An algorithm to echogenicity level identification on medical B-images and its applicability on FPGA platform.
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F15%3A%230005542" target="_blank" >RIV/47813059:19240/15:#0005542 - isvavai.cz</a>
Výsledek na webu
<a href="http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7397234&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7397234" target="_blank" >http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7397234&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7397234</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
An algorithm to echogenicity level identification on medical B-images and its applicability on FPGA platform.
Popis výsledku v původním jazyce
This paper is focused on digital image analysis of B-MODE ultrasound images. Our study is specialized in transcranial B-images in neurology. We have developed an algorithm in MATLAB which is used to finding echogenicity level in substantia nigra to detection of Parkinson's Disease. The algorithm was also contemporaneously tested and verified for nucleus raphe echogenicity analysis. In future we would like to use this algorithm to detection of atherosclerotic plaques as a useful tool to early atherosclerosis detection but at first we must find some characteristics in B-images how to distinguish plaques. In addition, we want to use the algorithm on Xilinx Kintex-7 FPGA DSP Development Kit to create an independent solution. Up to the present we have an experimental solution focused on interconnection of the kit with MATLAB and use the computing core with this kit. Xilinx Kintex - 7 FPGA DSP Development Kit represents a complex hardware solution to effective FPGA implementation.
Název v anglickém jazyce
An algorithm to echogenicity level identification on medical B-images and its applicability on FPGA platform.
Popis výsledku anglicky
This paper is focused on digital image analysis of B-MODE ultrasound images. Our study is specialized in transcranial B-images in neurology. We have developed an algorithm in MATLAB which is used to finding echogenicity level in substantia nigra to detection of Parkinson's Disease. The algorithm was also contemporaneously tested and verified for nucleus raphe echogenicity analysis. In future we would like to use this algorithm to detection of atherosclerotic plaques as a useful tool to early atherosclerosis detection but at first we must find some characteristics in B-images how to distinguish plaques. In addition, we want to use the algorithm on Xilinx Kintex-7 FPGA DSP Development Kit to create an independent solution. Up to the present we have an experimental solution focused on interconnection of the kit with MATLAB and use the computing core with this kit. Xilinx Kintex - 7 FPGA DSP Development Kit represents a complex hardware solution to effective FPGA implementation.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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 statě ve sborníku
2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)
ISBN
977-237-172-3
ISSN
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e-ISSN
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Počet stran výsledku
7
Strana od-do
281-287
Název nakladatele
IEEE
Místo vydání
Egypt
Místo konání akce
Cairo; Egypt
Datum konání akce
1. 1. 2015
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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