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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/GA17-03037S" target="_blank" >GA17-03037S: Hodnocení investic do vývoje zdravotních prostředků</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2018, PT II

ISBN

978-3-319-75419-2

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

9

Strana od-do

367-375

Název nakladatele

SPRINGER INTERNATIONAL PUBLISHING AG

Místo vydání

CHAM

Místo konání akce

Dong Hoi

Datum konání akce

19. 3. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000453510500035