Speed detection to suppress motion artifacts (MA) in laser speckle contrast imaging

Ata Chizari*, Mirjam J. Schaap, Tom Knop, Marieke M.B. Seyger, Wiendelt Steenbergen

*Corresponding author for this work

Research output: Contribution to conferencePosterAcademic

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Introduction: Laser speckle contrast imaging (LSCI) is an optical technique for noninvasive assessment of microcirculatory blood flow. LSCI has a broad application in medicine including dermatology. Since laser speckles are the basis for this imaging modality, any external motions during a measurement from both patient and operator affect the blood flow images. This challenge is called motion artefacts (MA).

Objective: Here, we propose a complete procedure for analysis of speckles, that is, pre-segmentation, segmentation, motion detection, spatial alignment, perfusion map calculation and MA suppression.

Methods: The handheld perfusion imager (HAPI) operated in both handheld and mounted schemes, has been used for measurements on 14 psoriasis subjects. We make use of the black marker dots (made by the clinical investigator to determine visual psoriasis lesion boundaries) for calculation of two-dimensional displacements of HAPI during each measurement (i.e. on-surface displacements).

Results: We have integrated the on-surface displacements to translate each speckle image back to the initial position at the start of the measurement (i.e. spatial alignment). Moreover, in handheld measurements, MA corrected blood flow maps (also called perfusion maps) are formed by extrapolation of a linear fit from local perfusion versus detected speed to the zero speed, that is, a value ideally always lower than the local mean perfusion.

Conclusion: Using a single camera for both speckle imaging and motion detection, we have shown that our MA suppression technique makes handheld perfusion maps fairly similar to the associated mounted perfusion maps not only visually but also in terms of image histograms and mean values.
Original languageEnglish
Publication statusPublished - 2023
EventTechMed Research Day 2023 - University of Twente - TechMed Center, Enschede, Netherlands
Duration: 15 Jun 202315 Jun 2023


ConferenceTechMed Research Day 2023
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