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Ultrasound characterization by stable statistical patterns.

Y T Wun·R Chung
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Abstract

It is shown that automated characterization of ultrasound images can be achieved effectively if the images are confined to single internal organs. The ultrasound image of a particular organ gives statistical textures of its structures, which are consistent with stable patterns. Analysis of these patterns leads to the construction, from a few statistical parameters, of a fast and effective algorithm to characterize these ultrasound images. A small training set is adequate. A similar approach may be used to detect tumour sites from liver ultrasonograms. The algorithms are implemented on an IBM-compatible personal computer for future incorporation into existing ultrasound machines.

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AlgorithmsHumansImage Processing, Computer-AssistedLiverLiver NeoplasmsUltrasonographyJournal Article

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BibTeXRIS

Y T Wun, R Chung. 1998. Ultrasound characterization by stable statistical patterns.. https://doi.org/10.1016/s0169-2607(97)00062-x

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