Table of Contents Author Guidelines Submit a Manuscript
Journal of Healthcare Engineering
Volume 2017, Article ID 5134021, 9 pages
https://doi.org/10.1155/2017/5134021
Research Article

A 3D Scan Model and Thermal Image Data Fusion Algorithms for 3D Thermography in Medicine

1Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic
2Faculty of Information Technology, IT4Innovations Centre of Excellence, Brno University of Technology, Brno, Czech Republic

Correspondence should be addressed to Adam Chromy; zc.rbtuv.cetiec@ymorhc.mada

Received 6 April 2017; Revised 3 September 2017; Accepted 4 October 2017; Published 8 November 2017

Academic Editor: David Moratal

Copyright © 2017 Adam Chromy and Ondrej Klima. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. V. C. Coffey, “Multispectral imaging moves into the mainstream,” Optics & Photonics News, vol. 23, no. 4, pp. 18–24, 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. J. T. Hardwicke, O. Osmani, and J. M. Skillman, “Detection of perforators using smartphone thermal imaging,” Plastic and Reconstructive Surgery, vol. 137, no. 1, pp. 39–41, 2016. View at Publisher · View at Google Scholar · View at Scopus
  3. R. Vardasca and R. Simoes, “Current issues in medical thermography,” in Topics in Medical Image Processing and Computational Vision, pp. 223–237, Springer, Dordrecht, 2013. View at Publisher · View at Google Scholar
  4. X. Ju, J.-C. Nebel, and J. P. Siebert, “3D thermography imaging standardization technique for inflammation diagnosis,” in Proceedings Volume 5640, Infrared Components and Their Applications, H. Gong, Y. Cai, and J.-P. Chatard, Eds., p. 266, 2005. View at Publisher · View at Google Scholar · View at Scopus
  5. T.-C. Chang, Y.-L. Hsiao, and S.-L. Liao, “Application of digital infrared thermal imaging in determining inflammatory state and follow-up effect of methylprednisolone pulse therapy in patients with Graves’ ophthalmopathy,” Graefe's Archive for Clinical and Experimental Ophthalmology, vol. 246, no. 1, pp. 45–49, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. J. H. Park, “Digital restoration of Seokguram Grotto: the digital archiving and the exhibition of South Korea’s representative UNESCO world heritage,” in 2012 International Symposium on Ubiquitous Virtual Reality (ISUVR), vol. 2012, pp. 26–29, Adaejeon, South Korea, 2012. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Klein, M. Avery, G. Adams, A. Guy, P. Stephen, and S. Steve, “From scan to print: 3D printing as a means for replication,” in 2014 International Conference on Digital Printing Technologies, 2014.
  8. A. Chromy and L. Zalud, “Robotic 3D scanner as an alternative to standard modalities of medical imaging,” SpringerPlus, vol. 3, no. 1, p. 13, 2014. View at Publisher · View at Google Scholar · View at Scopus
  9. L. Zalud and P. Kocmanova, “Fusion of thermal imaging and CCD camera-based data for stereovision visual telepresence,” in 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), Linkoping, Sweden, 2013. View at Publisher · View at Google Scholar · View at Scopus
  10. F. Bernardini and H. Rushmeier, “The 3D model acquisition pipeline,” Computer Graphics Forum, vol. 21, no. 2, pp. 149–172, 2002. View at Publisher · View at Google Scholar · View at Scopus
  11. M. de Berg, M. van Krevel, and M. Overmars, Computational Geometry: Algorithms and Applications, Springer, Berlin, 3rd edition, 2008.
  12. Z. C. Marton, R. B. Rusu, and M. Beetz, “On fast surface reconstruction methods for large and noisy point clouds,” in 2009 IEEE International Conference on Robotics and Automation, pp. 3218–3223, Kobe, Japan, 2009. View at Publisher · View at Google Scholar
  13. M.-B. Chen, “A parallel 3D Delaunay triangulation method,” in 2011 IEEE Ninth International Symposium on Parallel and Distributed, pp. 52–56, Busan, South Korea, 2011. View at Publisher · View at Google Scholar · View at Scopus
  14. T. Williams, Thermal Imaging Cameras: Characteristics and Performance, CRC Press, 2009.
  15. A. Chromy, “Application of high-resolution 3D scanning in medical volumetry,” International Journal of Electronics and Telecommunications, vol. 62, no. 1, pp. 23–31, 2016. View at Publisher · View at Google Scholar · View at Scopus
  16. S. Rusinkiewicz and M. Levoy, “Efficient variants of the ICP algorithm,” in Proceedings Third International Conference on 3-D Digital Imaging and Modeling, 2001, pp. 145–152, Quebec City, Quebec, Canada, 2001. View at Publisher · View at Google Scholar · View at Scopus
  17. A. Chromy, Mutual Calibration of Sensors for Multispectral 3D Scanning of Surface, 2017.
  18. P. Kocmanova and L. Zalud, “Spatial calibration of TOF camera, thermal imager and CCD camera,” in Mendel 2013: 19th International Conference on Soft Computing, pp. 343–348, 2013. View at Google Scholar
  19. F. Burian, P. Kocmanova, and L. Zalud, “Robot mapping with range camera, CCD cameras and thermal imagers,” in 2014 19th International Conference On Methods and Models in Automation and Robotics (MMAR), pp. 200–205, 2014. View at Publisher · View at Google Scholar · View at Scopus
  20. R. Szeliski, Computer Vision: Algorithms and Applications, Springer Science & Business Media, 2010.
  21. T. Möller and B. Trumbore, “Fast, minimum storage ray/triangle intersection,” in Proceeding SIGGRAPH '05 ACM SIGGRAPH 2005 Courses, Los Angeles, California, July‑August, 2005. View at Publisher · View at Google Scholar
  22. J. S. Trefil, The Nature of Science: An A-Z Guide to the Laws and Principles Governing Our Universe, Houghton Mifflin Harcourt, 2003.
  23. P. O. Fanger, Thermal Comfort. Analysis and Applications in Environmental Engineering, 1970.
  24. T. L. Kunii, Frontiers in Computer Graphics: Proceedings of Computer Graphics Tokyo ‘84, Springer Science & Business Media, 2012.
  25. P. Kocmanova, L. Zalud, and A. Chromy, “3D proximity laser scanner calibration,” in 2013 18th International Conference on Methods and Models in Automation & Robotics (MMAR), pp. 742–747, Miedzyzdroje, Poland, 2013. View at Publisher · View at Google Scholar
  26. A. Chromy, P. Kocmanova, and L. Zalud, “Creating three-dimensional computer models using robotic manipulator and laser scanners,” in 12th IFAC Conference on Programmable Devices and Embedded Systems, pp. 268–273, Elsevier B.V, 2013.
  27. A. Chromy and L. Zalud, “Novel 3D modelling system capturing objects with sub-millimetre resolution,” Advances in Electrical and Electronic Engineering, vol. 12, no. 5, pp. 476–487, 2014. View at Publisher · View at Google Scholar · View at Scopus
  28. P. Bourke, “PLY - polygon file format,” 2009, November 2016, http://paulbourke.net/dataformats/ply/. View at Google Scholar
  29. M. Isenburg and P. Lindstrom, “Streaming meshes,” in VIS 05. IEEE Visualization, 2005, pp. 231–238, Minneapolis, MN, USA, 2005. View at Publisher · View at Google Scholar
  30. D. Girardeau-Montaut, “CloudCompare - open source project,” 2016, November 2016, http://www.danielgm.net/cc/. View at Google Scholar
  31. G. Melvin, “Thermography gallery,” Thermal Imaging of the Southwest, 2016. View at Google Scholar
  32. L. Zalud, “ARGOS - system for heterogeneous mobile robot teleoperation,” in 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 211–216, Beijing; China, 2006.
  33. L. Zalud, L. Kopecny, and F. Burian, “Orpheus reconnissance robots,” in 2008 IEEE International Workshop on Safety, Security and Rescue Robotics, SSRR 2008, pp. 31–34, Sendai, Japan, 2008.