Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 096001 |
| Fachzeitschrift | Journal of biomedical optics |
| Jahrgang | 27 |
| Ausgabenummer | 9 |
| Frühes Online-Datum | 30 Aug. 2022 |
| Publikationsstatus | Veröffentlicht - 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.
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Elektronische, optische und magnetische Materialien
- Physik und Astronomie (insg.)
- Atom- und Molekularphysik sowie Optik
- Werkstoffwissenschaften (insg.)
- Biomaterialien
- Ingenieurwesen (insg.)
- Biomedizintechnik
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in: Journal of biomedical optics, Jahrgang 27, Nr. 9, 096001, 08.2022.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Registration of polarimetric images for in vivo skin diagnostics
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
PY - 2022/8
Y1 - 2022/8
N2 - 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.
AB - 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.
KW - biomedical imaging
KW - dermoscopy
KW - image registration
KW - Mueller matrix
KW - polarimetry
UR - http://www.scopus.com/inward/record.url?scp=85137007566&partnerID=8YFLogxK
U2 - 10.1117/1.JBO.27.9.096001
DO - 10.1117/1.JBO.27.9.096001
M3 - Article
C2 - 36042549
AN - SCOPUS:85137007566
VL - 27
JO - Journal of biomedical optics
JF - Journal of biomedical optics
SN - 1083-3668
IS - 9
M1 - 096001
ER -