Application of High-Resolution 3D Scanning in Medical Volumetry

• Autorzy: Chromy A.

Identyfikatory

DOI

10.1515/eletel-2016-0003

• Języki publikacji: EN

Abstrakty

EN

This paper deals with application of 3D scanning technology in medicine. Important properties of 3D scanners are discussed with emphasize on medical applications. Construction of medical 3D scanner according to these specifications is described and practical application of its use in medical volumetry is presented. Besides volumetry, such 3D scanner is usable for many other purposes, like monitoring of recovery process, ergonomic splint manufacturing or inflammation detection. 3D scanning introduces novel volumetric method, which is compared with standard methods. The new method is more accurate compared to present ones. Principles of this method are discussed in paper and its accuracy is evaluated and experimentally verified.

Słowa kluczowe

EN

medical volumetry; medical 3D scanning; 3D scanning; medical imaging; soft tissues

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2016
• Tom: Vol. 62, No. 1
• Strony: 23--31
• Opis fizyczny: Bibliogr. 71 poz., rys., wykr.

Twórcy

autor

Chromy A.

• Author is with Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic

Bibliografia

• [1] “Google trends,” https://www.google.com/trends. [Online]. Available: <https://www.google.com/trends>.
• [2] “A roundup of how todays 3D printing technology is progressing.” [Online]. Available: <http://3dprint.com/27954/3d-printing-roundup/>.
• [3] “Digital undergorund,” http://www.metmuseum.org/aboutthe-museum/museum-departments/office-of-the-director/digitalmedia-department/digital-underground. [Online]. Available: <http://www.metmuseum.org/about-the-museum/museum-departments/office-of-the-director/digital-media-department/digital-underground>.
• [4] J. Park, “Digital restoration of seokguram grotto: The digital archiving and the exhibition of south korea’s representative UNESCO world heritage,” in Proceedings of 2012 International Symposium on Ubiquitous Virtual Reality, ISUVR 2012, 2012, pp. 26.29.
• [5] L. Zalud, L. Kopecny, and F. Burian, “Orpheus reconnissance robots,” in Proceedings of the 2008 IEEE International Workshop on Safety, Security and Rescue Robotics, SSRR 2008, Sendai, Japan, 2008, pp. 31-34.
• [6] L. Zalud, “ARGOS - system for heterogeneous mobile robot teleoperation,” in 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006, Beijing; China, 2006, pp. 211-216.
• [7] J. Hu, Y. Cao, T. Wu, D. Li, and H. Lu, “High-resolution threedimensional visualization of the rat spinal cord microvasculature by synchrotron radiation micro-CT,” Medical Physics, vol. 41, no. 10, 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. [Online]. Available: <http://www.springerplus.com/content/3/1/13>.
• [9] S. Klein, M. Avery, G. Adams, S. Pollard, and S. Simske, “From scan to print: 3D printing as a means for replication,” HP Laboratories Technical Report, no. 30, 2014.
• [10] F. Haase, C. Siewert, D. B. von Rautenfeld, J. U. Fischbach, and H. Seifert, “Comparison of different methods to quantify the volume of horse limbs,” Berliner Und Mnchener Tierrztliche Wochenschrift, vol. 122, no. 3-4, pp. 126-131, Apr. 2009, PMID: 19350812.
• [11] S. H. Ridner, L. D. Montgomery, J. T. Hepworth, B. R. Stewart, and J. M. Armer, “Comparison of upper limb volume measurement techniques and arm symptoms between healthy volunteers and individuals with known lymphedema,” Lymphology, vol. 40, no. 1, pp. 35-46, Mar. 2007, PMID: 17539463.
• [12] R. C. B. Ribeiro, S. M. P. F. Lima, A. C. G. Carreira, D. Masiero, and T. R. Chamlian, “Inter-tester reliability assessment of the volumetric measurement of the hand in subjects without any changes in their upper extremities,” Acta Fisiatrica, vol. 17, no. 1, pp. 3-7, 2010. [Online]. Available: <http://www.actafisiatrica.org.br/audiencia_pdf.asp?aid2=68&nomeArquivo=en_v17n1a02.pdf>.
• [13] D. M. Kaulesar Sukul, P. T. den Hoed, E. J. Johannes, R. van Dolder, and E. Benda, “Direct and indirect methods for the quantification of leg volume: comparison between water displacement volumetry, the disk model method and the frustum sign model method, using the correlation coefficient and the limits of agreement,” Journal of Biomedical Engineering, vol. 15, no. 6, pp. 477-480, Nov. 1993, PMID: 8277752.
• [14] P. Konecny, “Nove trendy v neurorehabilitaci [abstract],” in Dobsak P (ed) Proceedings of the IV. Dny Fyzioterapie: 11-12 October 2013, 2013, pp. 7 - 7.
• [15] K. Lavelle and D. B. Stanton, “Measurement of edema in the hand clinic,” May 2014.
• [16] J. M. Armer and S. H. Ridner, “Measurement techniques in assessment of lymphedema,” Lymph Link Article Reprint, vol. 18, no. 3, pp. 1-4, Sep. 2006.
• [17] F. Brijker, Y. F. Heijdra, F. J. Van Den Elshout, F. H. Bosch, and H. T. Folgering, “Volumetric measurements of peripheral oedema in clinical conditions,” Clinical Physiology (Oxford, England), vol. 20, no. 1, pp. 56-61, Jan. 2000, PMID: 10651793.
• [18] T. Deltombe, J. Jamart, S. Recloux, C. Legrand, N. Vandenbroeck, S. Theys, and P. Hanson, “Reliability and limits of agreement of circumferential, water displacement, and optoelectronic volumetry in the measurement of upper limb lymphedema,” Lymphology, vol. 40, no. 1, pp. 26-34, Mar. 2007, PMID: 17539462.
• [19] P. Karakas and M. G. Bozkir, “Anthropometric indices in relation to overweight and obesity among turkish medical students,” Archives of Medical Science, vol. 8, no. 2, pp. 209-213, Apr. 2012, WOS:000304232700005.
• [20] R. Damstra, Diagnostic and therapeutical aspects of lymphedema. Drachten; Maastricht: Stichting Lymfologie Centrum Nederland (SLCN); University Library, Universiteit Maastricht [host], 2009.
• [21] A. R. Webb, Introduction to biomedical imaging. Hoboken, New Jersey: Wiley, 2003.
• [22] J. K. Udupa and G. T. Herman, 3D Imaging in Medicine, Second Edition. CRC Press, Sep. 1999.
• [23] J. W. Ramsay, P. J. Barrance, T. S. Buchanan, and J. S. Higginson, “Paretic muscle atrophy and non-contractile tissue content in individual muscles of the post-stroke lower extremity,” Journal of Biomechanics, vol. 44, no. 16, pp. 2741–2746, Nov. 2011. [Online]. Available: <http://linkinghub.elsevier.com/retrieve/pii/S0021929011005884>.
• [24] M. d. A. Silva-Couto, C. L. Prado-Medeiros, A. B. Oliveira, C. C. Alcantara, A. T. Guimaraes, T. d. F. Salvini, R. Mattioli, and T. L. de Russo, “Muscle atrophy, voluntary activation disturbances, and low serum concentrations of IGF-1 and IGFBP-3 are associated with weakness in people with chronic stroke,” Physical Therapy, vol. 94, no. 7, pp. 957-967, Jul. 2014, WOS:000338170100006.
• [25] W. Chong and P. Sidhu, Measurement in Ultrasound: A practical handbook. CRC Press, Apr. 2004.
• [26] P. Benington, “Masseter muscle volume measured using ultrasonography and its relationship with facial morphology,” The European Journal of Orthodontics, vol. 21, no. 6, pp. 659–670, Dec. 1999. [Online]. Available: <http://ejo.oupjournals.org/cgi/doi/10.1093/ejo/21.6.659>.
• [27] C. H. McCollough and F. E. Zink, “Performance evaluation of a multislice CT system,” Medical Physics, vol. 26, no. 11, pp. 2223–2230, Nov. 1999, PMID: 10587202.
• [28] Statni urad pro jadernou bezpecnost, “Vyhlaska o radiacni ochrane,” 2002.
• [29] Z. Seidl and M. Vankov, Magnetick rezonance hlavy, mozku a ptee, avicenum ed. Grada, 2007. [Online]. Available: <http://www.martinus.cz/?uItem=32926>.
• [30] “Coordinate measuring machine history - fifty years of CMM history leading up to a measuring revolution.” [Online]. Available: <http://www.coord3-cmm.com/50-years-of-coordinate-measuring-machine/industry-developments-and-history/>.
• [31] J. Shan and C. K. Toth, Eds., Topographic laser ranging and scanning: principles and processing. Boca Raton: CRC Press/Taylor & Francis Group, 2009.
• [32] K. B. Smith and Y. F. Zheng, “Accuracy analysis of point laser triangulation probes using simulation,” Journal of Manufacturing Science and Engineering, vol. 120, no. 4, pp. 736–745, Nov. 1998. [Online]. Available: <http://dx.doi.org/10.1115/1.2830214>.
• [33] R. G. Dorsch, G. Husler, and J. M. Herrmann, “Laser triangulation: fundamental uncertainty in distance measurement,” Applied Optics, vol. 33, no. 7, p. 1306, Mar. 1994. [Online]. Available: <http://www.opticsinfobase.org/abstract.cfm?URI=ao-33-7-1306>.
• [34] R. Heinkelmann and H. Schuh, “Very long baseline interferometry: accuracy limits and relativistic tests,” in Relativity in Fundamental Astronomy: Dynamics, Reference Frames, and Data Analysis, ser. Proceedings of the International Astronomical Union, vol. 5, Apr. 2009, p. 286290. [Online]. Available: <http://journals.cambridge.org/article_S1743921309990524>.
• [35] R. Morano, C. Ozturk, R. Conn, S. Dubin, S. Zietz, and J. Nissano, “Structured light using pseudorandom codes,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 3, pp. 322-327, Mar. 1998.
• [36] K. Liu, Y. Wang, D. L. Lau, Q. Hao, and L. G. Hassebrook, “Dualfrequency pattern scheme for high-speed 3-D shape measurement,” Optics Express, vol. 18, no. 5, p. 5229, Mar. 2010. [Online]. Available: <http://www.opticsinfobase.org/abstract.cfm?URI=oe-18-5-5229>.
• [37] S. Zhang and P. S. Huang, “High-resolution, real-time threedimensional shape measurement,” Optical Engineering, vol. 45, no. 12, pp. 123 601–123 601–8, 2006. [Online]. Available: <http://dx.doi.org/10.1117/1.2402128>.
• [38] J. Baqersad, J. Carr, T. Lundstrom, C. Niezrecki, P. Avitabile, and M. Slattery, “Dynamic characteristics of a wind turbine blade using 3D digital image correlation,” in Proc. SPIE 8348, Health Monitoring of Structural and Biological Systems 2012, vol. 8348, San Diego, California, 2012, pp. 83 482I–83 482I–9. [Online]. Available: <http://dx.doi.org/10.1117/12.915377>.
• [39] G. F. Marshall, Ed., Handbook of optical and laser scanning, ser. Optical engineering. New York: Marcel Dekker, 2004, no. 90.
• [40] F. Walkowski, R. Johnston, and N. Price, “Texture mapping for the FastSCAN hand-held laser scanner,” in Image and Vision Computing New Zealand, 2008. IVCNZ 2008. 23rd International Conference, Nov. 2008, pp. 1-6.
• [41] K. Strobl, E. Mair, T. Bodenmuller, S. Kielhofer, W. Sepp, M. Suppa, D. Burschka, and G. Hirzinger, “The self-referenced DLR 3D-modeler,” in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009. IROS 2009, Oct. 2009, pp. 21-28.
• [42] A. L. Reyes, J. M. Cervantes, and N. C. Gutirrez, “Low cost 3D scanner by means of a 1D optical distance sensor,” Procedia Technology, vol. 7, pp. 223–230, 2013. [Online]. Available: <http://www.sciencedirect.com/science/article/pii/S2212017313000297>.
• [43] Zhang, A., Hu, S., Chen, Y., Liu, H., Yang, F., and Liu, J., “Fast continuous 360 degree color 3D laser scanner,” in INTERNATIONAL ARCHIVES OF PHOTOGRAMMETRY REMOTE SENSINGAND SPATIAL INFORMATION SCIENCES, vol. 1, 2008, pp. 409-414.
• [44] 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, Dec. 2014. [Online]. Available: <http://advances.utc.sk/index.php/AEEE/article/view/1123>.
• [45] R. M. Murray, Z. Li, S. S. Sastry, and S. S. Sastry, A Mathematical Introduction to Robotic Manipulation. CRC Press, Mar. 1994.
• [46] S. Y. Nof, Handbook of Industrial Robotics. John Wiley & Sons, 1999.
• [47] F. Solc and L. Zalud, Robotika. Brno: Brno University of Technology, 2006.
• [48] L. G. Brown, “A survey of image registration techniques,” ACM Comput. Surv., vol. 24, no. 4, p. 325376, Dec. 1992. [Online]. Available: <http://doi.acm.org/10.1145/146370.146374>.
• [49] P. Besl and N. D. McKay, “A method for registration of 3-D shapes,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, no. 2, pp. 239-256, Feb. 1992.
• [50] S. Rusinkiewicz and M. Levoy, “Efficient variants of the ICP algorithm,” in Third International Conference on 3-D Digital Imaging and Modeling, 2001. Proceedings, 2001, pp. 145-152.
• [51] Alshawa, M., “ICL: iterative closest line - a novel point cloud registration algorithm based on linear features,” Ekscentar, no. 10, pp. 53-59, 2007.
• [52] J. Poppinga, N. Vaskevicius, A. Birk, and K. Pathak, “Fast plane detection and polygonalization in noisy 3D range images,” in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008. IROS 2008, Sep. 2008, pp. 3378–3383.
• [53] F. Bellocchio, N. A. Borghese, S. Ferrari, and V. Piuri, 3D Surface Reconstruction. New York, NY: Springer New York, 2013. [Online]. Available: <http://link.springer.com/10.1007/978-1-4614-5632-2>.
• [54] K. Strobl, E. Mair, and G. Hirzinger, “Image-based pose estimation for 3-D modeling in rapid, hand-held motion,” in 2011 IEEE International Conference on Robotics and Automation (ICRA), May 2011, pp. 2593-2600.
• [55] B. Mehta and R. Marinescu, “Comparison of image generation and processing techniques for 3D reconstruction of the human skull,” in Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2001, vol. 4, 2001, pp. 3687-3690 vol.4.
• [56] D. Chwa, J. Kang, and J. Choi, “Online trajectory planning of robot arms for interception of fast maneuvering object under torque and velocity constraints,” IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, vol. 35, no. 6, pp. 831-843, Nov. 2005.
• [57] J. Levinson, J. Askeland, J. Becker, J. Dolson, D. Held, S. Kammel, J. Kolter, D. Langer, O. Pink, V. Pratt, M. Sokolsky, G. Stanek, D. Stavens, A. Teichman, M. Werling, and S. Thrun, “Towards fully autonomous driving: Systems and algorithms,” in 2011 IEEE Intelligent Vehicles Symposium (IV), Jun. 2011, pp. 163-168.
• [58] G. Xiaoqing and W. Jidong, “Trajectory planning theory and method of industrial robot,” in 2011 3rd International Conference on Computer Research and Development (ICCRD), vol. 2, Mar. 2011, pp. 340-343.
• [59] R. Danescu, “Obstacle detection using dynamic Particle-Based occupancy grids,” in 2011 International Conference on Digital Image Computing Techniques and Applications (DICTA), Dec. 2011, pp. 585-590.
• [60] N. Fairfield and D. Wettergreen, “Evidence grid-based methods for 3D map matching,” in IEEE International Conference on Robotics and Automation, 2009. ICRA ’09, May 2009, pp. 1637-1642.
• [61] H. Yang and J. Chen, “Point cloud data enhancement based on layer connected region,” in 2014 International Conference on Audio, Language and Image Processing (ICALIP), Jul. 2014, pp. 600-604.
• [62] 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 (2013), ser. Programmable devices and systems. Velke Karlovice: Elsevier B.V., Sep. 2013, pp. 268–273. [Online]. Available: <http://www.ifac-papersonline.net/Detailed/62529.html>.
• [63] C. Zhang and T. Chen, “Efficient feature extraction for 2D/3D objects in mesh representation,” in 2001 International Conference on Image Processing, 2001. Proceedings, vol. 3, 2001, pp. 935-938 vol.3.
• [64] Micro-Epsilon, “Instruction manual scanCONTROL,” 2008. [Online]. Available: <http://www.micro-epsilon.cz/download/manuals/man--scanCONTROL-2700--en.pdf>.
• [65] Epson Robots, “Epson c3 compact 6-Axis RobotManual,” 2011. [Online]. Available: <http://robots.epson.com/admin/uploads/product_catalog/files/EPSON_C3_Robot_Manual(R7).pdf>.
• [66] T. Jamerson, “Uncertainty example using simple propagation of uncertainty rules,” Aug. 2009.
• [67] R. Palencar, F. Vdolecek, and M. Halaj, “Nejistoty v mereni ii: nejistoty primych mereni,” Automa, vol. 2001, no. 10, pp. 55–56, 2001.
• [68] L. Zalud, L. Kopecny, F. Burian, and T. Florian, “CASSANDRA – heterogeneous reconnaissance robotic system for dangerous environments,” in 2011 IEEE/SICE International Symposium on System Integration, SII 2011, 2011, pp. 1275-1280.
• [69] L. Nejdl, J. Kudr, K. Cihalova, D. Chudobova, M. Zurek, L. Zalud, L. Kopecny, F. Burian, B. Ruttkay-Nedecky, S. Krizkova, M. Konecna, D. Hynek, P. Kopel, J. Prasek, V. Adam, and R. Kizek, “Remotecontrolled robotic platform ORPHEUS as a new tool for detection of bacteria in the environment,” Electrophoresis, vol. 35, no. 16, pp. 2333-2345, 2014.
• [70] 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 2013, 2013.
• [71] P. Kocmanova, L. Zalud, and A. Chromy, “3D proximity laser scanner calibration,” in 2013 18th International Conference on Methods and Models in Automation and Robotics (MMAR), Aug. 2013, pp. 742-747.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.