Microcirculatory changes in venous disease

2013 ◽  
Vol 28 (1_suppl) ◽  
pp. 73-78 ◽  
Author(s):  
L C Huisman ◽  
C Den Bakker ◽  
C H A Wittens
Keyword(s):  
Wound Care ◽  
Daily Practice ◽  
Venous Ulcer ◽  
Venous Hypertension ◽  
Laser Speckle ◽  
Venous Disease ◽  
Laser Speckle Imaging ◽  
Speckle Imaging ◽  
Venous Ulcers ◽  
Before And After

Objective: The aim of this study was to investigate the feasibility to measure microcirculatory blood flow changes in patients with venous ulcers, by using the laser speckle imaging. Methods: Nine patients with a leg ulcer were measured with the laser speckle imager in a sitting position before and after mimicking venous hypertension, with the legs raised, by applying a blood pressure cuff and inflating it to 60 mmHg. Results: The results were inconclusive, due to the fact that a lot of practical problems interfered with the measurements, e.g. movement artefacts and inadequate wound visualisation. Conclusion: The additional value of laser speckle imaging in daily practice for wound care still remains an important question for further research. A reliable, reproducible microcirculation measurement in venous ulcers might predict venous ulcer healing and recurrence and therefore would be a valuable diagnostic tool in daily practice.

scholarly journals Prediction of venous wound healing with laser speckle imaging

2017 ◽  
Vol 32 (10) ◽  
pp. 658-664 ◽  
Author(s):  
Timme MAJ van Vuuren ◽  
Carina Van Zandvoort ◽  
Suat Doganci ◽  
Ineke Zwiers ◽  
Arina J tenCate-Hoek ◽  
...  
Keyword(s):  
Wound Healing ◽  
Ulcer Healing ◽  
Predictive Value ◽  
Venous Ulcer ◽  
Laser Speckle ◽  
Laser Speckle Imaging ◽  
Wound Edge ◽  
Speckle Imaging ◽  
Cutaneous Wounds ◽  
Sensitivity Specificity

Introduction Laser speckle imaging is used for noninvasive assessment of blood flow of cutaneous wounds. The aim of this study was to assess if laser speckle imaging can be used as a predictor of venous ulcer healing. Methods After generating the flux speckle images, three regions of interest (ROI) were identified to measure the flow. Sensitivity, specificity, negative predictive value, and positive predictive value for ulcer healing were calculated. Results In total, 17 limbs were included. A sensitivity of 92.3%, specificity of 75.0%, PPV of 80.0%, and NPV 75.0% were found in predicting wound healing based on laser speckle images. Mean flux values were lowest in the center (ROI I) and showed an increase at the wound edge (ROI II, p = 0.03). Conclusion Laser speckle imaging shows acceptable sensitivity and specificity rates in predicting venous ulcer healing. The wound edge proved to be the best probability for the prediction of wound healing.

scholarly journals Simple correction factor for laser speckle imaging of flow dynamics

2014 ◽  
Vol 39 (3) ◽  
pp. 678 ◽  
Author(s):  
J. C. Ramirez-San-Juan ◽  
R. Ramos-Garcia ◽  
G. Martinez-Niconoff ◽  
B. Choi
Keyword(s):  
Correction Factor ◽  
Flow Dynamics ◽  
Laser Speckle ◽  
Laser Speckle Imaging ◽  
Speckle Imaging

Laser speckle imaging reveals bacterial activity within colony

2021 ◽  
Author(s):  
Ilya Balmages ◽  
Janis Liepins ◽  
Dmitrijs Bliznuks ◽  
Stivens Zolins ◽  
Ilze Lihacova ◽  
...  
Keyword(s):  
Bacterial Activity ◽  
Laser Speckle ◽  
Laser Speckle Imaging ◽  
Speckle Imaging

scholarly journals Application of optical flow algorithms to laser speckle imaging

2019 ◽  
Vol 122 ◽  
pp. 52-59 ◽  
Author(s):  
AmirHessam Aminfar ◽  
Nami Davoodzadeh ◽  
Guillermo Aguilar ◽  
Marko Princevac
Keyword(s):  
Optical Flow ◽  
Laser Speckle ◽  
Laser Speckle Imaging ◽  
Speckle Imaging

scholarly journals Fourier transforms for fast and quantitative Laser Speckle Imaging

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
J. Buijs ◽  
J. van der Gucht ◽  
J. Sprakel
Keyword(s):  
Quantitative Data ◽  
Fourier Transforms ◽  
Imaging Technique ◽  
Laser Speckle ◽  
Frequency Range ◽  
Laser Speckle Imaging ◽  
Speckle Imaging ◽  
New Approach ◽  
Speckle Patterns ◽  
New Processing

Abstract Laser speckle imaging is a powerful imaging technique that visualizes microscopic motion within turbid materials. At current two methods are widely used to analyze speckle data: one is fast but qualitative, the other quantitative but computationally expensive. We have developed a new processing algorithm based on the fast Fourier transform, which converts raw speckle patterns into maps of microscopic motion and is both fast and quantitative, providing a dynamnic spectrum of the material over a frequency range spanning several decades. In this article we show how to apply this algorithm and how to measure a diffusion coefficient with it. We show that this method is quantitative and several orders of magnitude faster than the existing quantitative method. Finally we harness the potential of this new approach by constructing a portable laser speckle imaging setup that performs quantitative data processing in real-time on a tablet.

scholarly journals Characterization of Atherosclerotic Plaques by Laser Speckle Imaging

Circulation ◽  
2005 ◽  
Vol 112 (6) ◽  
pp. 885-892 ◽  
Author(s):  
Seemantini K. Nadkarni ◽  
Brett E. Bouma ◽  
Tina Helg ◽  
Raymond Chan ◽  
Elkan Halpern ◽  
...  
Keyword(s):  
Laser Speckle ◽  
Atherosclerotic Plaques ◽  
Laser Speckle Imaging ◽  
Speckle Imaging

scholarly journals The Role of Laser Speckle Imaging in Port-Wine Stain Research: Recent Advances and Opportunities

2016 ◽  
Vol 22 (3) ◽  
pp. 307-318 ◽  
Author(s):  
Bernard Choi ◽  
Wenbin Tan ◽  
Wangcun Jia ◽  
Sean M. White ◽  
Wesley J. Moy ◽  
...  
Keyword(s):  
Laser Speckle ◽  
Port Wine Stain ◽  
Port Wine ◽  
Laser Speckle Imaging ◽  
Speckle Imaging ◽  
Recent Advances ◽  
Stain Research
Sign in / Sign up

Export Citation Format

Share Document