Surgical Augmented Reality with Topological Changes

The visualization of internal structures of organs in minimally invasive surgery is an important avenue for improving the perception of the surgeon, or for supporting planning and decision systems. However, current methods dealing with non-rigid augmented reality only provide augmentation when the topology of the organ is not modified. In this paper we solve this shortcoming by introducing a method for physics-based non-rigid augmented reality. Singularities caused by topological changes are detected and propagated to the pre-operative model. This significantly improves the coherence between the actual laparascopic view and the model, and provides added value in terms of navigation and decision making. Our real time augmentation algorithm is assessed on a video showing the cut of a porcine liver’s lobe in minimal invasive surgery.

C. Paulus , N. Haouchine , D. Cazier , S. Cotin

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , Volume 9349 , page 413-420 - 2015
Additionnal material

International conference with proceedings Surgical Augmented Reality with Topological Changes, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Munich, Germany, pages 413-420, Lecture Notes in Computer Science, Volume 9349, novembre 2015. Core Rank A, Oral long paper, Acceptance rate : 4.44%, doi:10.1007/978-3-319-24553-9_51, Oral, Long, ( Submitted papers : 810; Accepted papers : 263 full-papers, 36 oral-long-papers; acceptance rate : 4.44% ) Research team : IGG

@Inproceedings{4-PHCC15,
 author = {Paulus, C. and Haouchine, N. and Cazier, D. and Cotin, S.},
 title = {Surgical Augmented Reality with Topological Changes},
 booktitle  = {International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},
 series = {Lecture Notes in Computer Science},
 volume = {9349},
 pages = {413-420},
 month = {Nov},
 year = {2015},
 note = {Core Rank A,  Oral long paper, Acceptance rate : 4.44%},
 type = {Selective conference},
 doi = {10.1007/978-3-319-24553-9_51},
 x-international-audience = {Yes},
 x-language = {EN},
 url = {http://icube-publis.unistra.fr/4-PHCC15}
}