Carolina Raposo1,2, João P Barreto3,4, Cristóvão Sousa4, Luis Ribeiro4, Rui Melo4, João Pedro Oliveira5, Pedro Marques5, Fernando Fonseca5, David Barrett6. 1. Institute of Systems and Robotics, University of Coimbra, Coimbra, Portugal. carolina.raposo@perceive3d.com. 2. Perceive3D, Coimbra, Portugal. carolina.raposo@perceive3d.com. 3. Institute of Systems and Robotics, University of Coimbra, Coimbra, Portugal. 4. Perceive3D, Coimbra, Portugal. 5. Faculty of Medicine, Coimbra Hospital and Universitary Centre, Coimbra, Portugal. 6. Bioengineering Science Research Group, School of Engineering Sciences, University of Southampton, Southampton, UK.
Abstract
PURPOSE: The anterior cruciate ligament 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 are crucial for knee stability, and drilling an adequate bone tunnel is the most technically challenging part of the procedure. This paper presents the first guidance system based solely on intra-operative video for guiding the drilling of the tunnel. METHODS: 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. RESULTS: 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. Experiments also demonstrate that the guided drilling of the tunnel leads to errors as low as 2.5 mm in the footprint and [Formula: see text] in orientation, which compares favourably to other works in the field. CONCLUSION: The high accuracy and short time overhead evinced by the experimental validation combined with no additional incisions or capital equipment make this video-based computer-aided arthroscopy solution an appealing alternative to the existing approaches.
PURPOSE: The anterior cruciate ligament 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 are crucial for knee stability, and drilling an adequate bone tunnel is the most technically challenging part of the procedure. This paper presents the first guidance system based solely on intra-operative video for guiding the drilling of the tunnel. METHODS: 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. RESULTS: 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. Experiments also demonstrate that the guided drilling of the tunnel leads to errors as low as 2.5 mm in the footprint and [Formula: see text] in orientation, which compares favourably to other works in the field. CONCLUSION: The high accuracy and short time overhead evinced by the experimental validation combined with no additional incisions or capital equipment make this video-based computer-aided arthroscopy solution an appealing alternative to the existing approaches.
Entities:
Keywords:
3D registration; Arthroscopy; Computer guidance; Visual tracking
Authors: Brian Forsythe; Sebastian Kopf; Andrew K Wong; Cesar A Q Martins; William Anderst; Scott Tashman; Freddie H Fu Journal: J Bone Joint Surg Am Date: 2010-06 Impact factor: 5.284
Authors: L Maier-Hein; P Mountney; A Bartoli; H Elhawary; D Elson; A Groch; A Kolb; M Rodrigues; J Sorger; S Speidel; D Stoyanov Journal: Med Image Anal Date: 2013-05-03 Impact factor: 8.545
Authors: Miguel Lourenço; João P Barreto; Fernando Fonseca; Hélder Ferreira; Rui M Duarte; Jorge Correia-Pinto Journal: Med Image Comput Comput Assist Interv Date: 2014