Surgical Video Motion Magnification with Suppression of Instrument Artefacts

TL;DR

This paper introduces a novel method for surgical video motion magnification that suppresses instrument artefacts, enhancing visualization of blood vessels without distortion from surgical tools, demonstrated on endoscopic pituitary surgery videos.

Contribution

It proposes a new filtering strategy that reduces non-physiological motion artefacts in surgical video magnification, improving accuracy and usability in medical procedures.

Findings

Improved SSIM scores compared to recent methods.

Qualitative analysis shows clearer vessel visualization.

Effective suppression of instrument motion artefacts.

Abstract

Video motion magnification could directly highlight subsurface blood vessels in endoscopic video in order to prevent inadvertent damage and bleeding. Applying motion filters to the full surgical image is however sensitive to residual motion from the surgical instruments and can impede practical application due to aberration motion artefacts. By storing the temporal filter response from local spatial frequency information for a single cardiovascular cycle prior to tool introduction to the scene, a filter can be used to determine if motion magnification should be active for a spatial region of the surgical image. In this paper, we propose a strategy to reduce aberration due to non-physiological motion for surgical video motion magnification. We present promising results on endoscopic transnasal transsphenoidal pituitary surgery with a quantitative comparison to recent methods using Structural Similarity (SSIM), as well as qualitative analysis by comparing spatio-temporal cross sections of the videos and individual frames.