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The Use of Tuned Shape Window for the Improvement of Scars Imaging in Static Renal Scintigraphy in Children

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Intelligent Information and Database Systems (ACIIDS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10192))

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Abstract

Physiological renal processes are evaluated based on planar images registered by a gamma camera, SPECT or PET. However, detection of small disorders in standard planar scintigraphic imaging is difficult and sometimes impossible. The aim of the research conducted at Pomeranian Medical University is to increase the sensitivity of the method for detecting the areas of renal functional disorders called scarring. The image recorded as a result of the test was subject to digital processing. In that purpose, a novel window function was used for filter designing. Standard and processed images were presented to three independent experts. The diagnosis results were subject to statistical analysis. As a result, a large share of changes in diagnosis was reported in the total number of conducted tests, a strong correlation between positive evaluation of the role of processed images and a change in diagnosis as well as an increased possibility of kidney condition evaluation.

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Authors and Affiliations

  1. Department of Computer Science in Medicine, Pomeranian Medical University, Zolnierska 54, Szczecin, Poland

    Janusz Pawel Kowalski

  2. Department of Nuclear Medicine, Pomeranian Medical University, Unii Lubelskiej 1, Szczecin, Poland

    Bozena Birkenfeld & Piotr Zorga

  3. Faculty of Electrical Engineering, West Pomeranian University of Technology, Sikorskiego 37, Szczecin, Poland

    Jakub Peksinski & Grzegorz Mikolajczak

Authors
  1. Janusz Pawel Kowalski
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  2. Bozena Birkenfeld
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  3. Piotr Zorga
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  4. Jakub Peksinski
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  5. Grzegorz Mikolajczak
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Corresponding author

Correspondence to Janusz Pawel Kowalski .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Satoshi Tojo

  3. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Le Minh Nguyen

  4. Wrocław University of Science and Technology, Wroclaw, Poland

    Bogdan Trawiński

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Kowalski, J.P., Birkenfeld, B., Zorga, P., Peksinski, J., Mikolajczak, G. (2017). The Use of Tuned Shape Window for the Improvement of Scars Imaging in Static Renal Scintigraphy in Children. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10192. Springer, Cham. https://doi.org/10.1007/978-3-319-54430-4_40

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  • DOI: https://doi.org/10.1007/978-3-319-54430-4_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54429-8

  • Online ISBN: 978-3-319-54430-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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