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Tytuł artykułu

Diagnostic moiré image evaluation in spinal deformities

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper deals with moiré picture evaluation in case of a very frequent spinal deformity, called the Scheuermann’s disease. Spinal deformities often occur in the group of 10–17 year-old children. This Scheuermann-type of spinal deformity is more frequent (11%) than the well-known scoliosis (2–4%), but because of the incorrect diagnosis it often remains without a right treatment. Now the accepted medical diagnostic method is using frontal and lateral X-ray pictures from patients’ back. Our already presented method uses moiré pictures to establish the right diagnosis. This optical method is fast, non-contact and arbitrarily repeatable. In our former paper we presented two computer algorithms to produce the shape of the patients’ spine. These methods showed good agreement with the traditional medical diagnosis, but the extreme search method returned better results. In this paper we are demonstrating our new results using the extreme search method and the improved computer program.
Czasopismo
Rocznik
Strony
375--385
Opis fizyczny
Bibliogr. 23 poz., rys.
Twórcy
autor
  • Budapest University of Technology and Economics, Department of Mechatronics, Optics and Mechanical Engineering Informatics, 1111, Mûegyetem quay 1-3, Budapest, Hungary
autor
  • Budapest University of Technology and Economics, Department of Mechatronics, Optics and Mechanical Engineering Informatics, 1111, Mûegyetem quay 1-3, Budapest, Hungary
autor
  • Budapest University of Technology and Economics, Department of Mechatronics, Optics and Mechanical Engineering Informatics, 1111, Mûegyetem quay 1-3, Budapest, Hungary
Bibliografia
  • [1]WEN-CHIEH YANG, GERALD LIU, CHU-LUNG WU, KUO-CHIH SU, CHIH-HAN CHANG, Developement and evaluation of an airbag brace system for idiopathic scoliosis subjects, Journal of Mechanics in Medicine and Biology 14(2), 2014, article 1450021.
  • [2]RUEY-MO LIN, RONG-SHEAN LEE, YING-MING HUANG, SHOU-I CHEN, CHIN-YIN YU, Analysis of lumbosacral lordosis using standing lateral radiographs through curve reconstruction, Biomedical Engineering: Applications, Basis and Communications 14(4), 2002, pp. 149–156.
  • [3]BALLA P., MANHERTZ G., ANTAL A., Defining of the shape of the spine using moiré method in case of patients with Scheuermann disease, World Academy of Science, Engineering and Technology International Journal of Medical, Health, Pharmaceutical and Biomedical Engineering 8(6), 2014, pp. 332–337.
  • [4]MING-SHIUM HSIEH, MING-DAR TSAI, YI-DER YEH, SHYAN-BIN JOU, Automatic spinal fracture diagnosis and surgical management based on 3D image analysis and reconstruction of CT transverse sections, Biomedical Engineering: Applications, Basis and Communications 14(5), 2002, pp. 204–214.
  • [5]WENZEL K., ANTAL A., MOLNAR J., TÓTH B., TAMÁS P., New optical equipment in 3D surface measuring, Journal of Automation, Mobile Robotics and Intelligent Systems 3(4), 2009, pp. 29–32.
  • [6]MAJOR P., AYHAN D., TAMÁS P., Depth sensors in screening of scoliosis, Biomechanica Hungarica 6(1), 2013, pp. 75–83.
  • [7]SCHEUERMANN H., Kyphosis dorsalis juvenelis, Ugeskrift for Læger 82, 1920, pp. 385–393, (in Danish).
  • [8]SZAKÁLY N., TAMÁS P., TEREBESSY T., VÉGVÁRI D., MARSCHALKÓ P., BASCH L., Internet database of scoliosis screening, Biomechanica Hungarica 6(1), 2013, pp. 103–110.
  • [9]TAMÁS P., MOLNÁR J., SZAKÁLY N., Intelligent corsette for treatment of scoliosis, Biomechanica Hungarica 6(1), 2013, pp. 57–65.
  • [10]TAMÁS P., SZAKÁLY N., Decision help system supported data-mining method, Biomechanica Hungarica 6(1), 2013, pp. 119–127.
  • [11]DANKA L., TRÄGER G., PARÓCZI A., TAMÁS P., MOLNÁR J., SZAKÁLY N., Mechanical scanner of vertebral column, Biomechanica Hungarica 6(1), 2013, pp. 23–29.
  • [12]KATUCH P., DOVICA M., HENRICZYOVA T., Walking mini-robots with compliant body, Proceedings of the Sixth Conference on Mechanical Engineering, I7, May 29–30, 2008, Budapest, Hungary.
  • [13]HYOUNGSEOP KIM, HIDEKI USHIJIMA, JOO KOOI TAN, SEIJI ISHIKAWA, YOSHINORI OTSUKA, HISASHI SHIMIZU, TAKASI SHINOMIYA, Spinal deformity detection from moiré topographic image based on evaluating asymmetric degree, World Congress on Medical Physics and Biomedical Engineering, IFMBE Proceedings 14(4), 2006, pp. 2308–2309.
  • [14]WINDISCHBAUER G., Survey on applications of Moiré-techniques in medicine and biology, [In] Optics in Biomedical Sciences, Vol. 31, Springer Series in Optical Sciences, New York, Springer-Verlag, 1982, pp. 244–249.
  • [15]ARADI P., HORVÁTH G.I., CZMERK A., TEREBESSY T., TAMÁS P., Tracking movement of body-mounted markers through opaque orthotics, Biomechanica Hungarica 6(1), 2013, pp. 93–101.
  • [16]ARADI P., SZAKÁLY N., MOLNÁR J., TAMÁS P., Intelligent corset, [In] Modelling in Medicine and Biology X: Tenth International Conference on Modelling in Medicine and Biology, [Eds.] Kiss R., Brebbia C., Wessex Institute of Technology, Wessex, United Kingdom, 2013, pp. 245–255.
  • [17]Picture downloaded from www.aafp.org, accessed December 9, 2014.
  • [18]NEUGEBAUER H., The different methods of measuring the curvature of scoliotic spine, Moiré Fringe Topography and Spinal Deformity, Proceedings of the 2nd International Symposium, 1983, Gustav Fischer Verlag, Stuttgart, Germany, pp. 17–26.
  • [19]ROSSLER T., HRABOVSKY M., POCHMON M., Moiré methods for measurement of displacement and topography, Czechoslovak Journal of Physics 56(2), 2006, pp. 101–124.
  • [20]CHÊNEAU J., Ein Weg zur richtigen Skoliosebehandlung, Orthopädie Technik 4(222), 1990.
  • [21]PATORSKI K., KUJAWINSKA M., Handbook of the Moiré Fringe Technique, Elsevier Science, New York, 1993.
  • [22]GAÁL Z., ANTAL Á., TAMÁS P., Scoliosis testing features on the basis of electronically generated moiré patterns, Biomechanica Hungarica 3(1), 2010, pp. 84–92.
  • [23]BROOKS R.E., HEFLINGER L.O., Moiré gauging using optical interference patterns, Applied Optics 8(5), 1969, pp. 935–939.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c7d21334-4ff1-4b48-ae3c-0e988beaf159
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