Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

Siemens Healthineers Ag

Stefan Grosskopf

Michael Scheuering

Michael Suehling

Grzegorz Soza

Daniel Ruzicka

Ute Feuerlein

Lutz Gündel

Michael Sühling

Jing Lu

Helmut Ringl

Carlos Leber

Christian Petry

Hannes Martinke

Jan Egger

Bernd Freisleben

A method is for image data processing. In an embodiment, the method includes providing a 3D medical image data record, which relates to an elongated anatomical structure, a center line of the elongated anatomical structure being defined in the 3D medical image data record; defining at least one curved slice in the 3D medical image data record, the at least one curved slice winding around the center line; scanning at least one part of the 3D medical image data record into the at least one curved slice; and unrolling the at least one curved slice, into which the at least one part of the 3D medical image data record was scanned, at least one unrolled flat slice being determined. An image data processing unit is also for image data processing and a medical imaging apparatus includes the image data processing unit.

Method for image data processing

A method for defining scanning parameters of a CT scan of a region of interest of an examination object (O) using a CT system is described. In an embodiment of the method, external image capture of external features of the examination object is carried out using an additional image capture unit. In addition, at least one scanning parameter in the axial direction of the CT system is determined on the basis of the external image capture. Finally, a CT scan is performed using the at least one scanning parameter determined. A CT scan range defining device is additionally described. A computed tomography system is also described.

Defining scanning parameters of a CT scan using external image capture

In a method and apparatus to automatically generate a selected image data set from an entirety of medical measurement data of an examination subject, the entirety of the measurement data of the examination subject is received as input data, and at least a portion of the measurement data is automatically analyzed with regard to a number of specific, topologically representative content feature parameter values of the examination subject selected measurement data from the entirety is made, with the selected data associated with defined, specific, topologically representative content feature parameter values. The selected measurement data are assembled into a selected image data set, as output data.

Method and apparatus to automatically implement a selection procedure on image data to generate a selected image data set

A method and CT system are disclosed for recording and distributing whole-body CT data of a polytraumatized patient. In at least one embodiment the method includes producing a whole-body topogram including division and assignment of z-coordinate regions of the whole-body topogram to different body regions; performing a whole-body CT scan with the recording of CT raw data; assigning the CT raw data to the different body regions; reconstructing CT image datasets on a computer of the CT system; and sending only body region-specific CT image datasets to a number of remote workstations operated by technical specialists.

Method and CT system for recording and distributing whole-body CT data of a polytraumatized patient

A method is disclosed for determining a 2D contour of a vessel structure imaged in 3D image data for a first slice plane of the vessel structure, wherein the 3D image data was generated using a medical imaging system and has a multiplicity of image voxels which are all assigned a respective image value. In at least one embodiment, the method includes providing 3D image data; determining a multiplicity of first initial 2D contours of the vessel structure, wherein the first initial 2D contours in the 3D image data are determined for slice planes of the vessel structure, which planes are arranged orthogonally in respect of a central line of the vessel structure and spaced apart from one another along the central line; determining a first initial 3D contour from the first initial 2D contours; determining a smoothed second 3D contour by applying an active 3D contour model to the first initial 3D contour; determining a second initial 2D contour as a slice through the smoothed second 3D contour including the first slice plane; and determining the 2D contour by iteratively fitting the second initial 2D contour to that vessel structure imaged in the 3D image data which results for the first slice plane.

Method for determining a 2D contour of a vessel structure imaged in 3D image data

A method is described for structurally individualized simulation of the introduction of a wall support element into a section of a tubular structure. To this end, image data of the interior of the section of the tubular structure are provided. A start point and an end point of the section of the tubular structure are then determined, and a lumen and a profile line of the tubular structure are determined between the start point and the end point. Furthermore, an individual elastic structure model for the section of the tubular structure is identified by adapting a tubular elastic initial model to the section of the tubular structure on the basis of the identified lumen and the profile line, and a tubular elastic wall support element model which is positioned inside the individual structure model is provided. In at least one embodiment, the wall support element model is then virtually expanded stepwise, a check for collisions between the wall support element model and the individual structure model being carried out in each expansion step. At the positions where a collision is identified, the wall support element model and the individual structure model are modified at least locally while taking into account the elasticity of the individual structure model. A method for driving an image display device, by using such a simulation method, and a simulation device are furthermore described.

Method and simulation device for structurally individualized simulation of the introduction of a wall support element into a section of a tubular structure

A method is disclosed for automatically determining the rectum distance in a patient's colon, the path in the colon between a selected site, preferably a lesion, and the rectum being determined by processing 3D image data records. At least two 3 image data records are recorded with the patient being differently positioned. Further, the path between the rectum and selected site is determined from the common perusal of the at least two 3D image data records.

Growing community of inventors

Nürnberg, Germany

Stefan Grosskopf