Literature DB >> 16488223

Analysis of skin movement with respect to flexional bone motion using MR images of a hand.

Jae Hun Ryu1, Natsuki Miyata, Makiko Kouchi, Masaaki Mochimaru, Kwan H Lee.   

Abstract

This study describes the methodology for analyzing skin movement with respect to the predefined flexional motion of the hand. The 3D in vivo geometric data were acquired through magnetic resonance (MR) scanning of multiple hands in various postures. Custom software was developed to segment MR images and to generate polygonal isosurfaces. A new bone coordinate system (BCS) was defined to describe the skin movement measured with the skin-surface markers. The BCS was defined by the surface registration technique, which could minimize the distance among the 3D polygonal surfaces of different postures. MR images of six subjects in the 3 postures were captured with skin-surface markers for the experiment. Skin movement on the second metacarpal bone, which was fixed during the flexional motion, ranged from 1.169 to 10.885 mm. While the distance of the skin movement varied from one subject to another, a common skin movement direction was observed among the six subjects. For the repeatability evaluation of the proposed method, the MR images of the same subject were independently processed 10 times by a trained operator. The standard deviation of the skin movement on the second metacarpal of the index finger with respect to the predefined flexional motion ranged from 0.45 to 0.74 mm.

Mesh:

Year:  2006        PMID: 16488223     DOI: 10.1016/j.jbiomech.2005.02.001

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  10 in total

1.  Robust identification of three-dimensional thumb and index finger kinematics with a minimal set of markers.

Authors:  Raviraj Nataraj; Zong-Ming Li
Journal:  J Biomech Eng       Date:  2013-09       Impact factor: 2.097

2.  A digit alignment device for kinematic analysis of the thumb and index finger.

Authors:  Zhilei Liu Shen; Tracy A Mondello; Raviraj Nataraj; Mathieu F Domalain; Zong-Ming Li
Journal:  Gait Posture       Date:  2012-05-23       Impact factor: 2.840

3.  In vitro kinematics of the proximal interphalangeal joint in the finger after progressive disruption of the main supporting structures.

Authors:  Paolo Caravaggi; Benhoor Shamian; Linda Uko; Linda Chen; Eitan Melamed; John T Capo
Journal:  Hand (N Y)       Date:  2015-09

4.  Integration of marker and force data to compute three-dimensional joint moments of the thumb and index finger digits during pinch.

Authors:  Raviraj Nataraj; Zong-Ming Li
Journal:  Comput Methods Biomech Biomed Engin       Date:  2013-08-15       Impact factor: 1.763

Review 5.  Ergonomic evaluation of biomechanical hand function.

Authors:  Kyung-Sun Lee; Myung-Chul Jung
Journal:  Saf Health Work       Date:  2014-09-22

6.  Measuring 3D Hand and Finger Kinematics-A Comparison between Inertial Sensing and an Opto-Electronic Marker System.

Authors:  Josien C van den Noort; Henk G Kortier; Nathalie van Beek; DirkJan H E J Veeger; Peter H Veltink
Journal:  PLoS One       Date:  2016-11-03       Impact factor: 3.240

7.  Quantifying Soft Tissue Artefacts and Imaging Variability in Motion Capture of the Fingers.

Authors:  C D Metcalf; C Phillips; A Forrester; J Glodowski; K Simpson; C Everitt; A Darekar; L King; D Warwick; A S Dickinson
Journal:  Ann Biomed Eng       Date:  2020-02-19       Impact factor: 3.934

8.  A Simple Algorithm for Assimilating Marker-Based Motion Capture Data During Periodic Human Movement Into Models of Multi-Rigid-Body Systems.

Authors:  Yasuyuki Suzuki; Takuya Inoue; Taishin Nomura
Journal:  Front Bioeng Biotechnol       Date:  2018-10-18

9.  Soft tissue artefacts of the human back: comparison of the sagittal curvature of the spine measured using skin markers and an open upright MRI.

Authors:  Roland Zemp; Renate List; Turgut Gülay; Jean Pierre Elsig; Jaroslav Naxera; William R Taylor; Silvio Lorenzetti
Journal:  PLoS One       Date:  2014-04-18       Impact factor: 3.240

10.  A Pilot Study to Assess the Reliability of Sensing Joint Acoustic Emissions of the Wrist.

Authors:  Daniel M Hochman; Sevda Gharehbaghi; Daniel C Whittingslow; Omer T Inan
Journal:  Sensors (Basel)       Date:  2020-07-30       Impact factor: 3.576

  10 in total

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