Abstract: A system and method for quantifying clinical skill of a user, comprising: collecting data relating to a surgical task done by a user using a surgical device; comparing the data for the surgical task to other data for another similar surgical task; quantifying the clinical skill of the user based on the comparing of the data for the surgical task to the other data for the other similar surgical task; outputting the clinical skill of the user.

Abstract: An observation system for viewing light-sensitive tissue includes an illumination system configured to illuminate the light-sensitive tissue, an imaging system configured to image at least a portion of the light-sensitive tissue upon being illuminated by the illumination system, and an image display system in communication with the imaging system to display an image of the portion of the light-sensitive tissue.

Abstract: A method for constructing one or more 3D scene models comprising 3D objects and representing a scene, based upon a prior 3D scene model and a model of scene changes, is described. The method comprises the steps of acquiring an image of the scene; initializing the computed 3D scene model to the prior 3D scene model; and modifying the computed 3D scene model to be consistent with the image, possibly constructing and modifying alternative 3D scene models. In some embodiments, a single 3D scene model is chosen and is the result; in other embodiments, the result is a set of 3D scene models. In some embodiments, a set of possible prior scene models is considered.

Abstract: A system and method for recognizing instances of classes in a 2D image using 3D class models and for recognizing instances of objects in a 2D image using 3D class models. The invention provides a system and method for constructing a database of 3D class models comprising a collection of class parts, where each class part includes part appearance and part geometry. The invention also provides a system and method for matching portions of a 2D image to a 3D class model. The method comprises identifying image features in the 2D image; computing an aligning transformation between the class model and the image; and comparing, under the aligning transformation, class parts of the class model with the image features. The comparison uses both the part appearance and the part geometry.

Abstract: Disclosed is a system and method for intra-operatively spatially calibrating an ultrasound probe. The method includes determining the relative changes in ultrasound images of a phantom, or high-contrast feature points within a target volume, for three different ultrasound positions. Spatially calibrating the ultrasound probe includes measuring the change in position and orientation of the probe and computing a calibration matrix based on the measured changes in probe position and orientation and the estimated changes in position and orientation of the phantom.

Abstract: A system and method for constructing a 3D scene model comprising 3D objects and representing a scene, based upon a prior 3D scene model. The method comprises the steps of acquiring an image of the scene; initializing the computed 3D scene model to the prior 3D scene model; and modifying the computed 3D scene model to be consistent with the image. The step of modifying the computed 3D scene models consists of the sub-steps of comparing data of the image with objects of the 3D scene model, resulting in associated data and unassociated data; using the unassociated data to compute new objects that are not in the 3D scene model and adding the new objects to the 3D scene model; and using the associated data to detect objects in the prior 3D scene model that are absent and removing the absent objects from the 3D scene model. The present invention may also be used to construct multiple alternative 3D scene models.

Abstract: Disclosed is a system and method for computing ultrasound 3D elasticity images. The method includes acquiring ultrasound RF data in a rest state, in which substantially no pressure is applied to a tissue medium, and acquiring ultrasound data in a stressed state, in which pressure is applied to a tissue medium having an aberration, and computing a measured displacement image from the two RF data sets. The method also includes computing an initial estimated displacement image, which is derived from a 3D elasticity model. The method further includes computing an optimization loop, wherein the initial estimated displacement image is adjusted to converge on the measured displacement image. The optimized estimated displacement image is then segmented and superimposed over the rest state ultrasound image. Further, the original 3D elasticity model is adjusted to match the optimized estimated displacement image.

Abstract: Disclosed is a system and method for intra-operatively spatially calibrating an ultrasound probe. The method includes determining the relative changes in ultrasound images of a phantom, or high-contrast feature points within a target volume, for three different ultrasound positions. Spatially calibrating the ultrasound probe includes measuring the change in position and orientation of the probe and computing a calibration matrix based on the measured changes in probe position and orientation and the estimated changes in position and orientation of the phantom.

Abstract: A system and method for acquiring three-dimensional (3-D) images of a scene. The system includes a projection device for projecting a locally unique pattern (LUP) onto a scene, and sensors for imaging the scene containing the LUP at two or more viewpoints. A computing device matches corresponding pixels in the images by using the local uniqueness of the pattern to produce a disparity map. A range map can then be generated by triangulating points in the imaged scene.

Abstract: A system and method for acquiring three-dimensional (3-D) images of a scene. The system includes a projection device for projecting a locally unique pattern (LUP) onto a scene, and sensors for imaging the scene containing the LUP at two or more viewpoints. A computing device matches corresponding pixels in the images by using the local uniqueness of the pattern to produce a disparity map. A range map can then be generated by triangulating points in the imaged scene.