A technique for quantifying wrist motion using four-dimensional computed tomography: Approach and validation

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Accurate quantification of subtle wrist motion changes resulting from ligament injuries is crucial for diagnosis and prescription of the most effective interventions for preventing progression to osteoarthritis. Current imaging techniques are unable to detect injuries reliably and are static in nature, thereby capturing bone position information rather than motion which is indicative of ligament injury. A recently developed technique, 4D (three dimensions+time) computed tomography (CT) enables three-dimensional volume sequences to be obtained during wrist motion. The next step in successful clinical implementation of the tool is quantification and validation of imaging biomarkers obtained from the four-dimensional computed tomography (4DCT) image sequences. Measures of bone motion and joint proximities are obtained by: segmenting bone volumes in each frame of the dynamic sequence, registering their positions relative to a known static posture, and generating surface polygonal meshes from which minimum distance (proximity) measures can be quantified. Method accuracy was assessed during in vitro simulated wrist movement by comparing a fiducial bead-based determination of bone orientation to a bone-based approach. The reported errors for the 4DCT technique were: 0.00-0.68deg in rotation; 0.02-0.30mm in translation. Results are on the order of the reported accuracy of other image-based kinematic techniques.

Original languageEnglish (US)
Article number074501
JournalJournal of Biomechanical Engineering
Volume137
Issue number7
DOIs
StatePublished - Jul 1 2015

Fingerprint

Four-Dimensional Computed Tomography
Wrist
Tomography
Bone
Bone and Bones
Ligaments
Wounds and Injuries
Imaging techniques
Biomarkers
Posture
Biomechanical Phenomena
Osteoarthritis
Prescriptions
Kinematics
Joints

Keywords

  • carpal kinematics
  • dynamic CT imaging

ASJC Scopus subject areas

  • Biomedical Engineering
  • Physiology (medical)

Cite this

@article{6d65101ce87e424987499077bfb12c54,
title = "A technique for quantifying wrist motion using four-dimensional computed tomography: Approach and validation",
abstract = "Accurate quantification of subtle wrist motion changes resulting from ligament injuries is crucial for diagnosis and prescription of the most effective interventions for preventing progression to osteoarthritis. Current imaging techniques are unable to detect injuries reliably and are static in nature, thereby capturing bone position information rather than motion which is indicative of ligament injury. A recently developed technique, 4D (three dimensions+time) computed tomography (CT) enables three-dimensional volume sequences to be obtained during wrist motion. The next step in successful clinical implementation of the tool is quantification and validation of imaging biomarkers obtained from the four-dimensional computed tomography (4DCT) image sequences. Measures of bone motion and joint proximities are obtained by: segmenting bone volumes in each frame of the dynamic sequence, registering their positions relative to a known static posture, and generating surface polygonal meshes from which minimum distance (proximity) measures can be quantified. Method accuracy was assessed during in vitro simulated wrist movement by comparing a fiducial bead-based determination of bone orientation to a bone-based approach. The reported errors for the 4DCT technique were: 0.00-0.68deg in rotation; 0.02-0.30mm in translation. Results are on the order of the reported accuracy of other image-based kinematic techniques.",
keywords = "carpal kinematics, dynamic CT imaging",
author = "Zhao, {Kristin D} and Ryan Breighner and {Holmes III}, {David R.} and Shuai Leng and McCollough, {Cynthia H} and An, {Kai Nan}",
year = "2015",
month = "7",
day = "1",
doi = "10.1115/1.4030405",
language = "English (US)",
volume = "137",
journal = "Journal of Biomechanical Engineering",
issn = "0148-0731",
publisher = "American Society of Mechanical Engineers(ASME)",
number = "7",

}

TY - JOUR

T1 - A technique for quantifying wrist motion using four-dimensional computed tomography

T2 - Approach and validation

AU - Zhao, Kristin D

AU - Breighner, Ryan

AU - Holmes III, David R.

AU - Leng, Shuai

AU - McCollough, Cynthia H

AU - An, Kai Nan

PY - 2015/7/1

Y1 - 2015/7/1

N2 - Accurate quantification of subtle wrist motion changes resulting from ligament injuries is crucial for diagnosis and prescription of the most effective interventions for preventing progression to osteoarthritis. Current imaging techniques are unable to detect injuries reliably and are static in nature, thereby capturing bone position information rather than motion which is indicative of ligament injury. A recently developed technique, 4D (three dimensions+time) computed tomography (CT) enables three-dimensional volume sequences to be obtained during wrist motion. The next step in successful clinical implementation of the tool is quantification and validation of imaging biomarkers obtained from the four-dimensional computed tomography (4DCT) image sequences. Measures of bone motion and joint proximities are obtained by: segmenting bone volumes in each frame of the dynamic sequence, registering their positions relative to a known static posture, and generating surface polygonal meshes from which minimum distance (proximity) measures can be quantified. Method accuracy was assessed during in vitro simulated wrist movement by comparing a fiducial bead-based determination of bone orientation to a bone-based approach. The reported errors for the 4DCT technique were: 0.00-0.68deg in rotation; 0.02-0.30mm in translation. Results are on the order of the reported accuracy of other image-based kinematic techniques.

AB - Accurate quantification of subtle wrist motion changes resulting from ligament injuries is crucial for diagnosis and prescription of the most effective interventions for preventing progression to osteoarthritis. Current imaging techniques are unable to detect injuries reliably and are static in nature, thereby capturing bone position information rather than motion which is indicative of ligament injury. A recently developed technique, 4D (three dimensions+time) computed tomography (CT) enables three-dimensional volume sequences to be obtained during wrist motion. The next step in successful clinical implementation of the tool is quantification and validation of imaging biomarkers obtained from the four-dimensional computed tomography (4DCT) image sequences. Measures of bone motion and joint proximities are obtained by: segmenting bone volumes in each frame of the dynamic sequence, registering their positions relative to a known static posture, and generating surface polygonal meshes from which minimum distance (proximity) measures can be quantified. Method accuracy was assessed during in vitro simulated wrist movement by comparing a fiducial bead-based determination of bone orientation to a bone-based approach. The reported errors for the 4DCT technique were: 0.00-0.68deg in rotation; 0.02-0.30mm in translation. Results are on the order of the reported accuracy of other image-based kinematic techniques.

KW - carpal kinematics

KW - dynamic CT imaging

UR - http://www.scopus.com/inward/record.url?scp=84930943990&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84930943990&partnerID=8YFLogxK

U2 - 10.1115/1.4030405

DO - 10.1115/1.4030405

M3 - Article

C2 - 25901447

AN - SCOPUS:84930943990

VL - 137

JO - Journal of Biomechanical Engineering

JF - Journal of Biomechanical Engineering

SN - 0148-0731

IS - 7

M1 - 074501

ER -