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3D Diagnostic System for Anatomical Structures Detection Based on a Parameterized Method of Body Surface Analysis

  • Conference paper
Information Technologies in Biomedicine

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 69))

Abstract

Features of trunk and postural deformations are clinically observed to detect related musculoskeletal disorders, namely scoliosis, kyphosis or other thoracic deformities. High variability and controversial reliability of results of postural screening require new solutions to be employed. Standardized criteria for correct body posture are needed for further studies. The aim of this work was to present the current status of development of the 3D diagnostic system for anatomical structures detection. The designed system is based on a parameterized method of body surface analysis for automated measurement of the three-dimensional shape of patient’s trunk. This system uses structured light to measure patient’s body in 3D space by projection of a set of raster images on its surface. A unique feature of the presented system is the ability to operate on remote sites and carry out measurement interpretation by telemedicine utilizing a data warehouse. The system comprises of three independent modules which deal with measurement, data archiving and its analysis. Communication between modules is performed over the TCP/IP protocol, incorporating two different channels for each client, dedicated to two kinds of data - text channel, for transmission of XML documents used for delivering commands and information and binary channel for the transfer of large binary data, such as clouds of points or photographs. Presented modules altogether allow to measure the full shape of subject’s 3D surface along with measurement data storage and analysis for support of screening and diagnosis.

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Author information

Authors and Affiliations

  1. Department of Orthopaedics and Traumology of Locomotor System, Center of Excellence ”TeleOrto”, Medical University of Warsaw, Warsaw, Poland

    Wojciech Glinkowski

  2. Department of Descriptive and Clinical Anatomy, Warsaw, Poland, Polish Telemedicine Society, Medical University of Warsaw, Warsaw, Poland

    Wojciech Glinkowski

  3. Institute of Micromechanics and Photonics, OGX, Warsaw University of Technology, Warsaw, Poland

    Jakub Michonski, Robert Sitnik & Marcin Witkowski

Authors
  1. Wojciech Glinkowski
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  2. Jakub Michonski
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  3. Robert Sitnik
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  4. Marcin Witkowski
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Editors and Affiliations

  1. Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, ul. Akademicka 16, 44-100, Gliwice, Poland

    Ewa Piȩtka  & Jacek Kawa  & 

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Glinkowski, W., Michonski, J., Sitnik, R., Witkowski, M. (2010). 3D Diagnostic System for Anatomical Structures Detection Based on a Parameterized Method of Body Surface Analysis. In: Piȩtka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Intelligent and Soft Computing, vol 69. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13105-9_16

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  • DOI: https://doi.org/10.1007/978-3-642-13105-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13104-2

  • Online ISBN: 978-3-642-13105-9

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