Preprint Article Version 1 This version is not peer-reviewed

Thermography Quantification of Human Perfusion Thermal Signature

Version 1 : Received: 6 August 2018 / Approved: 8 August 2018 / Online: 8 August 2018 (03:28:55 CEST)

How to cite: AlZubaidi, A.K.; Hussein, A.F.; Basil, M.; Habash, Q.A. Thermography Quantification of Human Perfusion Thermal Signature. Preprints 2018, 2018080152 (doi: 10.20944/preprints201808.0152.v1). AlZubaidi, A.K.; Hussein, A.F.; Basil, M.; Habash, Q.A. Thermography Quantification of Human Perfusion Thermal Signature. Preprints 2018, 2018080152 (doi: 10.20944/preprints201808.0152.v1).

Abstract

Blood perfusion quantification is important vital parameters in different diagnostic procedure, using infrared thermography imaging; it is reliable to use this technique as non-contact, non-invasive blood flow measurement method. Therefore, we developed a measurement protocol for blood flow over the arm's anterior surface. By using the superficial brachial and radial veins to be monitored under the impact of cold-excitation of (2 °C to 5 °C), the blood perfusion signal was detected using thermal imager of long-wave infrared spectral range (LWIR, 7μm - 14 μm). The simulation of Penne's bioheat transfer equation was performed to be compared with results obtained from the infrared thermography. Furthermore, the proposed blood flow monitoring using external adjusting of the excitation temperature, by using (cold-compress, or cold air-stream) applied to the region under testing. The signal detected resembles to the hemodynamic pulse of the superficial veins, in the definition of systolic and diastolic phases of the cardiac cycle. Moreover, statistical analysis applied to the BFIRT signals from 24 subjects to estimate the skin's mean temperature after recovery from the thermal excitation.

Subject Areas

infrared thermography; blood perfusion signal; thermal excitation; bioheat transfer; Pennes equation; active thermography imaging

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