Virtually and Depth Sensor Generated Moire Pictures in Screening and Treatment of Scoliosis

Akos Antal; Attila Katona; Peter Major; Jozsef Molnar; Norbert Szakaly; Peter Tamás; Klara Wenzel

doi:doi:10.11648/j.optics.s.2015040301.16

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Virtually and Depth Sensor Generated Moire Pictures in Screening and Treatment of Scoliosis

Akos Antal, Attila Katona, Peter Major, Jozsef Molnar, Norbert Szakaly, Peter Tamás, Klara Wenzel

Published in Optics (Volume 4, Issue 3-1)

Received: 30 March 2015 Accepted: 26 July 2015 Published: 7 August 2015

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Abstract

In this paper, different moiré picture generation techniques are presented. This paper presents the basics of moiré effects, a virtual way of moiré generation, depth sensor based moiré picture generation and usage. One of the most common advantages of these methods is rapidity. The computer generated moiré pictures provide an opportunity of screening diagnosis. The depth sensor generated moiré fringes are precise and easy to process. A neural network based reconstruction of vertebral supports both the screening diagnosis and the treatment of scoliosis.

Published in	Optics (Volume 4, Issue 3-1) This article belongs to the Special Issue Optical Techniques for Deformation, Structure and Shape Evaluation
DOI	10.11648/j.optics.s.2015040301.16
Page(s)	24-28
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Moiré, Depth Sensor, Screening of Scoliosis, 3D Model of Vertebral

References

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[3]	R. Smith, H. Zaitoun, T. Coxon, M. Karmo, G. Kaur, G. Townsend, E. F. Harris and Alan Brook, "Defining new dental phenotypes using 3-D image analysis to enhance discrimination and insights into biological processes.", ARCHIVES OF ORAL BIOLOGY DECEMBER (VOL. 54 SUPPLEMENT 1), pp. 118-125, 2009.
[4]	S. Ahn, S. Kim, H. Lee, S. Moon, and I. Chang, "Correlation between a Cutometer® and quantitative evaluation using moire topography in age-related skin elasticity.", SKIN RESEARCH AND TECHNOLOGY, 13, p. 280–284, 2007.
[5]	T. Kawara, "Corneal topography using moiré contour fringes" APPLIED OPTICS 18,, pp. 3675-3678, 1979.
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[7]	L. D'Acquisto, L. Fratini and A.M.Siddiolo, "A modified moiré technique for three-dimensional surface topography", MEASUREMENT SCIENCE AND TECHNOLOGY, pp. 613-622., 2003.
[8]	M. Sezgin and B. Sankur, "Survey over image thresholding techniques and quantitative performance evaluation", JOURNAL OF ELECTRONIC IMAGING, pp. 146-165, 2004.
[9]	K. Wenzel, A. Antal, J. Molnar, B. Toth and P.Tamas, "New Optical Equipment in 3D Surface Measuring", JOURNAL OF AUTOMATION, MOBILE ROBOTICS AND INTELLIGENT SYSTEMS, pp. 29-32, 2010.
[10]	B. Freedman, A. Shpunt, M. Machline and Y. Arieli, "Depth mapping using projected patterns", UNITED STATES PATENT APPLICATION PUBLICATION, PUB., p. US 2010/0118123, 2010.
[11]	D. C. Brown, "Close-Range Camera Calibration", PHOTOGRAMMETRIC ENGENEERING, VOL. 37, NO. 8,, pp. 855-866., 1971,.
[12]	M. Orosz, "Az idiopathiás scoliosis konzervatív kezelése" (in Hungarian), GYERMEKGYOGYÁSZAT 56( 6), pp. 651-657., 2005.
[13]	S. A. Kamal, "Determination of degree of correction of spinal deformity by moire´ topographs" IN. MOIRE´ FRINGE TOPOGRAPHY AND SPINAL DEFORMITY, PROCEEDINGS OF THE 2ND. INTERNATIONAL SYMPOSIUM,” IN GUSTAV FISCHER VERLAG, STUTTGART, 1983.
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[16]	P. Tamas and N. Szakaly, "Decision Help System Supported Datamining", BIOMECHANICA HUNGARICA, pp. 119-127, 2013.

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APA Style

Akos Antal, Attila Katona, Peter Major, Jozsef Molnar, Norbert Szakaly, et al. (2015). Virtually and Depth Sensor Generated Moire Pictures in Screening and Treatment of Scoliosis. Optics, 4(3-1), 24-28. https://doi.org/10.11648/j.optics.s.2015040301.16

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ACS Style

Akos Antal; Attila Katona; Peter Major; Jozsef Molnar; Norbert Szakaly, et al. Virtually and Depth Sensor Generated Moire Pictures in Screening and Treatment of Scoliosis. Optics. 2015, 4(3-1), 24-28. doi: 10.11648/j.optics.s.2015040301.16

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AMA Style

Akos Antal, Attila Katona, Peter Major, Jozsef Molnar, Norbert Szakaly, et al. Virtually and Depth Sensor Generated Moire Pictures in Screening and Treatment of Scoliosis. Optics. 2015;4(3-1):24-28. doi: 10.11648/j.optics.s.2015040301.16

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@article{10.11648/j.optics.s.2015040301.16,
  author = {Akos Antal and Attila Katona and Peter Major and Jozsef Molnar and Norbert Szakaly and Peter Tamás and Klara Wenzel},
  title = {Virtually and Depth Sensor Generated Moire Pictures in Screening and Treatment of Scoliosis},
  journal = {Optics},
  volume = {4},
  number = {3-1},
  pages = {24-28},
  doi = {10.11648/j.optics.s.2015040301.16},
  url = {https://doi.org/10.11648/j.optics.s.2015040301.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.optics.s.2015040301.16},
  abstract = {In this paper, different moiré picture generation techniques are presented. This paper presents the basics of moiré effects, a virtual way of moiré generation, depth sensor based moiré picture generation and usage. One of the most common advantages of these methods is rapidity. The computer generated moiré pictures provide an opportunity of screening diagnosis. The depth sensor generated moiré fringes are precise and easy to process. A neural network based reconstruction of vertebral supports both the screening diagnosis and the treatment of scoliosis.},
 year = {2015}
}

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TY  - JOUR
T1  - Virtually and Depth Sensor Generated Moire Pictures in Screening and Treatment of Scoliosis
AU  - Akos Antal
AU  - Attila Katona
AU  - Peter Major
AU  - Jozsef Molnar
AU  - Norbert Szakaly
AU  - Peter Tamás
AU  - Klara Wenzel
Y1  - 2015/08/07
PY  - 2015
N1  - https://doi.org/10.11648/j.optics.s.2015040301.16
DO  - 10.11648/j.optics.s.2015040301.16
T2  - Optics
JF  - Optics
JO  - Optics
SP  - 24
EP  - 28
PB  - Science Publishing Group
SN  - 2328-7810
UR  - https://doi.org/10.11648/j.optics.s.2015040301.16
AB  - In this paper, different moiré picture generation techniques are presented. This paper presents the basics of moiré effects, a virtual way of moiré generation, depth sensor based moiré picture generation and usage. One of the most common advantages of these methods is rapidity. The computer generated moiré pictures provide an opportunity of screening diagnosis. The depth sensor generated moiré fringes are precise and easy to process. A neural network based reconstruction of vertebral supports both the screening diagnosis and the treatment of scoliosis.
VL  - 4
IS  - 3-1
ER  -

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Author Information

Akos Antal

Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary
Attila Katona

Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary
Peter Major

Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary
Jozsef Molnar

Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary
Norbert Szakaly

Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary
Peter Tamás

Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary
Klara Wenzel

Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary

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Plain Text BibTeX RIS

APA Style

Akos Antal, Attila Katona, Peter Major, Jozsef Molnar, Norbert Szakaly, et al. (2015). Virtually and Depth Sensor Generated Moire Pictures in Screening and Treatment of Scoliosis. Optics, 4(3-1), 24-28. https://doi.org/10.11648/j.optics.s.2015040301.16

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ACS Style

Akos Antal; Attila Katona; Peter Major; Jozsef Molnar; Norbert Szakaly, et al. Virtually and Depth Sensor Generated Moire Pictures in Screening and Treatment of Scoliosis. Optics. 2015, 4(3-1), 24-28. doi: 10.11648/j.optics.s.2015040301.16

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AMA Style

Akos Antal, Attila Katona, Peter Major, Jozsef Molnar, Norbert Szakaly, et al. Virtually and Depth Sensor Generated Moire Pictures in Screening and Treatment of Scoliosis. Optics. 2015;4(3-1):24-28. doi: 10.11648/j.optics.s.2015040301.16

Copy | Download

@article{10.11648/j.optics.s.2015040301.16,
  author = {Akos Antal and Attila Katona and Peter Major and Jozsef Molnar and Norbert Szakaly and Peter Tamás and Klara Wenzel},
  title = {Virtually and Depth Sensor Generated Moire Pictures in Screening and Treatment of Scoliosis},
  journal = {Optics},
  volume = {4},
  number = {3-1},
  pages = {24-28},
  doi = {10.11648/j.optics.s.2015040301.16},
  url = {https://doi.org/10.11648/j.optics.s.2015040301.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.optics.s.2015040301.16},
  abstract = {In this paper, different moiré picture generation techniques are presented. This paper presents the basics of moiré effects, a virtual way of moiré generation, depth sensor based moiré picture generation and usage. One of the most common advantages of these methods is rapidity. The computer generated moiré pictures provide an opportunity of screening diagnosis. The depth sensor generated moiré fringes are precise and easy to process. A neural network based reconstruction of vertebral supports both the screening diagnosis and the treatment of scoliosis.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Virtually and Depth Sensor Generated Moire Pictures in Screening and Treatment of Scoliosis
AU  - Akos Antal
AU  - Attila Katona
AU  - Peter Major
AU  - Jozsef Molnar
AU  - Norbert Szakaly
AU  - Peter Tamás
AU  - Klara Wenzel
Y1  - 2015/08/07
PY  - 2015
N1  - https://doi.org/10.11648/j.optics.s.2015040301.16
DO  - 10.11648/j.optics.s.2015040301.16
T2  - Optics
JF  - Optics
JO  - Optics
SP  - 24
EP  - 28
PB  - Science Publishing Group
SN  - 2328-7810
UR  - https://doi.org/10.11648/j.optics.s.2015040301.16
AB  - In this paper, different moiré picture generation techniques are presented. This paper presents the basics of moiré effects, a virtual way of moiré generation, depth sensor based moiré picture generation and usage. One of the most common advantages of these methods is rapidity. The computer generated moiré pictures provide an opportunity of screening diagnosis. The depth sensor generated moiré fringes are precise and easy to process. A neural network based reconstruction of vertebral supports both the screening diagnosis and the treatment of scoliosis.
VL  - 4
IS  - 3-1
ER  -

Copy | Download