Siemens Aktiengesellschaft

Siemens Medical Solutions USA, Inc.

Marc Rose

Bert Boehler

Thomas Hildebrand

Axel Platz

Thomas Stingl

Carlos E Cardenas

Jean-Marie Clement

A control system, a method of operating the same, and a method for setting up the same are disclosed for simplified driving of a function unit parametrized by a plurality of input variables. The control system includes a setting unit and a control unit, the setting unit being used to set a number of prescribed control parameters and to feed them to the control unit. A value tuple that is fed to the function unit for the parametrization thereof is determined by the control unit as a function of the controlled variables in accordance with a stored interpolation function based on interpolation points. To set up the control system, it is provided to select a number of value tuples of the input variables as interpolation points from a parameter space defined by the input variables, and to determine the interpolation function in such a way that it defines a continuous subspace of the parameter space which has a dimensionality corresponding to the number of controlled variables and contains every interpolation point.

Driver for a function unit parametrized by a number of input variables

A method and an apparatus are for the loading and postprocessing of three-dimensional digital volume data, in particular from the medical field. Layer images are usually acquired by CT or MR devices and combined to form a volume data record. These combined data are fed to one or more postprocessing methods, such as e.g. the VRT, MIP and/or MPR technique. These postprocessing methods can already be used for a portion of the loaded data directly after the beginning of the loading operation.

Method and apparatus for the loading and postprocessing of digital three-dimensional data

A seed point is selected inside a structure that is to be segmented in image data. An adaptive model is defined around the seed point, and a preprocessing filter is applied only within the bounding region. A presegmentation of the preprocessed result is performed, and the bounding region is expanded if necessary to accommodate the presegmentation result. An adaptive model for post-processing may be used. The model is translated, rotated and scaled to find a best fit with the pre-segmented data.

Multidimensional segmentation based on adaptive bounding box and ellipsoid models

Graphic operating element of a user interface for a medical playback device

Growing community of inventors

Erlangen, Germany

Marc Rose