Koninklijke Philips Corporation N.v.

Philips Intellectual Property & Standards Gmbh

Marc Busch

Ralph Brinks

Gundolf Kiefer

Carsten Meyer

Helko Lehmann

Daniel Gagnon

Jürgen Weese

Alexander Fischer

An apparatus includes a diagnostic scanner () and a treatment planner (). The treatment planner () plans a treatment to be applied to an object. A treatment device () treats the object according to the treatment plan. A treatment scanner () scans the object during a treatment session. A motion modeler () uses information from the treatment scan to model a motion of the object. A motion compensated quantitative data generator () uses data from the diagnostic () or other scanner, as well as feature geometry () and feature motion () information, to generate motion compensated quantitative data indicative of a feature of the object.

Motion compensation in quantitative data analysis and therapy

A radiation detection apparatus () acquires projection data of an object that is subject to motion during the acquisition. The apparatus includes a motion modeler () and a motion compensator () that cooperate to compensate for a motion of the object during the acquisition. In one example, the projection data includes list mode positron emission tomography data and the apparatus compensates for cardiac motion.

Motion correction in nuclear imaging

An apparatus includes a scanner () and a scanning motion monitor (). A motion modeler () uses data from the scanning motion monitor () and the scanner () to generate a motion model which describes motion of a region of interest of an object. A treatment planner () uses image data from the scanner () to establish a treatment plan for the object. A treatment device, which operates in conjunction with a treatment motion monitor (), uses the motion model to compensate for motion of the object during application of the treatment.

Motion estimation in treatment planning

A method for locally correcting motion in an image reconstructed by a reconstruction system () of an imaging system () with raw data includes estimating a characteristic feature of a region of interest within the reconstructed image from the raw data, correcting the raw data associated with the region of interest for motion with the estimated region characteristic feature, and reconstructing a motion-corrected image corresponding to the region of interest with the corrected raw data.

Local motion compensation based on list mode data

Sampling frequency of a ray casting for generating a projection image is varied in dependence of information derived from a 3D volume data during rendering. Furthermore, an interpolation is performed for skipped pixels for which no ray casting was performed in the projection image, based on this information.

Adaptive image interpolation for volume rendering

Medical imaging modalities generate increasingly more and very large three-dimensional data sets. According to an exemplary embodiment of the present invention, a three-dimensional data set of an object of interest is interactively visualized with a varying sampling rate in an image. Advantageously, a focus area may be moved by a user interactively during rendering, wherein the sampling rate of a particular part of the image is defined by its relative position to the focus area. Advantageously, this may allow for an improvement of an overall rendering performance.

Image visualization

High frequency signals cannot be reconstructed properly from sampled data if the sampling frequency lies below the Nyquist rate. The invention addresses this problem by choosing few additional sample points along a trajectory intersecting the region comprising the high frequency signals, such as an edge. Intermediate rendering data is used to determine the additional sample points. Therefore, according to an exemplary embodiment of the present invention, 4 adaptively chosen sample points per pixel may provide a visual quality comparable to 16 times super-sampling, but at a much lower computational cost.

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Aachen, Germany

Marc Busch