Siemens Healthineers Ag

Siemens Healthcare Gmbh

Felix Lades

Michael Suehling

Michael Wels

Chris Schwemmer

Max Schoebinger

Christian Hopfgartner

Mehmet Akif Gulsun

Alexander Muehlberg

Michael Sühling

Alexander Katzmann

Oliver Taubmann

Serkan Cimen

Felix Durlak

Rainer Kaergel

Ashish Jaiswal

Rumman Khan

Suha Ayman

Felix Denzinger

Alexander Mühlberg

At least one example embodiment provides a computer-implemented method for evaluating at least one image data set of an imaging region of a patient, wherein at least one evaluation information describing at least one medical condition in an anatomical structure of the imaging region is determined.

Computer-implemented methods and evaluation systems for evaluating at least one image data set of an imaging region of a patient, computer programs and electronically readable storage mediums

A computer-implemented method and system are for parametrizing a function including a processing algorithm and a representation generator, the representation generator being designed to generate at least one representation. In an embodiment, the method includes using an optimization algorithm to determine the processing algorithm and the at least one representation parametrization. The optimization algorithm optimizes a measure for the performance of the processing algorithm when operating on a set of training representations generated by applying the representation generator to training medical image datasets, by varying on the one hand the content of the at least one representation parametrization and/or the number of used representation parametrizations and on the other hand the processing algorithm and the algorithm parameters.

Computer-implemented method for parametrizing a function for evaluating a medical image dataset

A computer-implemented method is for providing radiomics-related information. In an embodiment, the computer-implemented method includes receiving radiomics-related data; determining, based on the radiomics-related data and an assistance algorithm, a function for processing the radiomics-related data; calculating, based on the radiomics-related data and the function for processing the radiomics-related data, the radiomics-related information; and providing the radiomics-related information.

Method and data processing system for providing explanatory radiomics-related information

A computer-implemented method is for providing a two-dimensional unfolded image of at least one tubular structure. In an embodiment, the method includes receiving three-dimensional image data of an examination region including the at least one tubular structure; selecting a set of input points in the three-dimensional image data; determining a projection surface with respect to the three-dimensional image data; calculating a set of surface points of the projection surface; calculating a deformed projection surface by applying a deformation algorithm onto the projection surface; calculating a set of voxel positions with respect to the three-dimensional image data based on the deformed projection surface; and calculating the two-dimensional unfolded image of the at least one tubular structure based on the three-dimensional image data and the set of voxel positions.

Method and data processing system for providing a two-dimensional unfolded image of at least one tubular structure

A method for interactively generating a geometric model of a volume object on the basis of three-dimensional image data of an examination region of interest of an examination subject is described. According to an embodiment, a representation of the volume object is determined on the basis of three-dimensional image data and a two-dimensional representation is determined on the basis of the determined representation using a preferably non-linear planar reformation of the three-dimensional object. Subsequently, boundary indicators which define the surface profile of the volume object are edited in the two-dimensional representation. Following the editing, a three-dimensional representation of the edited boundary indicators is generated by back-transforming the edited boundary indicators into three-dimensional space. Finally, a model-based representation of the volume object is generated in three-dimensional space on the basis of the edited boundary indicators. A volume object modeling device is also described. In addition, a medical imaging device is described.

Model-based generation and representation of three-dimensional objects

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Erlangen, Germany

Felix Lades