A software tool to image processing of ultrasound B-images suitable to finding atherosclerosis
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F15%3A%230005543" target="_blank" >RIV/47813059:19240/15:#0005543 - isvavai.cz</a>
Výsledek na webu
<a href="http://ijnngt.org/jr7vl2.php" target="_blank" >http://ijnngt.org/jr7vl2.php</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A software tool to image processing of ultrasound B-images suitable to finding atherosclerosis
Popis výsledku v původním jazyce
The presented paper presents a developed program for image processing of medical ultrasound images based on thresholding in ROI of appropriate tissue. The algorithm has been developed for B-MODE ultrasound images in grayscale which is basic in ultrasoundimaging. The algorithm was checked in neurosonology field, for parkinsonic features of hyperechogenity in substantia nigra. The first phase is focused on pre-processing and ROI selection and automatic checking input quality of images based on global andaverage intensity from histograms. The core is based on computing of an area of hyperechogenic ROI. This method is useful to evaluation pathology and physiology according to descending area in accordance with increasing threshold. The algorithm also hasbeen tested for measurement of raphe nucleus echogenicity also with reliable reached results. In addition, at present present this software is also used to finding atherosclerotic plaques in B-images to risk prevention of atherosclerosis
Název v anglickém jazyce
A software tool to image processing of ultrasound B-images suitable to finding atherosclerosis
Popis výsledku anglicky
The presented paper presents a developed program for image processing of medical ultrasound images based on thresholding in ROI of appropriate tissue. The algorithm has been developed for B-MODE ultrasound images in grayscale which is basic in ultrasoundimaging. The algorithm was checked in neurosonology field, for parkinsonic features of hyperechogenity in substantia nigra. The first phase is focused on pre-processing and ROI selection and automatic checking input quality of images based on global andaverage intensity from histograms. The core is based on computing of an area of hyperechogenic ROI. This method is useful to evaluation pathology and physiology according to descending area in accordance with increasing threshold. The algorithm also hasbeen tested for measurement of raphe nucleus echogenicity also with reliable reached results. In addition, at present present this software is also used to finding atherosclerotic plaques in B-images to risk prevention of atherosclerosis
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Signal Processing and Imaging Engineering
ISSN
2356-590X
e-ISSN
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Svazek periodika
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Číslo periodika v rámci svazku
2015
Stát vydavatele periodika
TN - Tuniská republika
Počet stran výsledku
7
Strana od-do
28-34
Kód UT WoS článku
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EID výsledku v databázi Scopus
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