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. 2014 Mar 5;5(4):1075-89.
doi: 10.1364/BOE.5.001075. eCollection 2014 Apr 1.

Contact-free monitoring of circulation and perfusion dynamics based on the analysis of thermal imagery

Affiliations

Contact-free monitoring of circulation and perfusion dynamics based on the analysis of thermal imagery

Carina Barbosa Pereira et al. Biomed Opt Express. .

Abstract

Acute circulatory disorders are commonly associated with systemic inflammatory response (SIRS) and sepsis. During sepsis, microcirculatory perfusion is compromised leading to tissue hypoperfusion and potentially to multiple organ dysfunction. In the present study, acute lung injury (ALI), one of the major causes leading to SIRS and sepsis, was experimentally induced in six female pigs. To investigate the progress of body temperature distribution, measurements with a long-wave infrared camera were carried out. Temperature centralization was evidenced during ALI owing to impairments of peripheral perfusion. In addition, statistical analysis demonstrated strong correlations between (a) standard deviation of the skin temperature distribution (SD) and shock index (SI) (p<0.0005), (b) SD and mean arterial pressure (MAP) (p<0.0005), (c) ΔT/Δx and SI (p<0.0005), as well as between (d) ΔT/Δx and MAP (p<0.0005). For clarification purposes, ΔT/Δx is a parameter implemented to quantify the spatial temperature gradient. This pioneering study created promising results. It demonstrated the capacity of infrared thermography as well as of the indexes, SD and ΔT/Δx, to detect impairments in both circulation and tissue perfusion.

Keywords: (040.3060) Infrared; (170.1610) Clinical applications; (170.2655) Functional monitoring and imaging.

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Figures

Fig. 1
Fig. 1
Photography of the experimental setup (1: anesthetized animal; 2: infrared camera; 3: laptop; 4: patient monitoring system (Philips IntelliVue MP 70, Philips Medical Systems, Eindhoven, Netherlands); 5: Ventilator (Siemens 300A Servo Ventilator, Siemens Healthcare, Munich, Germany) and 6: Syringe pumps).
Fig. 2
Fig. 2
Chronogram representing all the measurement time points (B: Baseline; PL: Post-lavage; ALI: acute lung injury).
Fig. 3
Fig. 3
Schematic of the experimental setup used in the animal trial.
Fig. 4
Fig. 4
(a) Thermogram with temperature profile. (b) Graphic representation of the temperature profile (Dash-dot line - blue) as well as of the fitting curve (solid line - gray). ΔT/Δx correspond to the slope of the fitting curve (ΔT/Δx = 0.1160).
Fig. 5
Fig. 5
Original thermograms at six differing points of time [(a) Baseline, (d) ALI 1, (g) ALI 7, (j) ALI 13, (m) ALI 19, (p) ALI 25]. Thermograms representing ROIs after pre-processing [(b) Baseline, (e) ALI 1, (h) ALI 7, (k) ALI 13, (n) ALI 19, (q) ALI 25]. Histograms representing the relative skin temperature distribution of the ROIs (head, superior limbs and trunk) [(c) Baseline, (f) ALI 1, (i) ALI 7, (l) ALI 13, (o) ALI 19, (r) ALI 25]. Regarding the white frames (e, n, q), they identify regions that were not properly extracted. The blue frame (q) defines a region that was wrongly considered as background.
Fig. 6
Fig. 6
Boxplots describing the course of (a) Skewness and (b) Kurtosis over the measurement points. The outliers are identified with the number of the corresponding animal (“o” and “*” stand for mild (between 1.5 and 3x interquartile range) and extreme (>3x interquartile range) outliers, respectively).
Fig. 7
Fig. 7
Boxplots describing the course of (a) Shock index (SI), (b) mean arterial pressure (MAP), (c) standard deviation (SD) and (d) ΔT/Δx over the fifteen measurement points [B (baseline), PL (post-lavage), ALI 1, ALI 3, ALI 5, ALI 7, ALI 9, ALI 11, ALI 13, ALI 15, ALI 17, ALI 19, ALI 21, ALI 23 and ALI 25]. Difference between groups are significant for ΔT/Δx (p<0.0005) and SD (p<0.0005). The outliers are identified with the number of the corresponding animal (“o” and “*” stand for mild (between 1.5 and 3x interquartile range) and extreme (>3x interquartile range) outliers, respectively).
Fig. 8
Fig. 8
Boxplots describing the course of (a) PF ratio and (b) PaO2 over the fifteen measurement points. Difference between groups are significant for PaO2 (p=0.006) and PF ratio (p=0.002). The outliers are identified with the number of the corresponding animal (“o” and “*” stand for mild (between 1.5 and 3x interquartile range) and extreme (>3x interquartile range) outliers, respectively).

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