Literature DB >> 32619923

Introduction and evaluation of a novel multi-camera surface topography system.

R Michalik1, M Knod2, H Siebers2, M Gatz2, T Dirrichs3, J Eschweiler2, V Quack2, M Betsch2.   

Abstract

BACKGROUND: Surface topography can be used for the evaluation of spinal deformities without any radiation. However, so far this technique is limited to posterior trunk measurements due to the use of a single posterior camera. RESEARCH QUESTION: Purpose of this study was to introduce a new multi camera surface topography system and to test its reliability and validity.
METHODS: The surface topograph uses a two-camera system for imaging and evaluating the subjects front and back simultaneously. Inter- and intra-rater reliability was tested on 40 human subjects by two observers. For validation human, subjects were scanned by MRI and surface-topography. For additional validation we used a phantom with an anthropomorphic body which was scanned by CT and surface topography.
RESULTS: Inter- (0.97-0.99) and intra-rater reliability (0.81-0.98) testing revealed good and excellent results in the detection of the body surface structures and measurement of areas and volumes. CT based validation revealed good correspondence between systems in the imaging and evaluation of the phantom model (0.61-10.52 %). Results on validation of human subjects revealed good to moderate results in the detection and measurements of almost all body surface structures (1.36-13.34 %). Only measurements using jugular notch as a reference showed moderate results in validity (0.62-27.5%) testing. SIGNIFICANCE: We have introduced a novel and innovative surface topography system that allows for simultaneous anterior and posterior trunk measurements. The results of our reliability and validity tests are satisfactory. However, in particular around the jugular notch region further improvements in the surface topography reconstruction are needed.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Body scanner; Multi- camera rasterstereography; Posture; Scoliosis; Spine; Surface topography

Mesh:

Year:  2020        PMID: 32619923     DOI: 10.1016/j.gaitpost.2020.06.016

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  1 in total

1.  Reliability of automated topographic measurements for spine deformity.

Authors:  Benjamin N Groisser; Howard J Hillstrom; Ankush Thakur; Kyle W Morse; Matthew Cunningham; M Timothy Hresko; Ron Kimmel; Alon Wolf; Roger F Widmann
Journal:  Spine Deform       Date:  2022-05-08
  1 in total

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