Analytical Studies on Volume Determination of Leg Ulcer using Structured Light and Laser Triangulation Data Acquisition Techniques
Imaging is defined as the process of obtaining
geometric images either two dimensional or three dimensional by scanning or digitizing the existing objects or products. In this research, it applied to retrieve 3D information of the human skin
surface in medical application. This research focuses on analyzing
and determining volume of leg ulcers using imaging devices. Volume
determination is one of the important criteria in clinical assessment of leg ulcer. The volume and size of the leg ulcer wound will give the
indication on responding to treatment whether healing or worsening.
Different imaging techniques are expected to give different result (and accuracies) in generating data and images. Midpoint projection
algorithm was used to reconstruct the cavity to solid model and compute the volume. Misinterpretation of the results can affect the
treatment efficacy. The objectives of this paper is to compare the
accuracy between two 3D data acquisition method, which is laser
triangulation and structured light methods, It was shown that using models with known volume, that structured-light-based 3D technique
produces better accuracy compared with laser triangulation data
acquisition method for leg ulcer volume determination.
[1] D. A. Perednia, "What Dermatologists Should Know About Digital Imaging," J Am Acad Dermatol, vol. 25, pp. 89-108, 1991.
[2] M. G. Woodbury, P. E. Houghton, K. E. Campbell, and D. H. Keast,
"Development, Validity, Reliability, and Responsiveness of a New Leg
Ulcer Measurement Tool," Advances in Skin & Wound Care, vol. 17, pp.
187-196, 2004.
[3] N. Kecelj-Leskovec, M. Jezer┼íek, J. Možina, M. D. Pavlović, and T.
Lunder, "Measurement of venous leg ulcers with a laser-based threedimensional
method: Comparison to computer planimetry with
photography," Wound Repair and Regeneration, vol. 15, pp. 767-771,2007.
[4] T. Wild, M. Prinz, N. Fortner, W. Krois, K. Sahora, S. Stremitzer, and T.
Hoelzenbein, "Digital measurement and analysis of wounds based on
colour segmentation," European Surgery, vol. 40, pp. 5-10, 2008.
[5] D. Langemo, J. Anderson, D. Hanson, S. Hunter, and P. Thompson, "Measuring Wound Length, Width, and Area: Which Technique?,"
Advances in Skin & Wound Care, vol. 21, pp. 42-45
10.1097/01.ASW.0000284967.69863.2f, 2008.
[6] A. Shai, H. I. Maibach, and C. Ebooks, "Ulcer Measurement and Patient
Assessment," in Wound Healing and Ulcers of the Skin : Diagnosis and
Therapy - the Practical Approach, ed Dordrecht: Springer-Verlag Berlin
and Heidelberg GmbH & Co. KG, 2005, pp. 89-102.
[7] MAVIS II: 3D Wound Instrument Measurement [Online].
[8] B. Albouy, Y. Lucas, and S. Treuillet, "3D Modeling from Uncalibrated
Color Images for a Complete Wound Assessment Tool," in Engineering
in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE, 2007, pp. 3323-3326.
[9] C. Ozturk, S. Dubin, M. E. Schafer, S. Wen-Yao, and C. Min-Chih, "A new structured light method for 3-D wound measurement," in
Bioengineering Conference, 1996., Proceedings of the 1996 IEEE Twenty-Second Annual Northeast, 1996, pp. 70-71.
[10] T. A. Krouskop, R. Baker, and M. S. Wilson, "A noncontact wound
measurement system," Journal of Rehabilitation Research and
Development, vol. 39, pp. 337-346, 2002.
[11] S. M. Boersma, "PHOTOGRAMMETRIC WOUND MEASUREMENT
WITH A THREE-CAMERA VISION SYSTEM," International archives
of photogrammetry and remote sensing = Archives internationales de
photogrammétrie et de télédétection /, vol. 33, pp. 84-91, 2000.
[12] A. Malian, A. Azizi, F. A. van den Heuvel, and M. Zolfaghari, "Development of a Robust Photogrammetric Metrology System for
Monitoring the Healing of Bedsores," The Photogrammetric Record,
vol. 20, pp. 241-273, 2005.
[13] P. Plassmann and T. D. Jones, "MAVIS: a non-invasive instrument to
measure area and volume of wounds," Medical engineering & physics, vol. 20, pp. 332-338, 1998.
[14] M. Callieri, P. Cignoni, P. Pingi, R. Scopigno, M. Coluccia, G. Gaggio,
and M. Romanelli, "Derma: monitoring the evolution of skin lesions with a 3D system," presented at the Proceedings of the Vision, Modeling, and Visualization Conference 2003 Munich, Germany, 2003.
[15] A. Hani, N. Eltegani, S. Hussein, A. Jamil, and P. Gill, "Assessment of Ulcer Wounds Size Using 3D Skin Surface Imaging," in Visual
Informatics: Bridging Research and Practice. vol. 5857, H. Badioze
Zaman, P. Robinson, M. Petrou, P. Olivier, H. Schröder, and T. Shih,
Eds., ed: Springer Berlin / Heidelberg, 2009, pp. 243-253.
[16] T. Várady, R. R. Martin, and J. Cox, "Reverse engineering of geometric
models--an introduction," Computer-Aided Design, vol. 29, pp. 255-268,1997.
[17] G. Frankowski, R. Hainich, S. Emerging Digital Micromirror Device
Based, and Applications, III, "DLP/DSP-based optical 3D sensors for the mass market in industrial metrology and life sciences," Proc SPIE Int Soc Opt Eng Proceedings of SPIE - The International Society for
Optical Engineering, vol. 7932, 2011.
[1] D. A. Perednia, "What Dermatologists Should Know About Digital Imaging," J Am Acad Dermatol, vol. 25, pp. 89-108, 1991.
[2] M. G. Woodbury, P. E. Houghton, K. E. Campbell, and D. H. Keast,
"Development, Validity, Reliability, and Responsiveness of a New Leg
Ulcer Measurement Tool," Advances in Skin & Wound Care, vol. 17, pp.
187-196, 2004.
[3] N. Kecelj-Leskovec, M. Jezer┼íek, J. Možina, M. D. Pavlović, and T.
Lunder, "Measurement of venous leg ulcers with a laser-based threedimensional
method: Comparison to computer planimetry with
photography," Wound Repair and Regeneration, vol. 15, pp. 767-771,2007.
[4] T. Wild, M. Prinz, N. Fortner, W. Krois, K. Sahora, S. Stremitzer, and T.
Hoelzenbein, "Digital measurement and analysis of wounds based on
colour segmentation," European Surgery, vol. 40, pp. 5-10, 2008.
[5] D. Langemo, J. Anderson, D. Hanson, S. Hunter, and P. Thompson, "Measuring Wound Length, Width, and Area: Which Technique?,"
Advances in Skin & Wound Care, vol. 21, pp. 42-45
10.1097/01.ASW.0000284967.69863.2f, 2008.
[6] A. Shai, H. I. Maibach, and C. Ebooks, "Ulcer Measurement and Patient
Assessment," in Wound Healing and Ulcers of the Skin : Diagnosis and
Therapy - the Practical Approach, ed Dordrecht: Springer-Verlag Berlin
and Heidelberg GmbH & Co. KG, 2005, pp. 89-102.
[7] MAVIS II: 3D Wound Instrument Measurement [Online].
[8] B. Albouy, Y. Lucas, and S. Treuillet, "3D Modeling from Uncalibrated
Color Images for a Complete Wound Assessment Tool," in Engineering
in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE, 2007, pp. 3323-3326.
[9] C. Ozturk, S. Dubin, M. E. Schafer, S. Wen-Yao, and C. Min-Chih, "A new structured light method for 3-D wound measurement," in
Bioengineering Conference, 1996., Proceedings of the 1996 IEEE Twenty-Second Annual Northeast, 1996, pp. 70-71.
[10] T. A. Krouskop, R. Baker, and M. S. Wilson, "A noncontact wound
measurement system," Journal of Rehabilitation Research and
Development, vol. 39, pp. 337-346, 2002.
[11] S. M. Boersma, "PHOTOGRAMMETRIC WOUND MEASUREMENT
WITH A THREE-CAMERA VISION SYSTEM," International archives
of photogrammetry and remote sensing = Archives internationales de
photogrammétrie et de télédétection /, vol. 33, pp. 84-91, 2000.
[12] A. Malian, A. Azizi, F. A. van den Heuvel, and M. Zolfaghari, "Development of a Robust Photogrammetric Metrology System for
Monitoring the Healing of Bedsores," The Photogrammetric Record,
vol. 20, pp. 241-273, 2005.
[13] P. Plassmann and T. D. Jones, "MAVIS: a non-invasive instrument to
measure area and volume of wounds," Medical engineering & physics, vol. 20, pp. 332-338, 1998.
[14] M. Callieri, P. Cignoni, P. Pingi, R. Scopigno, M. Coluccia, G. Gaggio,
and M. Romanelli, "Derma: monitoring the evolution of skin lesions with a 3D system," presented at the Proceedings of the Vision, Modeling, and Visualization Conference 2003 Munich, Germany, 2003.
[15] A. Hani, N. Eltegani, S. Hussein, A. Jamil, and P. Gill, "Assessment of Ulcer Wounds Size Using 3D Skin Surface Imaging," in Visual
Informatics: Bridging Research and Practice. vol. 5857, H. Badioze
Zaman, P. Robinson, M. Petrou, P. Olivier, H. Schröder, and T. Shih,
Eds., ed: Springer Berlin / Heidelberg, 2009, pp. 243-253.
[16] T. Várady, R. R. Martin, and J. Cox, "Reverse engineering of geometric
models--an introduction," Computer-Aided Design, vol. 29, pp. 255-268,1997.
[17] G. Frankowski, R. Hainich, S. Emerging Digital Micromirror Device
Based, and Applications, III, "DLP/DSP-based optical 3D sensors for the mass market in industrial metrology and life sciences," Proc SPIE Int Soc Opt Eng Proceedings of SPIE - The International Society for
Optical Engineering, vol. 7932, 2011.
@article{"International Journal of Medical, Medicine and Health Sciences:50954", author = "M. Abdul-Rani and K. K. Chong and A. F. M. Hani and Y. B. Yap and A. Jamil", title = "Analytical Studies on Volume Determination of Leg Ulcer using Structured Light and Laser Triangulation Data Acquisition Techniques", abstract = "Imaging is defined as the process of obtaining
geometric images either two dimensional or three dimensional by scanning or digitizing the existing objects or products. In this research, it applied to retrieve 3D information of the human skin
surface in medical application. This research focuses on analyzing
and determining volume of leg ulcers using imaging devices. Volume
determination is one of the important criteria in clinical assessment of leg ulcer. The volume and size of the leg ulcer wound will give the
indication on responding to treatment whether healing or worsening.
Different imaging techniques are expected to give different result (and accuracies) in generating data and images. Midpoint projection
algorithm was used to reconstruct the cavity to solid model and compute the volume. Misinterpretation of the results can affect the
treatment efficacy. The objectives of this paper is to compare the
accuracy between two 3D data acquisition method, which is laser
triangulation and structured light methods, It was shown that using models with known volume, that structured-light-based 3D technique
produces better accuracy compared with laser triangulation data
acquisition method for leg ulcer volume determination.", keywords = "Imaging, Laser Triangulation, Structured Light, Volume Determination.", volume = "5", number = "10", pages = "479-6", }
