William Hou

Bio: William Hou is an academic researcher from Philips. The author has contributed to research in topics: Non-local means & Random walker algorithm. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

Image compounding based on image information

Abstract: An image compounding apparatus acquires, via ultrasound, pixel-based images (126-130) of a region of interest for, by compounding, forming a composite image of the region. The image includes composite pixels (191) that spatially correspond respectively to pixels of the images. Further included is a pixel processor for beamforming with respect to a pixel from among the pixels, and for assessing, with respect to the composite pixel and from the data acquired (146), amounts of local information content of respective ones of the images. The processor determines, based on the assessment, weights for respective application, in the forming, to the pixels, of the images, that spatially correspond to the composite pixel. In some embodiments, the assessing commences operating on the data no later than upon the beamforming. In some embodiments, brightness values are assigned to the spatially corresponding pixels; and, in spatial correspondence, the maximum and the mean values are determined. They are then utilized in weighting the compounding.

Methods and system for compound ultrasound image generation

Abstract: The invention provides a method for generating a compound ultrasound image. The method includes acquiring and beamforming channel data. Using the beamformed channel data a plurality of images, each image comprising a plurality of pixels, of a region of interest are obtained and an image information metric, wherein the image metric is associated with a pixel of the plurality of pixels, is assessed. The acquiring of the plurality of images and the assessment of the image metric are performed in parallel. For each image of the plurality of images: a per-pixel weighting for each pixel of the plurality of pixels based on the assessment of the image information metric is determined and applied to each pixel of the plurality of pixels. Finally a compound ultrasound image is generated based on the plurality of weighted pixels of the plurality of images.

Ultrasonic CT imaging method based on space coherence

Abstract: The invention discloses an ultrasonic CT imaging method based on space coherence. The method includes the following steps of firstly, collecting data to obtain original echo data; secondly, preprocessing the data; thirdly, meshing an imaging area; fourthly, conducting DMAS calculation treatment based on the space coherence for each meshed imaging point to obtain initial imaging signals of the meshed imaging points; fifthly, conducting data postprocessing to finally obtain an ultrasonic CT image. On the basis of the formation characteristics of virtual receiving signals in a filtering delay multiplication and superposition algorithm, by calculating the space coherence of any two signals of the virtual receiving signals in the filtering delay multiplication and superposition algorithm and weighting the virtual received signals, compared with the prior art, the problems of a zero-phase filtering delay multiplication and superposition algorithm applied in the ultrasonic CT reflection imaging field can be effectively solved, and a high-contrast high-noise-ratio and low-sidelobe-level ultrasonic CT image can be reestablished.