Superficial Dorsal Hand Vein Estimation

Alpar, Orcan; Krejcar, Ondřej

doi:10.1007/978-3-319-56148-6_36

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…In the study of Alpar and Krejcar [25,26] two different articles in IWBBIO 2017 conference about hand thermography was presented. Alpar and Krejcar used smartphonebased FLIR One to conduct the thermographic surveys.…”

Section: Related Work On Flir and Seek In Biomedicinementioning

confidence: 99%

FLIR vs SEEK thermal cameras in biomedicine: comparative diagnosis through infrared thermography

et al. 2020

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Background: In biomedicine, infrared thermography is the most promising technique among other conventional methods for revealing the differences in skin temperature, resulting from the irregular temperature dispersion, which is the significant signaling of diseases and disorders in human body. Given the process of detecting emitted thermal radiation of human body temperature by infrared imaging, we, in this study, present the current utility of thermal camera models namely FLIR and SEEK in biomedical applications as an extension of our previous article. Results: The most significant result is the differences between image qualities of the thermograms captured by thermal camera models. In other words, the image quality of the thermal images in FLIR One is higher than SEEK Compact PRO. However, the thermal images of FLIR One are noisier than SEEK Compact PRO since the thermal resolution of FLIR One is 160 × 120 while it is 320 × 240 in SEEK Compact PRO. Conclusion: Detecting and revealing the inhomogeneous temperature distribution on the injured toe of the subject, we, in this paper, analyzed the imaging results of two different smartphone-based thermal camera models by making comparison among various thermograms. Utilizing the feasibility of the proposed method for faster and comparative diagnosis in biomedical problems is the main contribution of this study.

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Section: Related Work On Flir and Seek In Biomedicinementioning

confidence: 99%

FLIR vs SEEK thermal cameras in biomedicine: comparative diagnosis through infrared thermography

et al. 2020

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“…The differences in temperature caused by vascularization anomalies have also been analysed for the thermographic detection of problems related to thrombosis and the study of the effect of the injection of substances in the veins (Urakov et al, 2014). Regarding advances in computer science, dorsal hand vein detection has been exploited for biometrics and bioinformatics purposes (Alpar & Krejcar, 2017). Computer vision has played an important role in these advances, through the application of its algorithms to thermal infrared images to improve the detection of thermal anomalies and their source pathology (Dayakshini et al, 2016).…”

Section: Thermal Infrared Thermographymentioning

confidence: 99%

Infrared Cephalic-Vein to Assist Blood Extraction Tasks: Automatic Projection and Recognition

Lagüela

Gesto

Riveiro

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Thermal infrared band is not commonly used in photogrammetric and computer vision algorithms, mainly due to the low spatial resolution of this type of imagery. However, this band captures sub-superficial information, increasing the capabilities of visible bands regarding applications. This fact is especially important in biomedicine and biometrics, allowing the geometric characterization of interior organs and pathologies with photogrammetric principles, as well as the automatic identification and labelling using computer vision algorithms. This paper presents advances of close-range photogrammetry and computer vision applied to thermal infrared imagery, with the final application of Augmented Reality in order to widen its application in the biomedical field. In this case, the thermal infrared image of the arm is acquired and simultaneously projected on the arm, together with the identification label of the cephalic-vein. This way, blood analysts are assisted in finding the vein for blood extraction, especially in those cases where the identification by the human eye is a complex task. Vein recognition is performed based on the Gaussian temperature distribution in the area of the vein, while the calibration between projector and thermographic camera is developed through feature extraction and pattern recognition. The method is validated through its application to a set of volunteers, with different ages and genres, in such way that different conditions of body temperature and vein depth are covered for the applicability and reproducibility of the method.

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