Koninklijke Philips Corporation N.v.

Other

Koninklijke Philips Electronics N.v.

Philips Intellectual Property & Standards Gmbh

Olivier Ecabert

Juergen Weese

Jochen Peters

Jens Von Berg

Christoph Herrmann

Joerg Bredno

Cristian Lorenz

Christian Lorenz

Carsten Meyer

Klaus Juergen Engel

Rainer Kiewitt

Norbert Conrads

Christian Baeumer

Helko Lehmann

Reinhard Kneser

Martin Weibrecht

Bernd Hofmann

Gundolf Kiefer

Peters Jochen

Steffen Gunther Hohmann

Hauke Schramm

A system for establishing a contour of a structure is disclosed. An initialization subsystem () is used for initializing an adaptive mesh representing an approximate contour of the structure, the structure being represented at least partly by a first image, and the structure being represented at least partly by a second image. A deforming subsystem () is used for deforming the adaptive mesh, based on feature information of the first image and feature information of the second image. The deforming subsystem comprises a force-establishing subsystem () for establishing a force acting on at least part of the adaptive mesh, in dependence on the feature information of the first image and the feature information of the second image. A transform-establishing subsystem () is used for establishing a coordinate transform reflecting a registration mismatch between the first image, the second image, and the adaptive mesh.

Establishing a contour of a structure based on image information

The invention relates to an adaptation system for adapting a deformable model comprising a plurality of model elements to an object of interest in an image data set, the adaptation system comprising a selector for selecting at least one image- driven model element from the plurality of model elements and an adapter for adapting the deformable model on the basis of optimizing a model energy of the deformable model, the model energy comprising an internal energy of the plurality of model elements and an external energy of the at least one image-driven model element, thereby adapting the deformable model. By enabling the adaptation system to selectively choose the image- driven model elements, the adaptation system of the current invention allows excluding a poorly adaptable model element from interacting with the image data set and thus from being pulled and/or pushed by the image data set into a wrong location.

Progressive model-based adaptation

Scattered radiation has non-intuitive properties. A signalling system () is presented which provides a perceptible signal () being indicative of a predicted or measured spatial distribution of scattered radiation. An embodiment provides for easy assessment of the individual risk of scattered radiation exposure for personnel working in an environment exposed to scattered radiation. A method for predicting a distribution of scattered radiation takes into account at least one object related parameter () and at least one radiation related parameter () and, in response hereto, predicts a distribution of scattered radiation.

Simulation and visualization of scattered radiation

A method allowing display of time-varying merged high resolution and low resolution image data with a smooth frame rate. In one embodiment the high resolution data is structural image data and the low resolution image data is functional image data. The functional image data is gathered () into groups and each group is rendered and merged () together. The merged images produced are then stored () in a First In First Out (FIFO) buffer for display. While the merged images are displayed the next set of functional image data is merged and rendered and supplied to the FIFO buffer, allowing a smooth frame rate to be achieved. A computer program and a medical imaging apparatus using the method are also disclosed.

Method for displaying high resolution image data together with time-varying low resolution image data

The invention relates to a method () of adapting a geometric model to an image data comprising determining a first partial transformation for mapping a first part of the geometric model into the image data and a second partial transformation for mapping a second part of the geometric model into the image data. By determining the first partial transformation of the first part of the geometric model and the second partial transformation of the second part of the geometric model, the geometric model can assume more shapes and therefore can be more accurately adapted to an object comprised in the image data.

Method of and a system for adapting a geometric model using multiple partial transformations

The invention relates to a system () for registering a vessel model with an image data set based on a joined model comprising a reference object model and the vessel model, the system comprising: a placement unit () for placing the joined model in a space of the image data set, thereby creating a placed joined model comprising a placed reference object model and a placed vessel model; a computation unit () for computing a deformation field based on a landmark displacement field comprising displacements of landmarks of the placed reference object model relative to corresponding landmarks in the image data set; a transformation unit () for transforming the placed joined model using the deformation field, thereby creating a transformed joined model comprising a transformed reference object model and a transformed vessel model; and a registration unit () for registering the transformed vessel model with the image data set based on modifying the transformed vessel model and optimizing an objective function of the modified transformed vessel model, wherein the objective function comprises a location-prior term based on a localization of the modified transformed vessel model relative to the transformed joined model. Hence, the system is arranged to model a vessel taking into account the localization of a vessel model relative to a reference anatomical structure described by a reference model.

Model-based coronary centerline localization

Method and system for facilitating post-processing of images using deformable meshes in which a deformable mesh model of an object such as an organ is extended by attaching information thereon in order to simplify and/or facilitate a desired post-processing task so that the post-processing task effected when the mesh is applied to the same object in an additional image can expeditiously use this information. The information may be attached to the mesh after its creation, for example, upon segmentation of the same object in some training image. The post-processing task can therefore be performed automatically without user interaction upon segmentation of the object in the additional image. Information is encoded on the mesh by enumerating a list of triangles or vertices of the mesh which have to be considered in the subsequent, post-processing task and by optionally providing additional parameters defining the precise post-processing algorithm(s) to be used.

Method for facilitating post-processing of images using deformable meshes

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Aachen, Germany

Olivier Ecabert