A robust Fourier-based method to measure pulse pressure variability

Acosta, Sebastián; Ahmed, Mubbasheer; Yin, Suellen Moli; Brady, Ken; Penny, Daniel J.; Rusin, Craig G.

doi:10.1016/j.bspc.2020.101947

Cited by 4 publications

(2 citation statements)

References 43 publications

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“…In recent years, different types of computational image analysis have found their application in life sciences, with the potential to change the future of medicine [8,9]. Fractal analysis, as a method for quantifying the complexity of natural objects, is being increasingly used in biomedical research [10][11][12][13], including a few studies in the field of microbiology, focusing on bacteria [14,15], fungi [16], and Plasmodium [17]. In addition, particle analysis, a computational biology method for precise cell counting [18], has been successfully applied in several studies for the counting of parasites, including T. gondii [7,19].…”

Section: Introductionmentioning

confidence: 99%

Computational image analysis reveals the structural complexity of Toxoplasma gondii tissue cysts

et al. 2020

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Toxoplasma gondii is an obligate intracellular parasite infecting up to one third of the human population. The central event in the pathogenesis of toxoplasmosis is the conversion of tachyzoites into encysted bradyzoites. A novel approach to analyze the structure of in vivoderived tissue cysts may be the increasingly used computational image analysis. The objective of this study was to quantify the geometrical complexity of T. gondii cysts by morphological, particle, and fractal analysis, as well as to determine if it is impacted by parasite strain, cyst age, and host type. A total of 31 images of T. gondii brain cysts of four type-2 strains (Me49, and local isolates BGD1, BGD14, and BGD26) was analyzed using ImageJ software. The parameters of interest included diameter, circularity, packing density (PD), fractal dimension (FD), and lacunarity. Although cyst diameter varied widely, its negative correlation with PD was observed. Circularity was remarkably close to 1, indicating a perfectly round shape of the cysts. PD and FD did not vary among cysts of different strains, age, and derived from mice of different genetic background. Conversely, lacunarity, which is a measure of heterogeneity, was significantly lower for BGD1 strain vs. all other strains, and higher for Me49 vs. BGD14 and BGD26, but did not differ among Me49 cysts of different age, or those derived from genetically different mice. The results indicate a highly uniform structure and occupancy of the different T. gondii tissue cysts. This study furthers the use of image analysis in describing the structural complexity of T. gondii cyst morphology, and presents the first application of fractal analysis for this purpose. The presented results show that use of a freely available software is a cost-effective approach to advance automated image scoring for T. gondii cysts.

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Section: Introductionmentioning

confidence: 99%

Computational image analysis reveals the structural complexity of Toxoplasma gondii tissue cysts

et al. 2020

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“…As a surrogate for the pulse pressure variability, the PVI is associated with volume responsiveness. 14 Using this approach, PVI was computed every minute and then averaged over 5-minute windows.…”

Section: Methodsmentioning

confidence: 99%