Koninklijke Philips Corporation N.v.

Universitatsklinikum Hamburg-Eppendorf

Technische Universitat Hamburg

Technische Universitat Hamburg-Harburg

First Sensor Microelectronic Packaging Gmbh

Jan-Hendrik Buhk

Thomas Buelow

Wolfgang Krautschneider

Stewart Young

Tim Philipp Harder

Dieter Krause

Tanja Nordhoff

Jens Fiehler

Johanna Spallek

Andreas Frölich

Juliane Vogt

Gerhard Adam

Dietmar SCHRÖDER

Gregor Woldt

Clemens Spink

Andreas Koops

Markus Braunschweig

Rajeev Ranjan

John Bibin

Medical training model having at least one blood vessel model () which in at least one practice region can be connected to an anatomically replicated substitute blood circulation system () and in which a real instrument () is used, further having an image recording device () for creating measured images of the at least one blood vessel model (), and having an image processing device () which converts the recorded measured images into an imaging blood vessel representation and makes same displayable on a screen (), wherein the image recording device () is designed as a photo-optical system () which records transmitted-light images () as measured images of the at least one blood vessel model () for simulation of medical activity, for which purpose the at least one blood vessel model () is replicated in a transparently produced solid-body block () for a contrast between transparent solid-body block () and non-transparent instrument ().

Medical training model having at least one blood vessel model

The present invention relates to a device and method for quality assessment of medical image datasets. To enable an automatic quality assessment of medical image datasets to identify potential errors or deviations that may be avoided in future imaging operations, the device comprises an image input () for obtaining medical image datasets together with respective acquisition information, each medical image dataset being acquired by scanning a field of view, FOV, of an examination object and the respective acquisition information representing information related to the acquisition of the respective medical image dataset; an image analysis unit () for comparing the FOV of an obtained medical image dataset with a reference FOV and for determining difference information indicating deviations of the FOV from the reference FOV; a correlation unit () for determining correlation information indicating correlations between the difference information determined for a plurality of obtained medical image datasets and the respective acquisition information; and an output unit () for issuing the determined correlation information.

Device and method for quality assessment of medical image datasets

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Hamburg, Germany

Jan-Hendrik Buhk