Thermal Imaging for Localization of Anterior Forearm Subcutaneous Veins

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50014706" target="_blank" >RIV/62690094:18450/18:50014706 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-319-78759-6_23" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-78759-6_23</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-78759-6_23" target="_blank" >10.1007/978-3-319-78759-6_23</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Thermal Imaging for Localization of Anterior Forearm Subcutaneous Veins

Popis výsledku v původním jazyce

The anterior forearm recognition systems are very popular identify the subcutaneous veins, mostly by devices operating real-time. Real time projection systems are carried out by handheld devices with a near infrared (NIR) camera and a laser projector to choose venipuncture sites; however what we propose in this paper is an easier and more reliable way using infrared thermal (IR-T) camera. At the forearm some veins like Cephalic vein are mostly so concealed to detect by NIR cameras, therefore we propose an alternative method for localization of the whole vein system without preprocessing. Briefly in the thermograms, the forearm is segmented from the surrounding by crisp 2- means and the vein system is reconstructed on blank images by directional curvature method. All directional curvatures are combined by addition for merging the layers and highlighting mutual veins. The preliminary results are promising since all the vein system is revealed with invisible veins without any preprocessing.

Název v anglickém jazyce

Thermal Imaging for Localization of Anterior Forearm Subcutaneous Veins

Popis výsledku anglicky

The anterior forearm recognition systems are very popular identify the subcutaneous veins, mostly by devices operating real-time. Real time projection systems are carried out by handheld devices with a near infrared (NIR) camera and a laser projector to choose venipuncture sites; however what we propose in this paper is an easier and more reliable way using infrared thermal (IR-T) camera. At the forearm some veins like Cephalic vein are mostly so concealed to detect by NIR cameras, therefore we propose an alternative method for localization of the whole vein system without preprocessing. Briefly in the thermograms, the forearm is segmented from the surrounding by crisp 2- means and the vein system is reconstructed on blank images by directional curvature method. All directional curvatures are combined by addition for merging the layers and highlighting mutual veins. The preliminary results are promising since all the vein system is revealed with invisible veins without any preprocessing.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture notes in computer science

ISBN

978-3-319-78758-9

ISSN

0302-9743

e-ISSN

neuvedeno

Počet stran výsledku

12

Strana od-do

243-254

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Granada

Datum konání akce

25. 4. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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