PROJECT TITLE :

Training for Planning Tumour Resection: Augmented Reality and Human Factors

ABSTRACT:

Coming up with surgical interventions may be a complicated task, demanding a high degree of perceptual, cognitive, and sensorimotor skills to scale back intra- and post-operative complications. This method needs spatial reasoning to coordinate between the preoperatively acquired medical pictures and patient reference frames. Within the case of neurosurgical interventions, ancient approaches to planning tend to focus on providing a suggests that for visualizing medical images, but rarely support transformation between totally different spatial reference frames. Therefore, surgeons usually depend on their previous experience and intuition as their sole guide is to perform mental transformation. In case of junior residents, this could result in longer operation times or increased probability of error underneath further cognitive demands. In this paper, we have a tendency to introduce a mixed augmented-/virtual-reality system to facilitate coaching for planning a common neurosurgical procedure, brain tumour resection. The proposed system is meant and evaluated with human factors explicitly in mind, alleviating the problem of mental transformation. Our results indicate that, compared to standard coming up with environments, the proposed system greatly improves the nonclinicians’ performance, independent of the sensorimotor tasks performed ($p,<,zero.01$ ). Furthermore, the use of the proposed system by clinicians resulted during a important reduction in time to perform clinically relevant tasks ($p,<,zero.05$ ). These results demonstrate the role of mixed-reality systems in helping residents to develop necessary spatial reasoning skills required for coming up with brain tumour resection, improving patient outcomes.