Segmentation and Modeling of Scattered RTG Irradiation on Quality of Skiagraphy Images in Clinical Conditions
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238643" target="_blank" >RIV/61989100:27240/17:10238643 - isvavai.cz</a>
Výsledek na webu
<a href="http://ieeexplore.ieee.org/document/8284115/" target="_blank" >http://ieeexplore.ieee.org/document/8284115/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICBDAA.2017.8284115" target="_blank" >10.1109/ICBDAA.2017.8284115</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Segmentation and Modeling of Scattered RTG Irradiation on Quality of Skiagraphy Images in Clinical Conditions
Popis výsledku v původním jazyce
During the clinical RTG examination, the secondary (scattered) irradiation is produced. This unwanted irradiation is spread into surrounding in the examination room. Unfortunately, is such clinical workspace other skiagraphy images are stored as well. When skiagraphy image is irradiated, its surface and structure may be irreversibly deteriorated. This affect has a severe impact on quality and reproducibility of the clinical information: imagined structures shed contrast and spatial features. Therefore, modelling and estimation of the scattered irradiation is, from clinical point of view, substantially important. Moreover, there are not any methods objectively evaluating a noise level caused by the scattered irradiation. We have used the multiregional segmentation model which is able to extract areas which are affected by the scattered irradiation. On a base of this approach we specify a finite histogram band specifying area of the scattered irradiation. In this regard, we have specified four image features which are used for specification of the irradiation level. In our analysis, we experimentally analysed estimated level of the scattered irradiation in a dependence of a distance skiagraphy image from the RTG device.
Název v anglickém jazyce
Segmentation and Modeling of Scattered RTG Irradiation on Quality of Skiagraphy Images in Clinical Conditions
Popis výsledku anglicky
During the clinical RTG examination, the secondary (scattered) irradiation is produced. This unwanted irradiation is spread into surrounding in the examination room. Unfortunately, is such clinical workspace other skiagraphy images are stored as well. When skiagraphy image is irradiated, its surface and structure may be irreversibly deteriorated. This affect has a severe impact on quality and reproducibility of the clinical information: imagined structures shed contrast and spatial features. Therefore, modelling and estimation of the scattered irradiation is, from clinical point of view, substantially important. Moreover, there are not any methods objectively evaluating a noise level caused by the scattered irradiation. We have used the multiregional segmentation model which is able to extract areas which are affected by the scattered irradiation. On a base of this approach we specify a finite histogram band specifying area of the scattered irradiation. In this regard, we have specified four image features which are used for specification of the irradiation level. In our analysis, we experimentally analysed estimated level of the scattered irradiation in a dependence of a distance skiagraphy image from the RTG device.
Klasifikace
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)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Big Data and Analytics (ICBDA) : conference proceedings : November 16-17, 2017, Kuching, Malaysia
ISBN
978-1-5386-0790-9
ISSN
—
e-ISSN
neuvedeno
Počet stran výsledku
5
Strana od-do
105-110
Název nakladatele
IEEE
Místo vydání
Piscataway
Místo konání akce
Kuching
Datum konání akce
16. 11. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000426452100018