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Infrared Thermographs- Methods for Evaluating Laboratory Performance

Catalog of Regulatory Science Tools to Help Assess New Medical Devices 

 

This regulatory science tool presents a lab method for objective, quantitative assessment of infrared thermographs (IRTs) performance based on IEC 80601-2-59: 2017 [1]. Please see appendix.  

 

Technical Description

Methods for evaluating stability and drift, image uniformity, minimum resolvable temperature difference, and radiometric temperature laboratory accuracy of IRTs are described in detail in peer-reviewed publication [2].

IRTs have been used for initial temperature assessment and triage of individuals for elevated temperatures in medical and non-medical environments. To achieve good accuracy, qualified IRT systems should be used, and appropriate procedures should be consistently applied. This tool provides methods for testing IRT laboratory accuracy which can enhance the methods in the international standard [1].

The tool may improve the utility of IRTs and aid in comparing IRT performance, thus improving the potential for producing high-quality countermeasures during infectious disease outbreaks.

Intended Purpose

The tool is intended for evaluation of IRT laboratory accuracy. It enables, streamlines, or otherwise improves verification, validation and quality control during design, development and manufacturing of IRTs. The testing described in this tool should be performed by persons with engineering background in thermography.

Testing

The method has been tested on two infrared cameras (A325sc, FLIR Systems Inc.; 8640 P-series, Infrared Cameras Inc.). Details are described in our publication [2].

Limitations

  • This tool is for IRTs that capture whole face thermal images. Therefore, there are requirements for camera configuration (for example, pixel number).
  • This tool can only be used to evaluate IRT laboratory accuracy. A complete assessment of IRT performance should also include clinical accuracy evaluation as described in a publication [3]
  • This tool is not intended for evaluating laboratory accuracy of some temperature scanner kiosks that identify the region of interest (ROI) with a visible light camera and to measure the ROI temperature with an infrared sensor with limited number of pixels. However, methods for evaluating those devices might be derived from this tool.

Supporting Documentation

  • This tool enhances the test methods found in the IEC 80601-2-59: 2017 standard [1] for evaluating the stability and drift, image uniformity, minimum resolvable temperature difference, and radiometric temperature laboratory accuracy of IRTs. The standard provides an overview of test methods as well as background information such as scope, definitions, testing equipment, procedure, and hazard.
  • Scientific details about the tool can be found in our publication [2].
  • A comparison of the enhanced methods provided by this tool with the methods specified in the standard can be found in the appendix.

Contact

For more information:

Note: This tool was previously listed in the catalog as “Laboratory accuracy evaluation of infrared thermographs.”

Appendix: Method for evaluating laboratory accuracy of infrared thermographs

Acronym List

AcronymFull name
ASTMAmerican Society for Testing and Materials
BBblackbody
CScalibration source (usually an extended area blackbody)
ETRSexternal temperature reference source (usually a blackbody with known temperature and emissivity), often part of a ST
FOVfield of view
IECInternational Electrotechnical Commission (standards organization)
IRInfrared
IRTIR thermograph (also called IR camera), often works with an ETRS
ISOInternational Organization for Standardization (standards organization)
MRTDminimum resolvable temperature difference
NCITnon-contact IR thermometers
ROIregion of interest
SDstandard deviation
STscreening thermograph, often composed of an IRT and an ETRS
WTPworkable target plane (can be equal or less than the IRT’s FOV)

Symbol List

SymbolDefinition
uDstandard uncertainty of the measurement drift
uSstandard uncertainty of the measurement stability
uUstandard uncertainty of the measurement uniformity of the WTP
uERstandard uncertainty of the ETRS temperature
uMRTDstandard uncertainty caused by the MRTD
uSTuncertainty of the ST
u_ST^2=u_D^2+ u_S^2+ u_U^2+ u_ER^2+u_MRTD^2
uCSstandard uncertainty of the CS used in calibration of the ST
ucombined standard uncertainty of the laboratory accuracy
u^2=u_CS^2+ u_ST^2
TSTtemperature of the CS measured by the ST
TCStemperature of the CS
M8hmean value for 8 hours measurement
M8h,min ,
M8h,max 
minimum and maximum of the mean value for 8 hours measurement
SD8hstandard deviation for 8 hours of measurement

Setup, device, and environmental requirements:

  • Minimum WTP resolution in thermograms: 320 × 240 pixels
  • Minimum resolution for the subject's face in thermograms: 240 × 180 pixels
  • Minimum ETRS resolution in thermograms: 20 × 20 pixels
  • Minimum spatial resolution of ~1 mm /pixel (i.e., one pixel can image an area of 1×1mm2 on the face)
  • Ambient temperature: 18°C – 24°C
  • Relative humidity: 10% – 75%
  • Airflow from ventilation ducts should be deflected to minimize forced cooling or heating of the target.
  • No source of IR radiation (for example, incandescent and halogen lighting) surrounds the experimental setup.

Comparison:

Our studyExternal Link Disclaimer [2] evaluated and enhanced some requirements and test method in the IEC 80601-2-59:2017 standard [1]. The following table compares the differences between the standard methods and our proposed methods.

 IEC 80601-2-59: 2017Enhancements of RST
Stability and driftTest procedure
  • See clause 201.101.4.
  • The testing period should be the device's calibration interval or two weeks, whichever is longer.
  • Same as the standard. Detailed instruction is provided in Section 2.3.1.
  • The testing period should be the device's calibration interval or one month, whichever is longer.
Requirements

Stability:

  • 3·〖SD〗_8h < 0.1°C

Drift:

  • M_(8h,max)-M_(8h,min)<0.1°C

The combined stability and drift:

  • Stability + Drift<0.2°C.

Stability:

  • Standard uncertainty u_s=〖SD〗_8h  <0.03°C, or
  • Expanded uncertainty U_s=k〖·u〗_s<0.1°C, with coverage factor k=3 and confidence level >99%.

Drift:

  • Standard uncertainty 〖u_d=M〗_(8h,max)-M_(8h,min)<0.1°C
Notes
  • Following the standard, we calculated the mean (M_frame) of the ROI on each captured frame, followed by the mean (M_8h) and SD (〖SD〗_8h) of all the M_frame values within one day (8 hours). M_(8h,max) and M_(8h,min) are the maximum and minimum M_8h values during the drift testing period.
  • Since the drift trend can be monotonical, drift is the maximum difference between M_8h values during the testing period (i.e., the device's calibration interval or two weeks, whichever is longer). 
  • Calculation of M_frame will reduce random noise by a factor of √N, where N is the number of pixels in the ROI for mean calculation. The random noise is considered in the uniformity test.
  • Based on our recommendations, the requirement for combined stability and drift is redundant and can be removed.
Uniformity of WTPTest procedure
  • See Clause 201.101.6.
  • The CS is repositioned at no less than 29 locations (four corners, center, and at least 24 random locations) throughout the WTP, and the CS temperature was measured with the IRT at each location.
  • See Section 2.3.2 for details.
  • The CS is repositioned in front of the IRT so that the CS aperture can cover the entire FOV of the IRT.
  • The camera should be focused on the working distance for uniformity evaluation to avoid the effect of focal length.
  • The SD of temperature values from all the pixels within the WTP is defined as the standard uncertainty of uniformity (uU)
Requirements
  • The maximum difference between the 29 CS temperature values is less than 0.2°C.
uU <0.05°C
Notes
  • The standard does not explain whether the CS temperature should be read from one pixel or the average of several pixels. Since only 29 values are used, the test result has poor repeatability and large variation.
MRTDTest procedure
  • See Clause 201.101.5. Complies with the ASTM E1213-14 standardExternal Link Disclaimer [4]
  • A standard four-bar target is mounted in front of the CS (a differential blackbody).
  • The target is imaged with the IRT and displayed on a video monitor where the image is viewed by an observer.
  • The temperature difference (ΔT) between the bars and their conjugates, initially zero, is increased incrementally only until the observer can distinguish the four bars. This critical temperature difference is the MRTD for this observer.
  • Repeat the procedure for multiple observers and report the median MRTD values for all the observer as the final MRTD result.
  • The ASTM E1213-14 standard has no requirement for the spatial frequency and background temperature of the bar target, but requires these values be reported.
  • Monitor quality and setting (e.g., brightness and contrast) and viewing environment might affect results.
  • See Section 2.3.3 for details.
  • Same setup with the ASTM E1213-14 method.
  • Instead of using observers, the contrast of the target bar images is digitally analyzed directly. The minimum visible contrast is defined as 10% and the ΔT value corresponding to the 10% contrast is defined as MRTD.
  • MRTD can be affected by the target/ambient temperature. Since human face temperature usually ranges from 34 °C to 36 °C, we recommend the bar target temperature for MRTD measuring is set within this range.
  • The MRTD values in the horizontal and vertical directions might be different and should be measured in both directions.
  • MRTD will increase with the bar target spatial frequency and should be evaluated with different bar targets of different spatial frequencies. A graph of MRTD versus spatial frequency is a convenient form of reporting the data. The highest spatial frequency should at least be 0.2 cycles/mrad. The MRTD uncertainty (uMRTD) is defined as the difference of MRTD values between the highest and lowest target spatial frequencies.
  • The final uMRTD value is the average of uMRTD values in both the vertical and horizontal directions.
RequirementsMRTD is not larger than 0.1°CMRTD at the highest spatial frequency (≥0.2 cycles/mrad) is not greater than 0.1°C.
Notes
  • The ASTM E1213-14 method is subjective, and thus susceptible to reader variability, which is not ideal for standardization. By omitting observers, our proposed method significantly simplifies the MRTD measurement.
  • The ASTM E1213-14 method does not specify MRTD value at which spatial frequency should satisfy the requirement. The method does not discuss the effect of target temperature and direction either.
Radiometric temperature laboratory accuracyRequirements
  • The measured radiometric temperature laboratory accuracy shall satisfy |T_ST-T_CS |+|u|≤0.5 over the range of at least 34°C to 39°C at no less than five CS temperature points.
CS emissivityRequirements≥0.998 (Annex BB)0.98±0.01
NoteIt is difficult to find a commercial blackbody with emissivity ≥0.998 in the temperature range of 30°C to 40°C (clause 201.101.2.1). While some cavity blackbodies have emissivity around 0.99, they usually operate at temperature higher than 50°C. We were unable to identify a justification for the specified emissivity in the standard (references in the standard do not mention an emissivity of 0.998). We believe CS emissivity of 0.98±0.01 should be sufficient if proper emissivity compensation is applied in the IRT algorithm.
ETRS sizeRequirementsLess than 10% of the face (Annex AA)A larger size (15±20%) is also acceptable if it can be experimentally proven that the ETRS does not adversely affect the measurement.

Note: Contents in this appendix are based on references [1, 2].

References:

[1] IEC 80601-2-59: Medical electrical equipment - Part 2-59: Particular requirements for the basic safety and essential performance of screening thermographs for human febrile temperature screeningExternal Link Disclaimer, IEC, Geneva, Switzerland, 2017.

https://www.youtube.com/watch?v=SbVc5YyMRAY

[2] P. Ghassemi, T. J. Pfefer, J. P. Casamento, R. Simpson, and Q. Wang, "Best practices for standardized performance testing of infrared thermographs intended for fever screeningExternal Link Disclaimer," PLoS ONE, vol. 13, no. 9, p. e0203302, 2018.

[3] Q. Wang, Y. Zhou, P. Ghassemi, D. McBride, J. P. Casamento, and T. J. Pfefer, "Infrared Thermography for Measuring Elevated Body Temperature: Clinical Accuracy, Calibration, and EvaluationExternal Link Disclaimer," Sensors, vol. 22, p. 215, 2022.

[4] ASTM E1213-14: Standard Practice for Minimum Resolvable Temperature Difference for Thermal Imaging SystemsExternal Link Disclaimer, ASTM, West Conshohocken, PA, USA, 2014.