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