• DocumentCode
    469773
  • Title

    Java-based plugin for Renal Depth Measurement

  • Author

    Brambilla, C.R. ; Costa, M.V.S. ; Burkhardt, G.M. ; Borges, J.A. ; Silva, A. M Marques da

  • Author_Institution
    Pontifical Catholic Univ. of RS, Porto Alegre
  • Volume
    4
  • fYear
    2007
  • fDate
    Oct. 26 2007-Nov. 3 2007
  • Firstpage
    3202
  • Lastpage
    3205
  • Abstract
    This work presents an ImageJ plugin that was developed to measure the skin-to-kidney distance on planar lateral scintilographic images for academic research and clinical environment in nuclear medicine. The software was written in JAVA, has an open source code, is cross-platform and named renal depth measurement (RDM). Validation tests were performed in lateral images simulated with SimSET code, using five anthropomorphic GSF voxel phantoms. The quantitative analysis was compared with the empirical renal depth formula, developed by Raynaud. The depth measurements using the RDM plugin showed that the errors compared with the true renal depth are around -18% and 10% for the interactive delimitation method and around -7% and 10% for automatic method When compared with Raynaud formula, there is a reduction of the renal depth errors in up to 25%, especially inpatients with variability in renal depth.
  • Keywords
    Java; biomedical imaging; biomedical measurement; kidney; medical computing; phantoms; public domain software; radioisotope imaging; skin; spatial variables measurement; ImageJ plugin; Java-based plugin; SimSET code; anthropomorphic GSF voxel phantoms; nuclear medicine; open source code; planar lateral scintilographic images; quantitative analysis; renal depth measurement; skin-to-kidney distance; Anthropomorphism; Imaging phantoms; Java; Medical simulation; Nuclear measurements; Nuclear medicine; Open source software; Performance evaluation; Software measurement; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE
  • Conference_Location
    Honolulu, HI
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-0922-8
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2007.4436806
  • Filename
    4436806