Leibniz Univ. Hannover, Germany.
Hannoversches Zentrum für Optische Technologien, Germany.
J Biomed Opt. 2022 Aug;27(9). doi: 10.1117/1.JBO.27.9.096001.
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.
We aim to provide an easy-to-implement polarimetric image data registration method to ensure proper image alignment.
A feature-based image registration is implemented for an MM polarimeter for phantom and in vivo human skin measurements.
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.
Image registration for in vivo polarimetry of human skin is required for improved diagnostics and can be efficiently enhanced with a keypoint-based approach.
穆勒矩阵（MM）偏振测量是检测皮肤癌的一种很有前途的工具。由于运动，偏振的体内测量通常会遭受偏振图像的失准，这可能导致错误的结果。
我们旨在提供一种易于实现的偏振图像数据配准方法，以确保适当的图像对准。
为用于人体皮肤的 MM 偏振仪的幻影和体内进行了基于特征的图像配准。
我们表明，为了确保可靠的结果，体内皮肤偏振测量中基于关键点的偏振图像配准是必要的。此外，我们提供了一种用于偏振图像配准的高效半自动方法。
对于提高诊断水平，需要对人体皮肤的体内偏振进行图像配准，并且可以通过基于关键点的方法来有效地增强。
