Assessment of perceptual quality for gaze-contingent motion stabilization in robotic assisted minimally invasive surgery.
In: Ayache, N and Ourdelin, S and Maeder, A, (eds.)
Medical Image Computing and Computer-Assisted Intervention- MICCAI 2007, Pt 2, Proceedings.
(pp. 660 - 667).
With the increasing sophistication of surgical robots, the use of motion stabilisation for enhancing the performance of micro-surgical tasks is an actively pursued research topic. The use of mechanical stabilisation devices has certain advantages, in terms of both simplicity and consistency. The technique, however, can complicate the existing surgical workflow and interfere with an already crowded MIS operated cavity. With the advent of reliable vision-based real-time and in situ in vivo techniques on 3D-deformation recovery, current effort is being directed towards the use of optical based techniques for achieving adaptive motion stabilisation. The purpose of this paper is to assess the effect of virtual stabilization on foveal/parafoveal vision during robotic assisted MIS. Detailed psychovisual experiments have been performed. Results show that stabilisation of the whole visual field is not necessary and it is sufficient to perform accurate motion tracking and deformation compensation within a relatively small area that is directly under foveal vision. The results have also confirmed that under the current motion stabilisation regime, the deformation of the periphery does not affect the visual acuity and there is no indication of the deformation velocity of the periphery affecting foveal sensitivity. These findings are expected to have a direct implication on the future design of visual stabilisation methods for robotic assisted MIS.
|Title:||Assessment of perceptual quality for gaze-contingent motion stabilization in robotic assisted minimally invasive surgery|
|Event:||10th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007)|
|Dates:||2007-10-29 - 2007-11-02|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Computer Science|
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