe (2020) Validation of the Image Registration Technique from Functional Near Infrared Spectroscopy (fNIRS) Signal and Positron Emission Tomography (PET) Image. International Journal of Management and Humanities, 4 (9). pp. 63-69. ISSN 2394-0913
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Abstract
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.
Item Type: | Article |
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Uncontrolled Keywords: | functional near-infrared spectroscopy, PET-fNIRS, multimodal image registration |
Subjects: | Q Science > QC Physics |
Divisions: | Faculty of Health Sciences |
Depositing User: | Fatin Safura |
Date Deposited: | 11 Apr 2022 02:44 |
Last Modified: | 24 Apr 2022 03:22 |
URI: | http://eprints.unisza.edu.my/id/eprint/6920 |
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