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Modelling and Objectification of Secondary X ray Irradiation on Skiagraphy Images in Clinical Conditions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241739" target="_blank" >RIV/61989100:27240/18:10241739 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-319-75420-8_35" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-75420-8_35</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-75420-8_35" target="_blank" >10.1007/978-3-319-75420-8_35</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modelling and Objectification of Secondary X ray Irradiation on Skiagraphy Images in Clinical Conditions

  • Original language description

    Secondary, also called scattered irradiation is directly linked with each clinical X ray examination. In the principle, the secondary irradiation spreads itself to all directions. Thus, besides the scanned skiagraphy image, other stored images in surrounding are affected as well. More frequently are skiagraphy images affected, worse image features the skiagraphy image has. In this paper, we have proposed the multiregional segmentation model which is able to classify and extract areas corresponding with the secondary X-ray deterioration. On the base of the segmentation model, we have defined four significantly important features well reflecting the secondary irradiation through tested distances of the X-ray source and the skiagraphy records. Those features allow for modelling of the secondary irradiation effect in a dependence of respective distance. Such predictive model is well usable in the clinical conditions for an assessment of the deterioration level of the skiagraphy image. The prediction model also shows significant differences between mobile and fixed X ray in a sense of the amount of the scattered irradiation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA17-03037S" target="_blank" >GA17-03037S: Investment evaluation of medical device development</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2018, PT II

  • ISBN

    978-3-319-75419-2

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    9

  • Pages from-to

    367-375

  • Publisher name

    SPRINGER INTERNATIONAL PUBLISHING AG

  • Place of publication

    CHAM

  • Event location

    Dong Hoi

  • Event date

    Mar 19, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000453510500035