The use of cross-correlation analysis between high-frequency ultrasound images to measure longitudinal median nerve movement

In order to obtain richer information on the cross-correlation properties between two time series, we introduce a method called multiscale multifractal detrended cross-correlation analysis (MM-DCCA). This method is based on the Hurst surface and can be used to study the non-linear relationship between two time series. By sweeping through all the scale ranges of the multifractal structure of the complex system, it can present more information than the multifractal detrended cross-correlation analysis (MF-DCCA). In this paper, we use the MM-DCCA method to study the cross-correlations between two sets of artificial data and two sets of 5[Formula: see text]min high-frequency stock data from home and abroad. They are SZSE and SSEC in the Chinese market, and DJI and NASDAQ in the US market. We use Hurst surface and Hurst exponential distribution histogram to analyze the research objects and find that SSEC, SZSE and DJI, NASDAQ all show multifractal properties and long-range cross-correlations. We find that the fluctuation of the Hurst surface is related to the positive and negative of [Formula: see text], the change of scale range, the difference of national system, and the length of time series. The results show that the MM-DCCA method can give more abundant information and more detailed dynamic processes.

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Segmentation of 3-D High-Frequency Ultrasound Images of Human Lymph Nodes Using Graph Cut With Energy Functional Adapted to Local Intensity Distribution

IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control ◽

10.1109/tuffc.2017.2737948 ◽

2017 ◽

Vol 64 (10) ◽

pp. 1514-1525 ◽

Cited By ~ 3

Author(s):

Jen-wei Kuo ◽

Jonathan Mamou ◽

Yao Wang ◽

Emi Saegusa-Beecroft ◽

Junji Machi ◽

...

Keyword(s):

Lymph Nodes ◽

Intensity Distribution ◽

High Frequency ◽

Energy Functional ◽

Graph Cut ◽

Ultrasound Images ◽

High Frequency Ultrasound ◽

Local Intensity ◽

Frequency Ultrasound

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Do High Frequency Ultrasound Images Support Clinical Skin Assessment?

ISRN Nursing ◽

10.1155/2013/314248 ◽

2013 ◽

Vol 2013 ◽

pp. 1-5 ◽

Cited By ~ 1

Author(s):

Alison P. Porter-Armstrong ◽

Catherine Adams ◽

Anne S. Moorhead ◽

Jeannie Donnelly ◽

Jane Nixon ◽

...

Keyword(s):

Ultrasound Imaging ◽

Tissue Damage ◽

High Frequency ◽

Subcutaneous Tissue ◽

Potential Method ◽

Ultrasound Images ◽

High Frequency Ultrasound ◽

Patients At Risk ◽

Qualitative Classification ◽

Frequency Ultrasound

High frequency ultrasound imaging has been reported as a potential method of identifying the suspected tissue damage in patients “at risk” of pressure ulceration. The aim of this study was to explore whether ultrasound images supported the clinical skin assessment in an inpatient population through identification of subcutaneous tissue damage. Skin on the heels and/or sacral coccygeal area of fifty vascular surgery inpatients was assessed clinically by tissue viability nurses and with ultrasound pre operatively and at least every other day until discharge. Images were compared to routine clinical skin assessment outcomes. Qualitative classification of ultrasound images did not match outcomes yielded through the clinical skin assessment. Images corresponding to 16 participants were classified as subgroup 3 damage at the heels (equivalent to grade 2 pressure ulceration); clinical skin assessment rated no heels as greater than grade 1a (blanching erythema). Conversely, all images captured of the sacral coccygeal area were classified as normal; the clinical skin assessment rated two participants as grade 1b (non-blanching erythema). Ultrasound imaging is a potentially useful adjunct to the clinical skin assessment in providing information about the underlying tissue. However, further longitudinal clinical assessment is required to characterise images against actual and “staged” pressure ulceration.

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