Abstract: A computer-implemented method for image registration includes accepting a three-dimensional (3-D) image of an organ. The image includes a first plurality of image points with respective image coordinates. A map defining a distribution of values of a physiological parameter over the organ is accepted. The map includes a second plurality of map points with respective map coordinates. Confidence levels are associated with one or more of the map coordinates and image coordinates. Weights are assigned to at least some of the map points and image points responsively to the confidence levels of the respective map coordinates and image coordinates. The 3-D image is fitted with the map by calculating a geometrical transformation between the map coordinates and the image coordinates based on the weights.

Abstract: Embodiments of the present invention improve edge detection in 2-dimensional image data that may be carried out automatically with minimal user involvement. The invention is carried automatically, using an image processing technique that results in generation of a segmented edge contour, which may then be used in 3-dimensional reconstruction and segmentation.

Abstract: A method for navigating a medical device to an anatomical surface within a subject to perform electro-anatomical mapping using a magnetic navigation system is provided that includes importing a pre-operative image data set of an anatomical surface in the subject's body into a localization system. One or more control parameters are applied to the magnetic navigation system to drive the medical device to one or more points of tissue contact, from the locations of which a geometric anatomical map can be created and registered with the pre-operative anatomical image. The pre-operative anatomical surface image and a representation of the geometric anatomical map are displayed relative to one another, such that a user may select a location on the displayed pre-operative anatomical image to navigate the medical device towards.

Abstract: A computer-implemented method for image registration includes accepting a three-dimensional (3-D) image of an organ. The image includes a first plurality of image points with respective image coordinates. A map defining a distribution of values of a physiological parameter over the organ is accepted. The map includes a second plurality of map points with respective map coordinates. Confidence levels are associated with one or more of the map coordinates and image coordinates. Weights are assigned to at least some of the map points and image points responsively to the confidence levels of the respective map coordinates and image coordinates. The 3-D image is fitted with the map by calculating a geometrical transformation between the map coordinates and the image coordinates based on the weights.