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Aspects of the statistical texture analysis of medical ultrasound images

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2 Author(s)
Chan, K.L. ; Univ. Hospital of Wales, Cardiff, UK ; McCarty, K.

Although atherosclerotic plaques can be classified into categories characterized by their textures, to visually identify a specific tissue is not an easy task. Statistical texture analysis has therefore been applied. Ten types of statistics are considered: gray level run length; spatial gray level co-occurrence matrices; maximum minimum; Fourier power spectrum; gray level difference; sum and difference histograms; laws texture features; local standard deviation of intensity; organizational approach; and Walsh transform. The effectiveness of these statistics in tissue characterisation is addressed considering polar coordinates calculation as rectilinear coordinates calculation, and taking into account the variation of statistical parameters

Published in:

Ultrasound Instrumentation, IEE Colloquium on

Date of Conference:

10 May 1990