Literature DB >> 12751286

In-vivo measurement of dynamic joint motion using high speed biplane radiography and CT: application to canine ACL deficiency.

Scott Tashman1, William Anderst.   

Abstract

Dynamic assessment of three-dimensional (3D) skeletal kinematics is essential for understanding normal joint function as well as the effects of injury or disease. This paper presents a novel technique for measuring in-vivo skeletal kinematics that combines data collected from high-speed biplane radiography and static computed tomography (CT). The goals of the present study were to demonstrate that highly precise measurements can be obtained during dynamic movement studies employing high frame-rate biplane video-radiography, to develop a method for expressing joint kinematics in an anatomically relevant coordinate system and to demonstrate the application of this technique by calculating canine tibio-femoral kinematics during dynamic motion. The method consists of four components: the generation and acquisition of high frame rate biplane radiographs, identification and 3D tracking of implanted bone markers, CT-based coordinate system determination, and kinematic analysis routines for determining joint motion in anatomically based coordinates. Results from dynamic tracking of markers inserted in a phantom object showed the system bias was insignificant (-0.02 mm). The average precision in tracking implanted markers in-vivo was 0.064 mm for the distance between markers and 0.31 degree for the angles between markers. Across-trial standard deviations for tibio-femoral translations were similar for all three motion directions, averaging 0.14 mm (range 0.08 to 0.20 mm). Variability in tibio-femoral rotations was more dependent on rotation axis, with across-trial standard deviations averaging 1.71 degrees for flexion/extension, 0.90 degree for internal/external rotation, and 0.40 degree for varus/valgus rotation. Advantages of this technique over traditional motion analysis methods include the elimination of skin motion artifacts, improved tracking precision and the ability to present results in a consistent anatomical reference frame.

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Mesh:

Year:  2003        PMID: 12751286     DOI: 10.1115/1.1559896

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  87 in total

1.  Are the kinematics of the knee joint altered during the loading response phase of gait in individuals with concurrent knee osteoarthritis and complaints of joint instability? A dynamic stereo X-ray study.

Authors:  Shawn Farrokhi; Scott Tashman; Alexandra B Gil; Brian A Klatt; G Kelley Fitzgerald
Journal:  Clin Biomech (Bristol, Avon)       Date:  2011-11-08       Impact factor: 2.063

Review 2.  Dynamic knee laxity measurement devices.

Authors:  Mattias Ahldén; Yuichi Hoshino; Kristian Samuelsson; Paulo Araujo; Volker Musahl; Jón Karlsson
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-12-31       Impact factor: 4.342

3.  Internal tibial rotation during in vivo, dynamic activity induces greater sliding of tibio-femoral joint contact on the medial compartment.

Authors:  Yuichi Hoshino; Scott Tashman
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-10-25       Impact factor: 4.342

4.  Prosthetic component segmentation with blur compensation: a fast method for 3D fluoroscopy.

Authors:  Giacomo Tarroni; Luca Tersi; Cristiana Corsi; Rita Stagni
Journal:  Med Biol Eng Comput       Date:  2012-03-27       Impact factor: 2.602

5.  Dynamic CT technique for assessment of wrist joint instabilities.

Authors:  Shuai Leng; Kristin Zhao; Mingliang Qu; Kai-Nan An; Richard Berger; Cynthia H McCollough
Journal:  Med Phys       Date:  2011-07       Impact factor: 4.071

Review 6.  Fluoroscopy-based tracking of femoral kinematics with statistical shape models.

Authors:  Marta Valenti; Elena De Momi; Weimin Yu; Giancarlo Ferrigno; Mohsen Akbari Shandiz; Carolyn Anglin; Guoyan Zheng
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-09-26       Impact factor: 2.924

7.  Multibody dynamic simulation of knee contact mechanics.

Authors:  Yanhong Bei; Benjamin J Fregly
Journal:  Med Eng Phys       Date:  2004-11       Impact factor: 2.242

8.  Accuracy and feasibility of dual fluoroscopy and model-based tracking to quantify in vivo hip kinematics during clinical exams.

Authors:  Ashley L Kapron; Stephen K Aoki; Christopher L Peters; Steve A Maas; Michael J Bey; Roger Zauel; Andrew E Anderson
Journal:  J Appl Biomech       Date:  2014-02-25       Impact factor: 1.833

9.  Using relative velocity vectors to reveal axial rotation about the medial and lateral compartment of the knee.

Authors:  William J Anderst; Scott Tashman
Journal:  J Biomech       Date:  2009-12-14       Impact factor: 2.712

10.  High-speed X-ray video demonstrates significant skin movement errors with standard optical kinematics during rat locomotion.

Authors:  Jay M Bauman; Young-Hui Chang
Journal:  J Neurosci Methods       Date:  2009-11-10       Impact factor: 2.390

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