ArticleMicrovascular research2017
Monitoring microvascular perfusion variations with laser speckle contrast imaging using a view-based temporal template method.
Article in Microvascular research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 22 citations in OpenAlex.
- Peripheral perfusion noninvasive monitoring technologies - a literature and patent review.Journal of clinical monitoring and computing · 2026Review
- Effect of the Tracheal Optical Properties on the Spectral Assessment of the Level of Its Blood Supply In Vivo.Diagnostics (Basel, Switzerland) · 2025Article
- Application of temporal correlation algorithm to interpret laser Doppler perfusion imaging.Lasers in medical science · 2019Article
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Authors and funding
5 authors at 3 institutions in 3 countries.
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Abstract
purposeLaser speckle contrast imaging (LSCI) continues to gain an increased interest in clinical and research studies to monitor microvascular perfusion. Due to its high spatial and temporal resolutions, LSCI may lead to a large amount of data. The analysis of such data, as well as the determination of the regions where the perfusion varies, can become a lengthy and tedious task. We propose here to analyze if a view-based temporal template method, the motion history image (MHI) algorithm, may be of use in detecting the perfusion variations locations.
methodsLSCI data recorded during three different kinds of perfusion variations are considered: (i) cerebral blood flow during spreading depolarization (SD) in a mouse; (ii) cerebral blood flow during SD in a rat; (iii) cerebral blood flow during cardiac arrest in a rat. Each of these recordings was processed with MHI.
resultsWe show that, for the three pathophysiological situations, MHI identifies the area in which perfusion evolves with time. The results are more easily obtained compared with a visual inspection of all of the frames constituting the recordings. MHI also has the advantage of relying on a rather simple algorithm.
conclusionsMHI can be tested in clinical and research studies to aid the user in perfusion analyses.
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