About this Research Topic
Speckle effect is often considered as a major drawback when coherent imaging techniques are used. The non-homogeneous characteristics of biological tissues induce the appearance of light and dark spots (speckles) in both two and three dimensional data. Many efforts have been put in the reduction and elimination of these artifacts. However, both the dynamic tissue components, like blood flow, and the static tissue components, like cell sizes, result in characteristic speckle patterns that carry useful information.
Speckle analysis has been used in restricted applications, for example laser speckle flowmetry, for biomarkers extraction and determination. The major goal of this research topic is to expand the analysis of these speckles to other physiological systems, and imaging techniques, in order to determine new speckle based biomarkers that could improve diagnosis and treatment. The propositions for this research topic can be focused on simulation works that study the nature of the speckle patterns, bench experiments using dedicated phantoms, or data extracted from health or disease subjects of different natures.
The authors are encouraged to submit original articles and review papers in the field of speckle analysis in network physiology. Specific topics can be focused on, but no limited to:
-Speckle analysis for features extraction in the cardiovascular system, respiratory system and neural system.
-Statistical analysis of soft tissue speckles.
-Laser speckle contrast imaging quantification issues.
-Optical coherence tomography dynamic and static speckle analysis.
-Novel theoretical and simulation approaches to the analysis of speckle patterns.
Keywords: Speckle, Biomarker, Statistics, Biomedical Imaging, Classification, Simulation
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