Video-based computer aided arthroscopy for patient specific reconstruction of the Anterior Cruciate Ligament

July 25, 2018 Β· Declared Dead Β· πŸ› International Conference on Medical Image Computing and Computer-Assisted Intervention

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Carolina Raposo, Cristovao Sousa, Luis Ribeiro, Rui Melo, Joao P. Barreto, Joao Oliveira, Pedro Marques, Fernando Fonseca arXiv ID 1807.09627 Category cs.CV: Computer Vision Citations 6 Venue International Conference on Medical Image Computing and Computer-Assisted Intervention Last Checked 4 months ago
Abstract
The Anterior Cruciate Ligament (ACL) tear is a common medical condition that is treated using arthroscopy by pulling a tissue graft through a tunnel opened with a drill. The correct anatomical position and orientation of this tunnel is crucial for knee stability, and drilling an adequate bone tunnel is the most technically challenging part of the procedure. This paper presents, for the first time, a guidance system based solely on intra-operative video for guiding the drilling of the tunnel. Our solution uses small, easily recognizable visual markers that are attached to the bone and tools for estimating their relative pose. A recent registration algorithm is employed for aligning a pre-operative image of the patient's anatomy with a set of contours reconstructed by touching the bone surface with an instrumented tool. Experimental validation using ex-vivo data shows that the method enables the accurate registration of the pre-operative model with the bone, providing useful information for guiding the surgeon during the medical procedure.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Computer Vision

πŸŒ… πŸŒ… Old Age

Fast R-CNN

Ross Girshick

cs.CV πŸ› ICCV πŸ“š 27.7K cites 11 years ago

Died the same way β€” πŸ‘» Ghosted