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Registration of polarimetric images for in vivo skin diagnostics
Lennart Jütte1,2, Gaurav Sharma1,2, Harshkumar Patel1,2
1Leibniz 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.
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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