Koninklijke Philips Corporation N.v.

Jens-Christoph Georgi

Bernd Schweizer

Manoj Narayanan

Heinrich Von Busch

Ralph Brinks

Alexander Fischer

Michael Perkuhn

Frank O Thiele

Timo Paulus

Ana Belen Martin Recuero

A treatment planning apparatus includes a treatment modeler. The treatment modeler uses models of a plurality of treatment modalities in a treatment space to generate a treatment protocol that includes one or more the modalities in the treatment space. In one implementation, a treatment modality includes the removal of targeted treatment agents from an object.

Multi-treatment planning apparatus and method

When estimating an arterial input function or a patient under study, cross-calibration factors are generated by comparing nuclear scan data of a radioactive material (e.g., F18) and measuring a sample of the radioactive material in a gamma counter. The derived cross-calibration factors are applied to venous samples collected from the patient during a nuclear scan after infusion with a radioactive tracer, to convert gamma values counted by the gamma counter into concentration values. The concentration values are used to optimize an initial estimated input function, thereby generating an arterialized input function.

Integrated work-flow for accurate input function estimation

A method includes generating a kinetic parameter value for a VOI in a functional image of a subject based on motion corrected projection data using an iterative algorithm, including determining a motion correction for projection data corresponding to the VOI based on the VOI, motion correcting the projection data corresponding to the VOI to generate the motion corrected projection data, and estimating the at least one kinetic parameter value based on the motion corrected projection data or image data generated with the motion corrected projection data. In another embodiment, a method includes registering functional image data indicative of tracer uptake in a scanned patient with image data from a different imaging modality, identifying a VOI in the image based on the registered images, generating at least one kinetic parameter for the VOI, and generating a feature vector including the at least one generated kinetic parameter and at least one bio-marker.

Functional imaging

A system and method for planning a necrosis-inducing therapy and subsequent administration of a necrosis-targeting agent are described. The system takes into account the effect of necrosis-induction therapy as a basis for the biodistribution estimate of the necrosis-targeting agent. This interaction between the different calculation steps is essential for an accurate planning result. A computer-readable medium and use are also provided.

System, method, computer-readable medium, and use for planning combined therapy

A treatment planning apparatus () includes a treatment modeler (). The treatment () modeler uses models () of a plurality of treatment modalities in a treatment space () to generate a treatment protocol () that includes one or more the modalities in the treatment space. In one implementation, a treatment modality includes the removal of targeted treatment agents from an object.

A radiological imaging method comprises: acquiring radiological lines of response (LOR's) from a subject; grouping the acquired LOR's into time intervals such that each group of LOR's () was acquired during a selected time interval; identifying a region of interest () for each time interval based on LOR's grouped into that time interval; for each time interval, determining a positional characteristic () of the region of interest identified for that time interval based on LOR's grouped into that time interval; for each time interval, spatially adjusting LOR's grouped into that time interval based on the positional characteristic of the region of interest identified for that time interval; and reconstructing at least the spatially adjusted LOR's to generate a motion compensated reconstructed image.

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Aachen, Germany

Jens-Christoph Georgi