International Business Machines Corporation

Sivan Gleichman

Eugene Walach

Mattias Marder

Amir Geva

Method, system, and computer program product are provided for processing an ultrasound image, in particular an image of inhomogeneous tissue. The method includes: segmenting tissue in a received ultrasound image; creating a mask of pixels centred on a pixel in a tissue area, wherein the pixels in the mask are within a given decibel range of the central pixel and within a segmentation boundary; and assigning an attenuation to the central pixel by estimating the attenuation of the pixels in the mask. The received ultrasound image may be a raw image the method may include creating an image of an attenuation mapping of attenuations for each pixel in a tissue area. Alternatively, the received ultrasound image may be a time gain compensated image the method may include determining areas of relatively high or low attenuation.

Ultrasound image processing

A method, including automatically identifying, by a processor, a region of a digital image containing first pixels, each situated on a positive horizontal gradient, and second pixels in proximity to the first pixels, each situated on a negative horizontal gradient. A distribution of intensities of a color channel is then calculated for the pixels in the region, and the distribution is analyzed in order to detect whether the region contains anti-aliased text.

Detecting anti-aliased text in digital images

A computerized method of classifying at least one suspicious region of interest (ROI) in an ultrasonic attenuation image mapping tissue of a patient. The method comprises receiving an US image of an tissue, identifying a suspicious region of interest (ROI) in the US image, generating an attenuation map of the suspicious ROI, measuring, according to an analysis of the attenuation map, at least one attenuation feature of at least one of the suspicious ROI and at least one sub region in the suspicious ROI, and classifying the suspicious ROI according to the at least one attenuation feature.

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Haifa, Israel

Sivan Gleichman