@article{(Open Science Index):https://publications.waset.org/pdf/1820,
	  title     = {Analytical Studies on Volume Determination of Leg Ulcer using Structured Light and Laser Triangulation Data Acquisition Techniques},
	  author    = {M. Abdul-Rani and  K. K. Chong and  A. F. M. Hani and  Y. B. Yap and  A. Jamil},
	  country	= {},
	  institution	= {},
	  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.},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {5},
	  number    = {10},
	  year      = {2011},
	  pages     = {490 - 495},
	  ee        = {https://publications.waset.org/pdf/1820},
	  url   	= {https://publications.waset.org/vol/58},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 58, 2011},
	}