Siemens Aktiengesellschaft

Heinz-Peter Engels

Ute Feuerlein

Dieter Boeing

A method is disclosed for automatically classifying and graphically visualizing image objects that are segmented and, given undershooting of a prescribed distance and compliance with a similarity criterion, are combined to form clusters. In at least one embodiment, for object classification, the method includes preselecting result data, using a prescribable selection criterion, from a result set of an application, executed in the background on an image data record of an imaging system, for feature extraction and automatic pattern recognition of segmented and clustered image objects, and/or rendered image data of an image rendering application, executed in the background, for two-dimensional and/or three-dimensional graphic visualization of these image objects; and/or marking the data in a graphically visible fashion as preselected on a screen of a screen terminal.

Result filter and method for selecting the result data of an application for automatic pattern recognition

An imaging method and system allow duplicated repetition of a procedure to acquire image data from the interior of the body of a patient and to generate an image of the interior of the body of the patient with an initial imaging modality, that is operated using patient-specific examination parameters to implement a procedure to acquire the image data and generate the image. The patient-specific examination parameters are electronically stored, and are electronically retrieved to implement a duplicate of the aforementioned procedure in an imaging modality-assisted follow-up examination.

Image acquisition, archiving and rendering system and method for reproducing imaging modality examination parameters used in an initial examination for use in subsequent radiological imaging

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Munich, Germany

Heinz-Peter Engels