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Erschienen in:
Know-GRRF: Domain-Knowledge Informed Biomarker Discovery with Random Forests Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Thermal Imaging for Localization of Anterior Forearm Subcutaneous Veins

verfasst von : Orcan Alpar, Ondrej Krejcar

Erschienen in: Bioinformatics and Biomedical Engineering

Verlag: Springer International Publishing

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Abstract

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.

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Vorheriges Kapitel Advances in Homotopy Applied to Object Deformation
Nächstes Kapitel Detection of Irregular Thermoregulation in Hand Thermography by Fuzzy C-Means
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Metadaten
Titel
Thermal Imaging for Localization of Anterior Forearm Subcutaneous Veins
verfasst von
Orcan Alpar
Ondrej Krejcar
Copyright-Jahr
2018
Buch
Bioinformatics and Biomedical Engineering

Print ISBN: 978-3-319-78758-9

Electronic ISBN: 978-3-319-78759-6

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-78759-6_23