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A non-ionizing technique for three-dimensional measurement of the lumbar spine

Comprehensive assessments of scoliotic deformity and spinal instability require repetitive three-dimensional (3D) measurements of motion segments at different functional postures. However, accurate 3D measurement of the spine is a challenging task. In this paper, we present a novel, non-invasive, no... Full description

Journal Title: Journal of Biomechanics 08 December 2016, Vol.49(16), pp.4073-4079
Main Author: Koo, Terry K
Other Authors: Kwok, Wingchi Edmund
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0021-9290 ; E-ISSN: 1873-2380 ; DOI: 10.1016/j.jbiomech.2016.10.048
Link: http://dx.doi.org/10.1016/j.jbiomech.2016.10.048
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recordid: elsevier_sdoi_10_1016_j_jbiomech_2016_10_048
title: A non-ionizing technique for three-dimensional measurement of the lumbar spine
format: Article
creator:
  • Koo, Terry K
  • Kwok, Wingchi Edmund
subjects:
  • Ultrasound
  • Magnetic Resonance Imaging
  • Registration
  • Lumbar Spine
  • Segmental Kinematics
  • Ultrasound
  • Magnetic Resonance Imaging
  • Registration
  • Lumbar Spine
  • Segmental Kinematics
  • Medicine
  • Engineering
  • Anatomy & Physiology
ispartof: Journal of Biomechanics, 08 December 2016, Vol.49(16), pp.4073-4079
description: Comprehensive assessments of scoliotic deformity and spinal instability require repetitive three-dimensional (3D) measurements of motion segments at different functional postures. However, accurate 3D measurement of the spine is a challenging task. In this paper, we present a novel, non-invasive, non-ionizing technique to quantify 3D poses of lumbar motion segments in terms of clinically meaningful anatomical coordinates. The technique used ultra-short echo time (UTE) magnetic resonance (MR) images to construct subject-specific geometrical models of individual vertebrae and registered them with 3D ultrasound dataset acquired during pose measurements. A hierarchical registration approach was used to minimize the detrimental effects of speckle noise and artifacts within soft tissues on registration accuracy. The technique was validated using a human dry bone specimen as well as a fresh porcine cadaver. Registration errors were determined by comparing with a gold standard fiducial-based...
language: eng
source:
identifier: ISSN: 0021-9290 ; E-ISSN: 1873-2380 ; DOI: 10.1016/j.jbiomech.2016.10.048
fulltext: fulltext
issn:
  • 0021-9290
  • 00219290
  • 1873-2380
  • 18732380
url: Link


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subjectUltrasound ; Magnetic Resonance Imaging ; Registration ; Lumbar Spine ; Segmental Kinematics ; Ultrasound ; Magnetic Resonance Imaging ; Registration ; Lumbar Spine ; Segmental Kinematics ; Medicine ; Engineering ; Anatomy & Physiology
descriptionComprehensive assessments of scoliotic deformity and spinal instability require repetitive three-dimensional (3D) measurements of motion segments at different functional postures. However, accurate 3D measurement of the spine is a challenging task. In this paper, we present a novel, non-invasive, non-ionizing technique to quantify 3D poses of lumbar motion segments in terms of clinically meaningful anatomical coordinates. The technique used ultra-short echo time (UTE) magnetic resonance (MR) images to construct subject-specific geometrical models of individual vertebrae and registered them with 3D ultrasound dataset acquired during pose measurements. A hierarchical registration approach was used to minimize the detrimental effects of speckle noise and artifacts within soft tissues on registration accuracy. The technique was validated using a human dry bone specimen as well as a fresh porcine cadaver. Registration errors were determined by comparing with a gold standard fiducial-based...
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Comprehensive assessments of scoliotic deformity and spinal instability require repetitive three-dimensional (3D) measurements of motion segments at different functional postures. However, accurate 3D measurement of the spine is a challenging task. In this paper, we present a novel, non-invasive, non-ionizing technique to quantify 3D poses of lumbar motion segments in terms of clinically meaningful anatomical coordinates. The technique used ultra-short echo time (UTE) magnetic resonance (MR) images to construct subject-specific geometrical models of individual vertebrae and registered them with 3D ultrasound dataset acquired during pose measurements. A hierarchical registration approach was used to minimize the detrimental effects of speckle noise and artifacts within soft tissues on registration accuracy. The technique was validated using a human dry bone specimen as well as a fresh porcine cadaver. Registration errors were determined by comparing with a gold standard fiducial-based...

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