Abstract: A relationship is established between points or regions in images of objects deformed in different ways, for example images of the human chest in a mammography and 3D ultrasound process. While a plurality of recording parameters which can be used for such an automatic image registration are often known in X-ray and other imaging methods, precise recording parameters, in particular for the position of the chest, are usually not available in ultrasound processes. The object is to additionally detect the position, in particular the tilt, of the chest and the ultrasound transducer in a chest ultrasound. A linking of multiple ultrasound recordings to one another or a comparably more precise automatic image registration using other modalities can then be carried out using the position of the ultrasound transducer relative to the chest. The position is detected in a manner that is specific to the case.

Abstract: A relationship is established between points or regions in images of objects deformed in different ways, for example images of the human chest in a mammography and 3D ultrasound process. While a plurality of recording parameters which can be used for such an automatic image registration are often known in X-ray and other imaging methods, precise recording parameters, in particular for the position of the chest, are usually not available in ultrasound processes. The object is to additionally detect the position, in particular the tilt, of the chest and the ultrasound transducer in a chest ultrasound. A linking of multiple ultrasound recordings to one another or a comparably more precise automatic image registration using other modalities can then be carried out using the position of the ultrasound transducer relative to the chest. The position is detected in a manner that is specific to the case.

Abstract: A method for on-the-fly segmentations for image deformations, includes: selecting an object in an image that is displayed on a computer screen; immediately after selecting the object, automatically segmenting the object to find a boundary of the object and marking an area inside the boundary undeformable and an area outside the boundary deformable; and dragging the object to a desired location in the image while the area inside the boundary remains stiff and the area outside the boundary deforms.

Abstract: A method for deforming an image using a physical model includes inputting the image, discrediting the image into a grid, applying forces to the grid upon receiving an input command for dragging the grid, updating a mesh deformation of the grid according to the forces, and wrapping the image according to a deformed mesh to produce a deformed image, wherein a wrapped image is displayed on an display device.

Abstract: A method for assigning stiffness values to voxels of an inputted discretized image includes assigning stiffness values according to intensity values of voxels of the image, wherein the inputted discretized image comprises the intensity values and refining the stiffness values assigned to voxels using a segmentation.

Abstract: A method for deforming an image using a physical model includes inputting the image, discretizing the image into a grid, applying forces to the grid upon receiving an input command for dragging the grid, updating a mesh deformation of the grid according to the forces, and wrapping the image according to a deformed mesh to produce a deformed image, wherein a wrapped image is displayed on an display device.

Abstract: A method for on-the-fly segmentations for image deformations, includes: selecting an object in an image that is displayed on a computer screen; immediately after selecting the object, automatically segmenting the object to find a boundary of the object and marking an area inside the boundary undeformable and an area outside the boundary deformable; and dragging the object to a desired location in the image while the area inside the boundary remains stiff and the area outside the boundary deforms.