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Automating the segmentation of medical images for the production of voxel tomographic computational models.

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Abstract

Radiation dosimetry for the diagnostic medical imaging procedures performed on humans requires anatomically accurate, computational models. These may be constructed from medical images as voxel-based tomographic models. However, they are time consuming to produce and as a consequence, there are few available. This paper discusses the emergence of semi-automatic segmentation techniques and describes an application (iRAD) written inMicrosoft Visual Basic that allows the bitmap of a medical image to be segmented interactively and semi-automatically while displayed inMicrosoft Excel. iRAD will decrease the time required to construct voxel models.

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Authors and Affiliations

  1. School of Nursing and Midwifery, Flinders University, GPO Box 2100, 5001, Adelaide, SA, Australia

    M. Caon

  2. Synergic Information Technology & Education, Adelaide, Australia

    J. Mohyla

Authors
  1. M. Caon
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  2. J. Mohyla
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Correspondence to M. Caon.

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Caon, M., Mohyla, J. Automating the segmentation of medical images for the production of voxel tomographic computational models.. Australas. Phys. Eng. Sci. Med. 24, 185 (2001). https://doi.org/10.1007/BF03178363

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  • DOI: https://doi.org/10.1007/BF03178363

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