Registration of polarimetric images for in vivo skin diagnostics

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Original languageEnglish
Article number096001
JournalJournal of biomedical optics
Volume27
Issue number9
Early online date30 Aug 2022
Publication statusPublished - Aug 2022

Abstract

SIGNIFICANCE: Mueller matrix (MM) polarimetry is a promising tool for the detection of skin cancer. Polarimetric in vivo measurements often suffer from misalignment of the polarimetric images due to motion, which can lead to false results. AIM: We aim to provide an easy-to-implement polarimetric image data registration method to ensure proper image alignment. APPROACH: A feature-based image registration is implemented for an MM polarimeter for phantom and in vivo human skin measurements. RESULTS: We show that the keypoint-based registration of polarimetric images is necessary for in vivo skin polarimetry to ensure reliable results. Further, we deliver an efficient semiautomated method for the registration of polarimetric images. CONCLUSIONS: Image registration for in vivo polarimetry of human skin is required for improved diagnostics and can be efficiently enhanced with a keypoint-based approach.

Keywords

    biomedical imaging, dermoscopy, image registration, Mueller matrix, polarimetry

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Registration of polarimetric images for in vivo skin diagnostics. / Jütte, Lennart; Sharma, Gaurav; Harshkuma, Patel et al.
In: Journal of biomedical optics, Vol. 27, No. 9, 096001, 08.2022.

Research output: Contribution to journalArticleResearchpeer review

Jütte L, Sharma G, Harshkuma P, Roth B. Registration of polarimetric images for in vivo skin diagnostics. Journal of biomedical optics. 2022 Aug;27(9):096001. Epub 2022 Aug 30. doi: 10.1117/1.JBO.27.9.096001
Jütte, Lennart ; Sharma, Gaurav ; Harshkuma, Patel et al. / Registration of polarimetric images for in vivo skin diagnostics. In: Journal of biomedical optics. 2022 ; Vol. 27, No. 9.
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title = "Registration of polarimetric images for in vivo skin diagnostics",
abstract = "SIGNIFICANCE: Mueller matrix (MM) polarimetry is a promising tool for the detection of skin cancer. Polarimetric in vivo measurements often suffer from misalignment of the polarimetric images due to motion, which can lead to false results. AIM: We aim to provide an easy-to-implement polarimetric image data registration method to ensure proper image alignment. APPROACH: A feature-based image registration is implemented for an MM polarimeter for phantom and in vivo human skin measurements. RESULTS: We show that the keypoint-based registration of polarimetric images is necessary for in vivo skin polarimetry to ensure reliable results. Further, we deliver an efficient semiautomated method for the registration of polarimetric images. CONCLUSIONS: Image registration for in vivo polarimetry of human skin is required for improved diagnostics and can be efficiently enhanced with a keypoint-based approach.",
keywords = "biomedical imaging, dermoscopy, image registration, Mueller matrix, polarimetry",
author = "Lennart J{\"u}tte and Gaurav Sharma and Patel Harshkuma and Bernhard Roth",
note = "Funding information: This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany{\textquoteright}s Excellence Strategy within the Cluster of Excellence PhoenixD (EXC 2122, Project ID 390833453). This work has been supported by iToBoS (Intelligent Total Body Scanner for Early Detection of Melanoma), project funded by the European Union{\textquoteright}s Horizon 2020 research and innovation program, under grant agreement no. 965221",
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AU - Jütte, Lennart

AU - Sharma, Gaurav

AU - Harshkuma, Patel

AU - Roth, Bernhard

N1 - Funding information: This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy within the Cluster of Excellence PhoenixD (EXC 2122, Project ID 390833453). This work has been supported by iToBoS (Intelligent Total Body Scanner for Early Detection of Melanoma), project funded by the European Union’s Horizon 2020 research and innovation program, under grant agreement no. 965221

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