Siemens Healthcare Gmbh

Siemens Schweiz Ag

Ruth J Soenius

Puneet Sharma

Dominik Neumann

Ulrich Hartung

Daphne Yu

Klaus Engel

Kaloian Petkov

Stefan Assmann

Chris Schwemmer

Armin Reichlin

Gallus Fritsche

A method of generating a first image from a medical text report comprises acquiring a medical text report comprising one or more natural language statements; analysing the medical text report, using a computer-implemented analysis process, to determine for each natural language statement whether the statement satisfies a predetermined criterion with respect to a first medical finding; and responsive to a determination that a said statement satisfies the predetermined criterion, adding an image representing the first medical finding to an image template, to generate the first image. Also disclosed is an apparatus and computer program.

Image generation from a medical text report

An embodiment of a method includes providing a first result list indicating a plurality of first anatomic structures and indicating, for each respective first anatomic structure of the plurality of first anatomic structures, a corresponding first severity indicator; providing a second result list indicating, for each respective second anatomic structure of the plurality of the second anatomic structures, a corresponding second severity indicator; providing a relationship matrix indicating a level of interrelatedness between the first anatomic structures and the second anatomic structures; and generating, based on the first result list provided, on the second result list and on the relationship matrix provided, a concordance visualization indicating a respective level of concordance between at least one of the first anatomic structures and the corresponding first severity indicator, and indicating a respective level of concordance between at least one of the second anatomic structures and the corresponding second severity indicator.

Automatically generating synchronized view and level of concordance of diagnostic exams

An embodiment suggests a method for visualizing an image data set, in particular a medical image data set, wherein the visualized data set displays a three dimensional arrangement having at least a first object and a second object. The method includes assigning a first set of parameter to the first object; assigning a second set of parameters to the second object; dividing the medical image data set into a first sub-region and a second sub-region; and providing a visualisation of the three dimensional arrangement by a volume rendering method, in particular by a ray-casting method or a photorealistic volumetric path tracing, the first set of parameter being applied to the first sub-region for visualizing the first object and the second set of parameter being applied to the second sub-region for visualizing the second object.

In-context photorealistic 3D visualization for surgical decision support

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New York, NY, United States of America

Ruth J Soenius