Intensity-Modulated Microbend Fiber Optic Sensor for Respiratory Monitoring and Gating During MRI.
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| Title: | Intensity-Modulated Microbend Fiber Optic Sensor for Respiratory Monitoring and Gating During MRI. |
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| Authors: | Lau, Doreen1, Chen, Zhihao2, Teo, Ju Teng2, Ng, Soon Huat2, Rumpel, Helmut1, Lian, Yong3, Yang, Hui1, Kei, Pin Lin1 |
| Source: | IEEE Transactions on Biomedical Engineering. Sep2013, Vol. 60 Issue 9, p2655-2662. 8p. |
| Subjects: | Microbending, Optical fiber detectors, Respiratory measurements, Magnetic resonance imaging, Light transmission, Multimode-mode optical fibers, Signal-to-noise ratio, Optoelectronic devices |
| 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 real-time 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 sensor mat, 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. [ABSTRACT FROM PUBLISHER] |
| Copyright of IEEE Transactions on Biomedical Engineering is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 89809174 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Intensity-Modulated Microbend Fiber Optic Sensor for Respiratory Monitoring and Gating During MRI. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lau%2C+Doreen%22">Lau, Doreen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chen%2C+Zhihao%22">Chen, Zhihao</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Teo%2C+Ju+Teng%22">Teo, Ju Teng</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ng%2C+Soon+Huat%22">Ng, Soon Huat</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Rumpel%2C+Helmut%22">Rumpel, Helmut</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Lian%2C+Yong%22">Lian, Yong</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Yang%2C+Hui%22">Yang, Hui</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kei%2C+Pin+Lin%22">Kei, Pin Lin</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Biomedical+Engineering%22">IEEE Transactions on Biomedical Engineering</searchLink>. Sep2013, Vol. 60 Issue 9, p2655-2662. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Microbending%22">Microbending</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+fiber+detectors%22">Optical fiber detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Respiratory+measurements%22">Respiratory measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Light+transmission%22">Light transmission</searchLink><br /><searchLink fieldCode="DE" term="%22Multimode-mode+optical+fibers%22">Multimode-mode optical fibers</searchLink><br /><searchLink fieldCode="DE" term="%22Signal-to-noise+ratio%22">Signal-to-noise ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Optoelectronic+devices%22">Optoelectronic devices</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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 real-time 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 sensor mat, 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. [ABSTRACT FROM PUBLISHER] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Biomedical Engineering is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TBME.2013.2262150 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 2655 Subjects: – SubjectFull: Microbending Type: general – SubjectFull: Optical fiber detectors Type: general – SubjectFull: Respiratory measurements Type: general – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Light transmission Type: general – SubjectFull: Multimode-mode optical fibers Type: general – SubjectFull: Signal-to-noise ratio Type: general – SubjectFull: Optoelectronic devices Type: general Titles: – TitleFull: Intensity-Modulated Microbend Fiber Optic Sensor for Respiratory Monitoring and Gating During MRI. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lau, Doreen – PersonEntity: Name: NameFull: Chen, Zhihao – PersonEntity: Name: NameFull: Teo, Ju Teng – PersonEntity: Name: NameFull: Ng, Soon Huat – PersonEntity: Name: NameFull: Rumpel, Helmut – PersonEntity: Name: NameFull: Lian, Yong – PersonEntity: Name: NameFull: Yang, Hui – PersonEntity: Name: NameFull: Kei, Pin Lin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 00189294 Numbering: – Type: volume Value: 60 – Type: issue Value: 9 Titles: – TitleFull: IEEE Transactions on Biomedical Engineering Type: main |
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