Literature DB >> 11011731

Quantitative in vivo analysis of the kinematics of carpal bones from three-dimensional CT images using a deformable surface model and a three-dimensional matching technique.

J G Snel1, H W Venema, T M Moojen, J P Ritt, C A Grimbergen, G J den Heeten.   

Abstract

The purpose of this study was to obtain quantitative information of the relative displacements and rotations of the carpal bones during movement of the wrist. Axial helical CT scans were made of the wrists of 11 volunteers. The wrists were imaged in the neutral position with a conventional CT technique, and in 15-20 other postures (flexion-extension, radial-ulnar deviation) with a low-dose technique. A segmentation of the carpal bones was obtained by applying a deformable surface model to the regular-dose scan. Next, each carpal bone, the radius, and ulna in this scan was registered with the corresponding bone in each low-dose scan using a three-dimensional matching technique. A detailed definition of the surfaces of the carpal bones was obtained from the regular-dose scans. The low-dose scans provided sufficient information to obtain an accurate match of each carpal bone with its counterpart in the regular-dose scan. Accurate estimates of the relative positions and orientations of the carpal bones during flexion and deviation were obtained. This quantification will be especially useful when monitoring changes in kinematics before and after operative interventions, like mini-arthrodeses. This technique can also be applied in the quantification of the movement of other bones in the body (e.g., ankle and cortical spine).

Mesh:

Year:  2000        PMID: 11011731     DOI: 10.1118/1.1289896

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  7 in total

1.  The mechanical axes of the wrist are oriented obliquely to the anatomical axes.

Authors:  Joseph J Crisco; Wendell M R Heard; Ryan R Rich; David J Paller; Scott W Wolfe
Journal:  J Bone Joint Surg Am       Date:  2011-01-19       Impact factor: 5.284

2.  Distinct Wrist Patterns Founded on Measurements in Plain Radiographs.

Authors:  Aviv Kramer; Raviv Allon; Frederick Werner; Idit Lavi; Alon Wolf; Ronit Wollstein
Journal:  J Wrist Surg       Date:  2018-06-17

3.  Carpal and forearm kinematics during a simulated hammering task.

Authors:  Evan L Leventhal; Douglas C Moore; Edward Akelman; Scott W Wolfe; Joseph J Crisco
Journal:  J Hand Surg Am       Date:  2010-07       Impact factor: 2.230

4.  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

5.  Semiautomated three-dimensional segmentation software to quantify carpal bone volume changes on wrist CT scans for arthritis assessment.

Authors:  J Duryea; M Magalnick; S Alli; L Yao; M Wilson; R Goldbach-Mansky
Journal:  Med Phys       Date:  2008-06       Impact factor: 4.071

6.  Validity of a computer-assisted manual segmentation software to quantify wrist erosion volume using computed tomography scans in rheumatoid arthritis.

Authors:  Fausto Salaffi; Marina Carotti; Alessandro Ciapetti; Alarico Ariani; Stefania Gasparini; Walter Grassi
Journal:  BMC Musculoskelet Disord       Date:  2013-09-12       Impact factor: 2.362

7.  Feasibility of a New Desktop Motion Analysis System with a Video Game Console for Assessing Various Three-Dimensional Wrist Motions.

Authors:  Kwang Gi Kim; Chan Soo Park; Suk Ha Jeon; Eui Yub Jung; Jiyun Ha; Sanglim Lee
Journal:  Clin Orthop Surg       Date:  2018-11-21
  7 in total

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