Oxygen Saturation Imaging Using LED-Based Photoacoustic System
Oxygen saturation imaging has potential in several preclinical and clinical applications. Dual-wavelength LED array-based photoacoustic oxygen saturation imaging can be an affordable solution in this case. For the translation of this technology, there is a need to improve its accuracy and validate i...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/1/283 |
| _version_ | 1797542508312395776 |
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| author | Rianne Bulsink Mithun Kuniyil Ajith Singh Marvin Xavierselvan Srivalleesha Mallidi Wiendelt Steenbergen Kalloor Joseph Francis |
| author_facet | Rianne Bulsink Mithun Kuniyil Ajith Singh Marvin Xavierselvan Srivalleesha Mallidi Wiendelt Steenbergen Kalloor Joseph Francis |
| author_sort | Rianne Bulsink |
| collection | DOAJ |
| description | Oxygen saturation imaging has potential in several preclinical and clinical applications. Dual-wavelength LED array-based photoacoustic oxygen saturation imaging can be an affordable solution in this case. For the translation of this technology, there is a need to improve its accuracy and validate it against ground truth methods. We propose a fluence compensated oxygen saturation imaging method, utilizing structural information from the ultrasound image, and prior knowledge of the optical properties of the tissue with a Monte-Carlo based light propagation model for the dual-wavelength LED array configuration. We then validate the proposed method with oximeter measurements in tissue-mimicking phantoms. Further, we demonstrate in vivo imaging on small animal and a human subject. We conclude that the proposed oxygen saturation imaging can be used to image tissue at a depth of 6–8 mm in both preclinical and clinical applications. |
| first_indexed | 2024-03-10T13:31:32Z |
| format | Article |
| id | doaj.art-fc01d691439946cea291780f03732012 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T13:31:32Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-fc01d691439946cea291780f037320122023-11-21T08:04:20ZengMDPI AGSensors1424-82202021-01-0121128310.3390/s21010283Oxygen Saturation Imaging Using LED-Based Photoacoustic SystemRianne Bulsink0Mithun Kuniyil Ajith Singh1Marvin Xavierselvan2Srivalleesha Mallidi3Wiendelt Steenbergen4Kalloor Joseph Francis5Biomedical Photonic Imaging (BMPI), Technical Medical Center, University of Twente, 7500 AE Enschede, The NetherlandsResearch & Business Development Division, CYBERDYNE Inc., Cambridge Innovation Center, 3013 AK Rotterdam, The NetherlandsDepartment of Biomedical Engineering, Science and Technology Center, Tufts University, Medford, MA 02155, USADepartment of Biomedical Engineering, Science and Technology Center, Tufts University, Medford, MA 02155, USABiomedical Photonic Imaging (BMPI), Technical Medical Center, University of Twente, 7500 AE Enschede, The NetherlandsBiomedical Photonic Imaging (BMPI), Technical Medical Center, University of Twente, 7500 AE Enschede, The NetherlandsOxygen saturation imaging has potential in several preclinical and clinical applications. Dual-wavelength LED array-based photoacoustic oxygen saturation imaging can be an affordable solution in this case. For the translation of this technology, there is a need to improve its accuracy and validate it against ground truth methods. We propose a fluence compensated oxygen saturation imaging method, utilizing structural information from the ultrasound image, and prior knowledge of the optical properties of the tissue with a Monte-Carlo based light propagation model for the dual-wavelength LED array configuration. We then validate the proposed method with oximeter measurements in tissue-mimicking phantoms. Further, we demonstrate in vivo imaging on small animal and a human subject. We conclude that the proposed oxygen saturation imaging can be used to image tissue at a depth of 6–8 mm in both preclinical and clinical applications.https://www.mdpi.com/1424-8220/21/1/283oxygen saturation imagingLEDphotoacousticsultrasoundfluence compensationin vivo |
| spellingShingle | Rianne Bulsink Mithun Kuniyil Ajith Singh Marvin Xavierselvan Srivalleesha Mallidi Wiendelt Steenbergen Kalloor Joseph Francis Oxygen Saturation Imaging Using LED-Based Photoacoustic System Sensors oxygen saturation imaging LED photoacoustics ultrasound fluence compensation in vivo |
| title | Oxygen Saturation Imaging Using LED-Based Photoacoustic System |
| title_full | Oxygen Saturation Imaging Using LED-Based Photoacoustic System |
| title_fullStr | Oxygen Saturation Imaging Using LED-Based Photoacoustic System |
| title_full_unstemmed | Oxygen Saturation Imaging Using LED-Based Photoacoustic System |
| title_short | Oxygen Saturation Imaging Using LED-Based Photoacoustic System |
| title_sort | oxygen saturation imaging using led based photoacoustic system |
| topic | oxygen saturation imaging LED photoacoustics ultrasound fluence compensation in vivo |
| url | https://www.mdpi.com/1424-8220/21/1/283 |
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