Literature DB >> 18183446

Fully automated computer algorithm for calculating articular contact points with application to knee biomechanics.

Alon Wolf1, Branislav Jaramaz, Patricia E Murtha.   

Abstract

A fully automated computer algorithm for calculating the articular contact points between two bone surface models is presented. The algorithm requires the bone surface models and their relative positions as inputs in order to resolve the articular contact path. In the case of surface model overlap due to measurement errors or as a solution of an optimization procedure, the result is a volumetric estimation of the space confined between the two surfaces. The algorithm is based on attaching a grid of lines to one bone surface model and calculating the intersecting points of each of the lines in the grid with both bone surface models. The contact points are then determined as the closest points between the surfaces along the lines in the grid. The same contact points are used to evaluate any volume that is confined between two overlapping surface models. The algorithm is ideal for use in biomechanical studies, simulations of joint motion, and optimizations that require an iterative process to determine contact path and relative bone position. The algorithm is applied to a Sawbones knee model that is moved from flexion to extension while being tracked by an optical tracking system. The contact path of the two bones is generated and an example of calculating bone impingement is provided.

Mesh:

Year:  2008        PMID: 18183446     DOI: 10.1007/s11517-007-0297-4

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  20 in total

1.  In vivo three-dimensional knee kinematics using a biplanar image-matching technique.

Authors:  T Asano; M Akagi; K Tanaka; J Tamura; T Nakamura
Journal:  Clin Orthop Relat Res       Date:  2001-07       Impact factor: 4.176

2.  Three-dimensional determination of femoral-tibial contact positions under in vivo conditions using fluoroscopy.

Authors:  William A. Hoff; Richard D. Komistek; Douglas A. Dennis; Stefan M. Gabriel; Scott A. Walker
Journal:  Clin Biomech (Bristol, Avon)       Date:  1998-10       Impact factor: 2.063

3.  A computational model of postoperative knee kinematics.

Authors:  E Chen; R E Ellis; J T Bryant; J F Rudan
Journal:  Med Image Anal       Date:  2001-12       Impact factor: 8.545

4.  Glenohumeral articular contact areas and pressures following labral and osseous injury to the anteroinferior quadrant of the glenoid.

Authors:  Patrick E Greis; Matthew G Scuderi; Alexander Mohr; Kent N Bachus; Robert T Burks
Journal:  J Shoulder Elbow Surg       Date:  2002 Sep-Oct       Impact factor: 3.019

5.  Evaluation of a method to map tibiofemoral contact points in the normal knee using MRI.

Authors:  Jennifer M Scarvell; Paul N Smith; Kathryn M Refshauge; Howard R Galloway; Kevin R Woods
Journal:  J Orthop Res       Date:  2004-07       Impact factor: 3.494

6.  A mathematical model for the evaluation of the behaviour during flexion of condylar-type knee prostheses.

Authors:  J R Essinger; P F Leyvraz; J H Heegard; D D Robertson
Journal:  J Biomech       Date:  1989       Impact factor: 2.712

7.  In vivo kinematics of cruciate-retaining and -substituting knee arthroplasties.

Authors:  S A Banks; G D Markovich; W A Hodge
Journal:  J Arthroplasty       Date:  1997-04       Impact factor: 4.757

8.  A three-dimensional mathematical model of the knee-joint.

Authors:  J Wismans; F Veldpaus; J Janssen; A Huson; P Struben
Journal:  J Biomech       Date:  1980       Impact factor: 2.712

9.  Quantification of patellofemoral joint contact area using magnetic resonance imaging.

Authors:  Jacklyn Heino Brechter; Christopher M Powers; Michael R Terk; Samuel R Ward; Thay Q Lee
Journal:  Magn Reson Imaging       Date:  2003-11       Impact factor: 2.546

10.  In vivo tibiofemoral contact analysis using 3D MRI-based knee models.

Authors:  Louis E DeFrate; Hao Sun; Thomas J Gill; Harry E Rubash; Guoan Li
Journal:  J Biomech       Date:  2004-10       Impact factor: 2.712

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.