Surgical Imaging and Vision is a growing area of research and an integral part of every endeavour in Robotic Surgery. It has advanced from a pre-operative planning and post-operative assessment tool to emerging platforms for intra-operative guidance and navigation

Advances in imaging have enabled the development of new modalities beyond the conventional whole-body techniques such as MR, CT and US to enable in vivo, in situ tissue characterisation by the use of biophotonics techniques that can be integrated with robotic instruments. The development of 3D vision facilitates structural-functional fusion, accurate focused energy delivery, large-area in vivo microscopic imaging, motion adaptation, visual servoing, and navigation under dynamic active constraints. All these are important for the development of new surgical robots for minimally invasive surgery. 

The Winter School focuses on both technical and clinical aspects of Surgical Imaging and Vision, with invited lectures, hands-on demonstrations, workshops, and mini-projects. The School's focus is to familiarise researchers with the cutting edge research of this rapidly expanding field covering key areas of:

  • Fundamentals and current state-of-the-art in surgical imaging;
  • Vision algorithms for tracking, 3D scene reconstruction and surgical navigation;
  • Intra-operative registration and retargeting;
  • Multi-modal image fusion and real-time augmented reality systems based on inverse realism;
  • Robot assisted large area microscopic imaging and mosaicing;
  • Dynamic active constraints with real-time vision;
  • Vision enabled surgical robot design and miniaturisation.

Participants should have a science or medical degree and typically be at a master, doctoral or postdoctoral level.

 

The 2017 Winter School will take place on Monday 04 to Friday 08 December 2017. More details on the course program be announced shortly, so, please stay tuned.

The Winter School will involve lectures, and hands-on sessions for familiarisation with different robotic platforms, endoscopy, and data collection techniques.

The results will be presented at the final day in pecha-kucha style, and an award will be given to the best team presentation.

Download flyer here.

Event date: 
Monday, December 4, 2017 - 09:00 to Friday, December 8, 2017 - 17:30