General Electric Company

Fredrik Orderud

Hans Garmann Torp

Stein Inge Rabben

Olivier Gerard

Lasse Lovstakken

Vidar Lundberg

An ultrasound imaging system and method include acquiring first ultrasound data, the first ultrasound data comprising data of a first plane through a structure of interest. The ultrasound imaging system and method include tracking the motion of a landmark based on the first ultrasound data. The ultrasound imaging system and method acquiring second ultrasound data, the second ultrasound data including data of a second plane through the structure of interest, the second plane being distinct from the first plane, where the position of the second plane is adjusted to track the motion of the landmark. The ultrasound imaging system and method also includes generating an image based on the second ultrasound data.

Method and apparatus for motion-compensated ultrasound imaging

A method is provided for automatically identifying image views in a three-dimensional dataset comprises accessing with a processor a three-dimensional dataset comprising a plurality of image frames and fitting with the processor at least one deformable model to at least one structure within each of the image frames. The method further comprises identifying with the processor at least one feature point within each of the image frames based on the at least one deformable model and displaying on a display at least one image view based on the at least one feature point.

Method and apparatus for automatically identifying image views in a 3D dataset

A method and system for determining contact along a surface of an ultrasound probe are provided. The method includes frequency analyzing ultrasound signals received by the ultrasound probe and displaying indicators of acoustic contact of the ultrasound probe with an object based on the frequency analysis.

Method and system for determining contact along a surface of an ultrasound probe

A method for tracking motion and shape changes of a deformable model in a volumetric image sequence. The method is operable to predict the surface of a space from a 3D image, such as cardiac structures from a 3D ultrasound. The shape and position of a deformable model is predicted for each frame of an ultrasound image. Edge detection is then performed for each predicted point on the deformable model perpendicular to the model surface. The distances between the predicted and measured edges for the deformable model are measurements for a Kalman filter. The measurements are coupled with noise values that specify the spatial uncertainty of the edge detection. The measurement data are subsequently summed together in information space and combined with the prediction in the Kalman filter to estimate the position and deformation for the deformable model. The deformable model is then updated to generate an updated surface model.

Growing community of inventors

Trondheim, Norway

Fredrik Orderud