57 results about "2d ultrasound" patented technology

A LUS robotic surgical system is trainable by a surgeon to automatically move a LUS probe in a desired fashion upon command so that the surgeon does not have to do so manually during a minimally invasive surgical procedure. A sequence of 2D ultrasound image slices captured by the LUS probe according to stored instructions are processable into a 3D ultrasound computer model of an anatomic structure, which may be displayed as a 3D or 2D overlay to a camera view or in a PIP as selected by the surgeon or programmed to assist the surgeon in inspecting an anatomic structure for abnormalities. Virtual fixtures are definable so as to assist the surgeon in accurately guiding a tool to a target on the displayed ultrasound image.

A LUS robotic surgical system is trainable by a surgeon to automatically move a LUS probe in a desired fashion upon command so that the surgeon does not have to do so manually during a minimally invasive surgical procedure. A sequence of 2D ultrasound image slices captured by the LUS probe according to stored instructions are processable into a 3D ultrasound computer model of an anatomic structure, which may be displayed as a 3D or 2D overlay to a camera view or in a PIP as selected by the surgeon or programmed to assist the surgeon in inspecting an anatomic structure for abnormalities. Virtual fixtures are definable so as to assist the surgeon in accurately guiding a tool to a target on the displayed ultrasound image.

A LUS robotic surgical system is trainable by a surgeon to automatically move a LUS probe in a desired fashion upon command so that the surgeon does not have to do so manually during a minimally invasive surgical procedure. A sequence of 2D ultrasound image slices captured by the LUS probe according to stored instructions are processable into a 3D ultrasound computer model of an anatomic structure, which may be displayed as a 3D or 2D overlay to a camera view or in a PIP as selected by the surgeon or programmed to assist the surgeon in inspecting an anatomic structure for abnormalities. Virtual fixtures are definable so as to assist the surgeon in accurately guiding a tool to a target on the displayed ultrasound image.

The present invention relates to a 3D ultrasound diagnostic forming a 3D ultrasound image only with volume data exiting within contour by automatically detecting the contour of a target object, comprising: a first unit for generating a region of interest (ROI) box on a 2D ultrasound image; a second unit for detecting a contour of a target object in the ROI box; and a third unit for forming a 3D ultrasound image by rendering volume data existing in the detected contour.

Characterization of carotid atherosclerosis and classification of plaque into symptomatic or asymptomatic and risk score estimation are of clinical value. A statistical system is described for symptomatic versus asymptomatic plaque automated classification of carotid ultrasound images and cardiovascular risk score computation. The technique is applicable for the following types of modalities for carotids: 2D Ultrasound, 3D Ultrasound, CT, MR. Wall region is segmented and features are extracted consisting of type 1 combination consisting of: (a) Higher Order Spectra; (b) Discrete Wavelet Transform (DWT); (c) Texture and (d) Wall Variability; type 2 combination consisting of: (a) Local Binary Pattern; (b) Law's Mask Energy and (c) Wall Variability and type 3 combination: (a) Trace Transform; (b) Fuzzy Grayscale Level Co-occurrence Matrix and (c) Wall Variability. These features are trained using a training classifier on training images and the coefficients are applied to on-line test patient images. The system yields the cardiovascular risk score value using the feature combinations.

The present invention relates a method and an apparatus for enhancing ultrasound image quality through a post-processing. A method for enhancing an image quality of a two-dimensional (2D) ultrasound image, comprises the steps of: a) decomposing the 2D ultrasound image into a plurality of images having a multi-resolution by N levels, wherein N is a positive integer; b) determining characteristics of each pixel in the decomposed image; c) performing an enhancement process for the decomposed image based on the pixel characteristics; d) performing 1st-level composition for the decomposed image; and e) repeatedly performing steps b) to d) until a size of the composed image is identical to that of the 2D ultrasound image.