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New visualization tools: computer vision and ultrasound for MIS navigation
Author(s) -
Kilian P.,
Plaskos C.,
Parratte S.,
Argenson J.N. A.,
Stindel E.,
Tonetti J.,
Lavallée S.
Publication year - 2008
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.178
Subject(s) - morphing , echo (communications protocol) , computer science , computer vision , artificial intelligence , digitization , orientation (vector space) , landmark , visualization , point (geometry) , mathematics , computer network , geometry
Background A versatile image acquisition method called echo surgetics has been developed for minimally invasive computer‐assisted orthopaedic procedures. The principle of echo surgetics is to use freehand three‐dimensional (3D) ultrasound to acquire relevant 3D bone surface and point data transcutaneously, eliminating access problems associated with conventional digitizers. The concept has been implemented in three technologies: Echo Point, Echo Matching and Echo Morphing . Methods Cadaver experiments were carried out to evaluate the accuracy of (a) Echo Point for digitization of the anterior pelvic plane (APP) in total hip arthroplasty, and (b) Echo Morphing for reconstructing the distal femur in minimally invasive knee surgery. Results and Conclusions Echo Point provided significantly improved results ( p < 0.001) over conventional digitization where mean tilt errors exceeded 20° . The Echo Morphing experiments demonstrated that with a reasonable number of points (ca. 1000) and initial attitude (IA) error (ca. 5–10 mm and 5–10° ) we can obtain an average accuracy of ∼1 mm that is sufficient for most of clinical applications. Copyright © 2008 John Wiley & Sons, Ltd.