Inter-Band Movement Compensation Method for Hyperspectral Images Based on Spectral Scanning Technology

Abstract

Hyperspectral Imaging (HSI) is a novel non-invasive, label-free technique for rapid medical diagnosis, capable of capturing a wide range of the electromagnetic spectrum in numerous narrow spectral bands. This comprehensive data acquisition poses challenges in clinical settings due to patient movement (e.g., breathing, tremors, heartbeat). This work presents a method to compensate inter-band movements during HSI acquisition using spectral scanning acquisition systems. The system used in this work is based on a Liquid Crystal Tunable Filter (LCTF), featuring a Kurios VBl filter (Thorlabs, USA) and a CSl35 MUN monochrome camera, capturing the visible range (420–730 nm) in successive frames at different wavelengths. The proposed method uses iterative image registration to align each frame with the initial reference frame, correcting for movements along the x-axis, y-axis, and rotational shifts. The system's efficacy was validated using two datasets: static and dynamic. In the first one, the HS images were captured with no motion applied and later they were digitally deformed. The second dataset was acquired employing a custom motion platform. Results show improved alignment and reduced motion artifacts in the resulting HS images, highlighting the potential of the proposed method to improve the reliability of HSI in clinical applications.