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Article 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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424913 | PMC |
| http://dx.doi.org/10.1117/1.JBO.27.9.096001 | DOI Listing |
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Time-division framework is commonly used in Mueller matrix polarimeters (MPs), which takes extra numbers of images at the same position in an acquisition sequence. In this Letter, we utilize measurement redundancy to raise a unique loss function which can reflect and evaluate the degree of mis-registration of Mueller matrix (MM) polarimetric images. Further, we demonstrate that the constant-step rotating MPs have a self-registration loss function free from systematic errors.
View Article and Find Full Text PDFRegistration of polarimetric images for in vivo skin diagnostics.
J Biomed Opt
August 2022
Leibniz Univ. Hannover, Germany.
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.
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