Koninklijke Philips Corporation N.v.

Eike Caspar Cornelius Nagel

Amedeo Chiribiri

Guillaume Leopold Theodorus Frederik Hautvast

Tobias Richard Schaeffter

Tobias Ratko Voigt

Andrea Jane Wiethoff

Valentina Otja Puntmann

Sven Plein

Gilion Leopold Theodorus Frederik Hautvast

A method for differentiation of normal myocardium from diffuse disease using T mapping includes acquiring one or more images of a patient by an imaging apparatus, generating a T1 map from the one or more images, defining a region of interest within the one or more images, determining the average T1 value within the region of interest, comparing the average T1 value within the region of interest to a cut-off T1 value, and determining a diagnosis of the region of interest from the comparison.

System and method for differentiation of normal myocardium from diffuse disease using T1 mapping in non-ischemic cardiomyopathies and others

A system for generating a processed image dataset is disclosed. The system comprises a plurality of parameter datasets (), wherein a parameter dataset () corresponds to a clinically categorized population and represents a transfer function. The system further comprises a selector () for selecting a parameter dataset () from the plurality of parameter datasets (). The system further comprises an image processing subsystem () for applying the transfer function represented by the selected parameter dataset () to at least part of an image dataset () specific for a patient, to obtain a processed image dataset (). The selector () comprises a user interface element () for enabling a user to select the parameter dataset () from the plurality of parameter datasets (). A parameter dataset () is based on a statistical distribution of a population characteristic.

Processing an image dataset based on clinically categorized populations

A system () for analyzing a sequence of datasets representing sequential images of an object, a dataset associating data values with positions, the images having an image region having a first border () and a second border () associated with the object, the system comprising a ray establishing means () for establishing for individual images an analysis ray () connecting the first and second border of the image region, the analysis rays being in a respective position representing a substantially same position with respect to the object, a gradient establishing means () for establishing, for individual analysis rays, a gradient value which is representative of a rate of change in the data values across the image region and along the analysis ray from the first border to the second border. The system is well suited to locate perfusion deficits in the myocardium through the identification of transmural gradients.

Transmural perfusion gradient image analysis

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Eindhoven, Netherlands

Eike Caspar Cornelius Nagel