Literature DB >> 28008449

On the equivalence and differences between laser Doppler flowmetry and laser speckle contrast analysis.

Ingemar Fredriksson1, Marcus Larsson2.   

Abstract

Laser Doppler flowmetry (LDF) and laser speckle contrast analysis (LASCA) both utilize the spatiotemporal properties of laser speckle patterns to assess microcirculatory blood flow in tissue. Although the techniques analyze the speckle pattern differently, there is a close relationship between them. We present a theoretical overview describing how the LDF power spectrum and the LASCA contrast can be calculated from each other, and how both these can be calculated from an optical Doppler spectrum containing various degrees of Doppler shifted light. The theoretical relationships are further demonstrated using time-resolved speckle simulations. A wide range of Monte Carlo simulated tissue models is then used to show how perfusion estimates for LDF and LASCA are affected by changes in blood concentration and speed distribution, as well as by geometrical and optical properties. We conclude that perfusion estimates from conventional single exposure time LASCA are in general more sensitive to changes in optical and geometrical properties and are less accurate in the prediction of real perfusion changes, especially speed changes. Since there is a theoretical one-to-one relationship between Doppler power spectrum and contrast, one can conclude that those drawbacks with the LASCA technique can be overcome using a multiple exposure time setup.

Mesh:

Substances:

Year:  2016        PMID: 28008449     DOI: 10.1117/1.JBO.21.12.126018

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  9 in total

1.  Choosing a model for laser speckle contrast imaging.

Authors:  Chang Liu; Kıvılcım Kılıç; Sefik Evren Erdener; David A Boas; Dmitry D Postnov
Journal:  Biomed Opt Express       Date:  2021-05-21       Impact factor: 3.732

2.  Dynamic light scattering imaging.

Authors:  Dmitry D Postnov; Jianbo Tang; Sefik Evren Erdener; Kıvılcım Kılıç; David A Boas
Journal:  Sci Adv       Date:  2020-11-06       Impact factor: 14.136

3.  Assessing Renal Microvascular Reactivity by Laser Speckle-Contrast Imaging in Angiotensin-II-Treated Mice.

Authors:  Nicolas Mottard; Dan E Berkowitz; Lakshmi Santhanam
Journal:  Int J Nephrol Renovasc Dis       Date:  2020-03-27

4.  Machine learning in multiexposure laser speckle contrast imaging can replace conventional laser Doppler flowmetry.

Authors:  Ingemar Fredriksson; Martin Hultman; Tomas Strömberg; Marcus Larsson
Journal:  J Biomed Opt       Date:  2019-01       Impact factor: 3.170

5.  Validation of speed-resolved laser Doppler perfusion in a multimodal optical system using a blood-flow phantom.

Authors:  Hanna Jonasson; Ingemar Fredriksson; Marcus Larsson; Tomas Strömberg
Journal:  J Biomed Opt       Date:  2019-09       Impact factor: 3.170

Review 6.  Noninvasive hemoglobin sensing and imaging: optical tools for disease diagnosis.

Authors:  Michaela Taylor-Williams; Graham Spicer; Gemma Bale; Sarah E Bohndiek
Journal:  J Biomed Opt       Date:  2022-08       Impact factor: 3.758

Review 7.  Application of Indocyanine Green Enhanced Fluorescence in Esophageal Surgery: A Mini Review.

Authors:  Nicola Tamburini; Matteo Chiozza; Pio Maniscalco; Giuseppe Resta; Serafino Marino; Francesco Quarantotto; Gabriele Anania; Giorgio Cavallesco
Journal:  Front Surg       Date:  2022-07-08

8.  Increased visceral tissue perfusion with heated, humidified carbon dioxide insufflation during open abdominal surgery in a rodent model.

Authors:  Jonathan P Robson; Pavlo Kokhanenko; Jean K Marshall; Anthony R Phillips; Jan van der Linden
Journal:  PLoS One       Date:  2018-04-04       Impact factor: 3.240

9.  Real-time video-rate perfusion imaging using multi-exposure laser speckle contrast imaging and machine learning.

Authors:  Martin Hultman; Marcus Larsson; Tomas Strömberg; Ingemar Fredriksson
Journal:  J Biomed Opt       Date:  2020-11       Impact factor: 3.170

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.