Photoacoustic Imaging for Periodontal Disease Examination
Introduction: After caries, periodontal tissue inflammation (periodontitis) is the most common oral health problem. Photoacoustic imaging (PAI) is a new technique that uses simple components such as a diode laser and a condenser microphone. This study aimed to evaluate the performance of a simple PA...
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| Format: | Other |
| Language: | English |
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Journal of Lasers in Medical Sciences
2022
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/284063/1/137.Photoacoustic-Imaging-for-Periodontal-Disease-ExaminationJournal-of-Lasers-in-Medical-Sciences.pdf |
| _version_ | 1797037790016307200 |
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| author | Sari, Atika Windra Widyaningrum, Rini Mitrayana, Mitrayana |
| author_facet | Sari, Atika Windra Widyaningrum, Rini Mitrayana, Mitrayana |
| author_sort | Sari, Atika Windra |
| collection | UGM |
| description | Introduction: After caries, periodontal tissue inflammation (periodontitis) is the most common oral health problem. Photoacoustic imaging (PAI) is a new technique that uses simple components such as a diode laser and a condenser microphone. This study aimed to evaluate the performance of a simple PAI system in periodontal disease imaging by using an animal model.
Methods: Normal periodontal and periodontitis tissues were obtained from Sprague–Dawley rats categorized as the control group, treatment group 1 (7 days of periodontitis induction), treatment group 2 (11 days of periodontitis induction), and treatment group 3 (14 days of periodontitis induction). The PAI system was controlled by LabVIEW and Arduino IDE software from a personal computer.
Results: Results revealed that the optimal frequency of laser modulation for periodontal tissue imaging was 19 kHz with a duty cycle of 50%. The photoacoustic (PA) intensity of periodontal tissues was −68.71 dB for treatment group 3, −70.34 dB for treatment group 2, −71.69 dB for treatment group 1, and −73.07 dB for the control group. PA image analysis showed that the PA intensity from periodontal disease groups was higher than the control group.
Conclusion: This study indicates the feasibility of using a simple PAI system to differentiate normal periodontal tissues from periodontitis tissues. |
| first_indexed | 2024-03-14T00:09:20Z |
| format | Other |
| id | oai:generic.eprints.org:284063 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-14T00:09:20Z |
| publishDate | 2022 |
| publisher | Journal of Lasers in Medical Sciences |
| record_format | dspace |
| spelling | oai:generic.eprints.org:2840632023-11-28T01:03:52Z https://repository.ugm.ac.id/284063/ Photoacoustic Imaging for Periodontal Disease Examination Sari, Atika Windra Widyaningrum, Rini Mitrayana, Mitrayana Optical Physics Introduction: After caries, periodontal tissue inflammation (periodontitis) is the most common oral health problem. Photoacoustic imaging (PAI) is a new technique that uses simple components such as a diode laser and a condenser microphone. This study aimed to evaluate the performance of a simple PAI system in periodontal disease imaging by using an animal model. Methods: Normal periodontal and periodontitis tissues were obtained from Sprague–Dawley rats categorized as the control group, treatment group 1 (7 days of periodontitis induction), treatment group 2 (11 days of periodontitis induction), and treatment group 3 (14 days of periodontitis induction). The PAI system was controlled by LabVIEW and Arduino IDE software from a personal computer. Results: Results revealed that the optimal frequency of laser modulation for periodontal tissue imaging was 19 kHz with a duty cycle of 50%. The photoacoustic (PA) intensity of periodontal tissues was −68.71 dB for treatment group 3, −70.34 dB for treatment group 2, −71.69 dB for treatment group 1, and −73.07 dB for the control group. PA image analysis showed that the PA intensity from periodontal disease groups was higher than the control group. Conclusion: This study indicates the feasibility of using a simple PAI system to differentiate normal periodontal tissues from periodontitis tissues. Journal of Lasers in Medical Sciences 2022 Other NonPeerReviewed application/pdf en https://repository.ugm.ac.id/284063/1/137.Photoacoustic-Imaging-for-Periodontal-Disease-ExaminationJournal-of-Lasers-in-Medical-Sciences.pdf Sari, Atika Windra and Widyaningrum, Rini and Mitrayana, Mitrayana (2022) Photoacoustic Imaging for Periodontal Disease Examination. Journal of Lasers in Medical Sciences. https://pubmed.ncbi.nlm.nih.gov/36743133/ doi:10.34172/jlms.2022.37. |
| spellingShingle | Optical Physics Sari, Atika Windra Widyaningrum, Rini Mitrayana, Mitrayana Photoacoustic Imaging for Periodontal Disease Examination |
| title | Photoacoustic Imaging for Periodontal Disease Examination |
| title_full | Photoacoustic Imaging for Periodontal Disease Examination |
| title_fullStr | Photoacoustic Imaging for Periodontal Disease Examination |
| title_full_unstemmed | Photoacoustic Imaging for Periodontal Disease Examination |
| title_short | Photoacoustic Imaging for Periodontal Disease Examination |
| title_sort | photoacoustic imaging for periodontal disease examination |
| topic | Optical Physics |
| url | https://repository.ugm.ac.id/284063/1/137.Photoacoustic-Imaging-for-Periodontal-Disease-ExaminationJournal-of-Lasers-in-Medical-Sciences.pdf |
| work_keys_str_mv | AT sariatikawindra photoacousticimagingforperiodontaldiseaseexamination AT widyaningrumrini photoacousticimagingforperiodontaldiseaseexamination AT mitrayanamitrayana photoacousticimagingforperiodontaldiseaseexamination |