Literature DB >> 11091956

Kinematic accuracy of three surface registration methods in a three-dimensional wrist bone study.

C P Neu1, R D McGovern, J J Crisco.   

Abstract

The use of registration techniques to determine motion transformations noninvasively has become more widespread with the increased availability of the necessary software. In this study, three surface registration techniques were used to generate carpal bone kinematic results from a single cadaveric wrist specimen. Surface contours were extracted from specimen computed tomography volume images of the forearm, carpal, and metacarpal bones in four arbitrary positions. Kinematic results from each of three registration techniques were compared with results derived from multiple spherical markers fixed to the specimen. Kinematic accuracy was found to depend on the registration method and bone size and shape. In general, rotation errors of the capitate and scaphoid were less than 0.5 deg for all three techniques. Rotation errors for the other bones were generally less than 2 deg, although error for the trapezoid was greater than 2 deg in one technique. Translation errors of the bones were generally less than 1 mm, although errors of the trapezoid and trapezium were greater than 1 mm for two techniques. Tradeoffs existed in each registration method between image processing time and overall kinematic accuracy. Markerless bone registration (MBR) can provide accurate measurements of carpal kinematics and can be used to study the noninvasive, three-dimensional in vivo kinematics of the wrist and other skeletal joints.

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Year:  2000        PMID: 11091956     DOI: 10.1115/1.1289992

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


  8 in total

1.  Evaluation of achievable registration accuracy of the femur during minimally invasive total hip replacement.

Authors:  F C Popescu; M Viceconti; F Traina; A Toni
Journal:  Med Biol Eng Comput       Date:  2005-07       Impact factor: 2.602

2.  Registration-Based Morphometry for Shape Analysis of the Bones of the Human Wrist.

Authors:  Anand A Joshi; Richard M Leahy; Ramsey D Badawi; Abhijit J Chaudhari
Journal:  IEEE Trans Med Imaging       Date:  2016-02       Impact factor: 10.048

3.  Differences in the Rotation Axes of the Scapholunate Joint During Flexion-Extension and Radial-Ulnar Deviation Motions.

Authors:  Gordon M Best; Zoe E Mack; David R Pichora; Joseph J Crisco; Robin N Kamal; Michael J Rainbow
Journal:  J Hand Surg Am       Date:  2019-07-09       Impact factor: 2.230

4.  μCT-generated carpal cartilage surfaces: validation of a technique.

Authors:  Douglas C Moore; Jane A Casey; Susannah L Gilbert; Joseph J Crisco
Journal:  J Biomech       Date:  2011-07-20       Impact factor: 2.712

5.  Gender differences in capitate kinematics are eliminated after accounting for variation in carpal size.

Authors:  Michael J Rainbow; Joseph J Crisco; Douglas C Moore; Scott W Wolfe
Journal:  J Biomech Eng       Date:  2008-08       Impact factor: 2.097

6.  The advantage of throwing the first stone: how understanding the evolutionary demands of Homo sapiens is helping us understand carpal motion.

Authors:  Rachel S Rohde; Joseph J Crisco; Scott W Wolfe
Journal:  J Am Acad Orthop Surg       Date:  2010-01       Impact factor: 3.020

7.  Regional Distribution of Articular Cartilage Thickness in the Elbow Joint: A 3-Dimensional Study in Elderly Humans.

Authors:  Satoshi Miyamura; Takashi Sakai; Kunihiro Oka; Shingo Abe; Atsuo Shigi; Hiroyuki Tanaka; Shoichi Shimada; Tatsuo Mae; Kazuomi Sugamoto; Hideki Yoshikawa; Tsuyoshi Murase
Journal:  JB JS Open Access       Date:  2019-07-31

8.  Three-dimensional analysis of cervical spine segmental motion in rotation.

Authors:  Xiong Zhao; Zi-Xiang Wu; Bao-Jun Han; Ya-Bo Yan; Yang Zhang; Wei Lei
Journal:  Arch Med Sci       Date:  2013-05-27       Impact factor: 3.318

  8 in total

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