Ultrasound image Uniformity Assessment by Means of Sparse Matrices: Algorithm Implementation and First Results

L. Schinaia, A. Scorz, F. Orsini, S. A. Sciuto

Abstract

The current study is focused on an image segmentation algorithm for Uniformity Quality assessment in Diagnostic Ultrasounds.In particular a mathematical definition of the uniformity in ultrasound images is introducedand a split and merge algorithm performed on sparse matricesto measure uniformity is described. The algorithm is based on the Gray-Level Co-occurrence Matrices and the relativedescriptors,i.e. the Haralick features Entropy, Energy, Maximal CorrelationCoefficientand InformationMeasures of Correlation.Results on2 differentdatasetsof test images with different nonuniformities have been carried on. Several outcomesshow a goodsensitivity and agreement with the mean judgment by 7 human observers, i.e. differences are below 40% in most of the cases.On the basis of previousstudies, the latest developments and results are proposed and commented.

Keywords

Uniformity measurement, ultrasound, speckle, Gray Level Co-occurrence Matrix, Haralick features

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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