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Flowmotion imaging analysis of spatiotemporal variations in skin microcirculatory perfusion

Hultman, Martin (författare)
Linköpings universitet,Avdelningen för medicinsk teknik,Tekniska fakulteten,Perimed AB, Sweden
Larsson, Marcus (författare)
Linköpings universitet,Avdelningen för medicinsk teknik,Tekniska fakulteten
Strömberg, Tomas (författare)
Linköpings universitet,Avdelningen för medicinsk teknik,Tekniska fakulteten
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Henricson, Joakim (författare)
Linköpings universitet,Avdelningen för klinisk kemi och farmakologi,Medicinska fakulteten,Region Östergötland, Akutkliniken i Linköping
Iredahl, Fredrik, 1988- (författare)
Linköpings universitet,Medicinska fakulteten,Avdelningen för samhälle och hälsa,Region Östergötland, Vårdcentralen Åby
Fredriksson, Ingemar (författare)
Linköpings universitet,Avdelningen för medicinsk teknik,Tekniska fakulteten,Perimed AB, Sweden
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 (creator_code:org_t)
ACADEMIC PRESS INC ELSEVIER SCIENCE, 2023
2023
Engelska.
Ingår i: Microvascular Research. - : ACADEMIC PRESS INC ELSEVIER SCIENCE. - 0026-2862 .- 1095-9319. ; 146
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background: Flowmotion is the rhythmical variations in measured skin blood flow that arise due to global and local regulation of the vessels and can be studied using frequency analysis of time-resolved blood flow signals. It has the potential to reveal clinically useful information about microvascular diseases, but the spatial heteroge-neous nature of the microvasculature makes interpretation difficult. However, recent technological advances in multi-exposure laser speckle contrast imaging (MELSCI) enable new possibilities for simultaneously studying spatial and temporal variations in flowmotion.Aim: To develop a method for flowmotion analysis of MELSCI perfusion images. Furthermore, to investigate the spatial and temporal variations in flowmotion in forearm baseline skin perfusion.Method: In four healthy subjects, forearm skin perfusion was imaged at 15.6 fps for 10 min in baseline. The time -trace signal in each pixel was analyzed using the wavelet transform and summarized in five physiologically relevant frequency intervals, resulting in images of flowmotion. Furthermore, a method for reducing the effect of motion artifacts in the flowmotion analysis was developed.Results: The flowmotion images displayed patterns of high spatial heterogeneity that differed between the fre-quency intervals. The spatial variations in flowmotion, quantified as the coefficient of variation, was between 11 % and 31 % in four subjects. Furthermore, significant temporal variations in flowmotion were also observed, indicating the importance of a spatiotemporal analysis.Conclusion: The new imaging technique reveals significant spatial differences in flowmotion that cannot be ob-tained with single-point measurements. The results indicate that global statistics of flowmotion, such as the mean value in a large region of interest, is more representative of the microcirculation than data measured only in a single point. Therefore, imaging techniques have potential to increase the clinical usefulness of flowmotion analysis.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Medicinteknik -- Medicinsk laboratorie- och mätteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Medical Engineering -- Medical Laboratory and Measurements Technologies (hsv//eng)

Nyckelord

Flowmotion; Vasomotion; Microcirculation; Perfusion; MELSCI; LSCI

Publikations- och innehållstyp

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