Quality control in clinical raster-scan optoacoustic mesoscopy
Optoacoustic (photoacoustic) mesoscopy bridges the gap between optoacoustic microscopy and macroscopy and enables high-resolution visualization deeper than optical microscopy. Nevertheless, as images may be affected by motion and noise, it is critical to develop methodologies that offer standardizat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | Photoacoustics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213597923001350 |
| _version_ | 1797348662337077248 |
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| author | Hailong He Chiara Fischer Ulf Darsow Juan Aguirre Vasilis Ntziachristos |
| author_facet | Hailong He Chiara Fischer Ulf Darsow Juan Aguirre Vasilis Ntziachristos |
| author_sort | Hailong He |
| collection | DOAJ |
| description | Optoacoustic (photoacoustic) mesoscopy bridges the gap between optoacoustic microscopy and macroscopy and enables high-resolution visualization deeper than optical microscopy. Nevertheless, as images may be affected by motion and noise, it is critical to develop methodologies that offer standardization and quality control to ensure that high-quality datasets are reproducibly obtained from patient scans. Such development is particularly important for ensuring reliability in applying machine learning methods or for reliably measuring disease biomarkers. We propose herein a quality control scheme to assess the quality of data collected. A reference scan of a suture phantom is performed to characterize the system noise level before each raster-scan optoacoustic mesoscopy (RSOM) measurement. Using the recorded RSOM data, we develop a method that estimates the amount of motion in the raw data. These motion metrics are employed to classify the quality of raw data collected and derive a quality assessment index (QASIN) for each raw measurement. Using simulations, we propose a selection criterion of images with sufficient QASIN, leading to the compilation of RSOM datasets with consistent quality. Using 160 RSOM measurements from healthy volunteers, we show that RSOM images that were selected using QASIN were of higher quality and fidelity compared to non-selected images. We discuss how this quality control scheme can enable the standardization of RSOM images for clinical and biomedical applications. |
| first_indexed | 2024-03-08T12:09:09Z |
| format | Article |
| id | doaj.art-dbe7d1e7bb74407f87554bdfb9396c2f |
| institution | Directory Open Access Journal |
| issn | 2213-5979 |
| language | English |
| last_indexed | 2024-03-08T12:09:09Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Photoacoustics |
| spelling | doaj.art-dbe7d1e7bb74407f87554bdfb9396c2f2024-01-23T04:15:38ZengElsevierPhotoacoustics2213-59792024-02-0135100582Quality control in clinical raster-scan optoacoustic mesoscopyHailong He0Chiara Fischer1Ulf Darsow2Juan Aguirre3Vasilis Ntziachristos4Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany; Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, GermanyDepartment of Dermatology and Allergy, Technical University of Munich, Munich, GermanyDepartment of Dermatology and Allergy, Technical University of Munich, Munich, GermanyDepartamento de Tecnología Electrónica y de las Comunicaciones, Universidad Autónoma de Madrid, Madrid, Spain; Instituto de Investigación Sanitaria de la Fundación Jimenez Diaz, Madrid, SpainInstitute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany; Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany; Corresponding author at: Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.Optoacoustic (photoacoustic) mesoscopy bridges the gap between optoacoustic microscopy and macroscopy and enables high-resolution visualization deeper than optical microscopy. Nevertheless, as images may be affected by motion and noise, it is critical to develop methodologies that offer standardization and quality control to ensure that high-quality datasets are reproducibly obtained from patient scans. Such development is particularly important for ensuring reliability in applying machine learning methods or for reliably measuring disease biomarkers. We propose herein a quality control scheme to assess the quality of data collected. A reference scan of a suture phantom is performed to characterize the system noise level before each raster-scan optoacoustic mesoscopy (RSOM) measurement. Using the recorded RSOM data, we develop a method that estimates the amount of motion in the raw data. These motion metrics are employed to classify the quality of raw data collected and derive a quality assessment index (QASIN) for each raw measurement. Using simulations, we propose a selection criterion of images with sufficient QASIN, leading to the compilation of RSOM datasets with consistent quality. Using 160 RSOM measurements from healthy volunteers, we show that RSOM images that were selected using QASIN were of higher quality and fidelity compared to non-selected images. We discuss how this quality control scheme can enable the standardization of RSOM images for clinical and biomedical applications.http://www.sciencedirect.com/science/article/pii/S2213597923001350PhotoacousticSkin imagingQuality evaluationOptoacoustic mesoscopyMotion correction |
| spellingShingle | Hailong He Chiara Fischer Ulf Darsow Juan Aguirre Vasilis Ntziachristos Quality control in clinical raster-scan optoacoustic mesoscopy Photoacoustics Photoacoustic Skin imaging Quality evaluation Optoacoustic mesoscopy Motion correction |
| title | Quality control in clinical raster-scan optoacoustic mesoscopy |
| title_full | Quality control in clinical raster-scan optoacoustic mesoscopy |
| title_fullStr | Quality control in clinical raster-scan optoacoustic mesoscopy |
| title_full_unstemmed | Quality control in clinical raster-scan optoacoustic mesoscopy |
| title_short | Quality control in clinical raster-scan optoacoustic mesoscopy |
| title_sort | quality control in clinical raster scan optoacoustic mesoscopy |
| topic | Photoacoustic Skin imaging Quality evaluation Optoacoustic mesoscopy Motion correction |
| url | http://www.sciencedirect.com/science/article/pii/S2213597923001350 |
| work_keys_str_mv | AT hailonghe qualitycontrolinclinicalrasterscanoptoacousticmesoscopy AT chiarafischer qualitycontrolinclinicalrasterscanoptoacousticmesoscopy AT ulfdarsow qualitycontrolinclinicalrasterscanoptoacousticmesoscopy AT juanaguirre qualitycontrolinclinicalrasterscanoptoacousticmesoscopy AT vasilisntziachristos qualitycontrolinclinicalrasterscanoptoacousticmesoscopy |