Intensity-Modulated Microbend Fiber Optic Sensor for Respiratory Monitoring and Gating During MRI

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Intensity-Modulated Microbend Fiber Optic Sensor for Respiratory Monitoring and Gating During MRI
Title:
Intensity-Modulated Microbend Fiber Optic Sensor for Respiratory Monitoring and Gating During MRI
Other Titles:
IEEE Transactions on Biomedical Engineering
Keywords:
Publication Date:
13 May 2013
Citation:
D. Lau et al., "Intensity-Modulated Microbend Fiber Optic Sensor for Respiratory Monitoring and Gating During MRI," in IEEE Transactions on Biomedical Engineering, vol. 60, no. 9, pp. 2655-2662, Sept. 2013, doi: 10.1109/TBME.2013.2262150.
Abstract:
This paper describes a novel microbend fiber optic sensor system for respiratory monitoring and respiratory gating in the MRI environment. The system enables the noninvasive realtime monitoring and measurement of breathing rate and respiratory/ body movement pattern of healthy subjects inside the MRI gantry, and has potential application in respiratory-gated image acquisition based on respiratory cues. The working principle behind this sensor is based on the microbending effect of an optical fiber on light transmission. The sensor system comprises of a 1.0-mm-thin graded-index multimode optical fiber-embedded plastic sensormat, a photoelectronic transceiver, and a computer with a digital signal processing algorithm. In vitro testing showed that our sensor has a typical signal-to-noise ratio better than 28 dB. Clinical MRI trials conducted on 20 healthy human subjects showed good and comparable breathing rate detection (with an accuracy of ±2 bpm) and respiratory-gated image quality produced using the sensor system, with reference to current predicate hospital device/system. The MRI safe, ease of operation characteristics, low fabrication cost, and extra patient comfort offered by this system suggest its good potential in replacing predicate device/system and serve as a dual function in real-time respiratory monitoring and respiratory-gated image acquisition at the same time during MRI.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the Agency for Science, Technology and Research - Biomedical Engineering Programme Grant
Grant Reference no. : 102 148 0011
Description:
ISSN:
0018-9294
1558-2531
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