Abstract:
The invention relates to a general composite compartmental model and a compartmental analysis procedure to extract non-invasively the concentration (Cp) of the imaging agent in plasma (301), in metabolites (304, 504) and in blood elements (303) (like red cells, platelets, plasma protein etc.) from time signal curves measured within a reference tissue region (200). This is made possible by deploying an injection function (SINJ(t)) as input which models the amount of imaging agent administered to the patient as a function of time. The invention allows the presentation of the plasma input function to the medical practitioner without the need for invasively drawing blood samples.
Abstract:
The invention relates to a general composite compartmental model and a compartmental analysis procedure to extract non-invasively the concentration (Cp) of the imaging agent in plasma (301), in metabolites (304, 504) and in blood elements (303) (like red cells, platelets, plasma protein etc.) from time signal curves measured within a reference tissue region (200). This is made possible by deploying an injection function (SINJ(t)) as input which models the amount of imaging agent administered to the patient as a function of time. The invention allows the presentation of the plasma input function to the medical practitioner without the need for invasively drawing blood samples.
Abstract:
The invention relates to the estimation of kinetic parameters for a target region (210) utilizing information from a normal (unperturbed) reference region (200). The proposed compartmental model models metabolic pathways for blood, reference and target tissue. The proposed analysis procedure features two alternatives: (A) Extraction of the plasma input in the reference region (200) and its unperturbed kinetic parameters, hereafter utilization of the plasma input and the kinetic parameters of the reference region as initial parameters for the analysis of the target region (210). (B) The system of kinetic equations describing the kinetics of the imaging agent in the target and reference regions is solved for the input function (amount of free imaging agent in the plasma or the total imaging agent SB(t) contained in plasma, blood elements and metabolites) considered to be the same for both regions.
Abstract:
The invention relates to a data processing system (1) for the evaluation of image data, particularly of PET-images (I), that represent the time varying concentration of a tracer substance like F-MISO in an object (20). The data processing system (1) comprises a library module (48) with analytical solutions (Cj(t)) for several compartment models. Preferably the library also contains the analytical gradients with respect to the parameters of interest. From the library an appropriate solution for each study can be chosen by a user. The use of analytical functions together with the information about the error (σA(t)) of the input data (either via noise models 43 or via a simulation 44) allows to extract all parameters mandatory to fully understand the kinetics of complex models (more than one tissue compartment) on a per-voxel basis in a robust way in real-time.
Abstract:
Methods and systems for interworking in messaging systems are described. An event store can be accessible by different dispatchers associated with different message servers. The dispatchers may be co-located with the event store or non co-located with the event store.
Abstract:
A system, apparatus, and method are based on a priori knowledge of the shape of the input function for defining an input region-if-interest (ROI) in pharmacokinetic modeling. Kinetic parameter estimation requires knowledge of tracer input activity and the present invention provides an automatic way to define an ROI for estimation of an input function that takes into account a priori knowledge of the shape of the input function based on an administered dose.
Abstract:
An imaging system (10) comprises a data device (30), which controls radiation data acquisition from a subject positioned in an examination region (18) for an examination. A rebinning processor (40) bins the acquired data periodically into a histogram (42). A transform (70) transforms the histogram (42) into individual independent or uncorrelated components, each component including a signal content and a noise content. A stopping determining device (52) compares an aspect of at least one selected component to a predetermined threshold (TH) and, based on the comparison, terminates the data acquisition.
Abstract:
In order to reduce an x-ray dose applied to a patient, it is necessary to know the dose absorbed by the patient. According to the present invention, there is provided a method of determining a local patient dose applied to a patient where after the reconstruction of the scan data into a diagnostic image, the scan data are backprojected into the patient volume, using the attenuation information of the diagnostic image to form a spatially varying photon fluence map. In parallel, the diagnostic image is segmented into anatomical structures to which dose-weighting factors are assigned. The locally absorbed dose is then calculated on the basis of the fluence map and the corresponding dose weights.
Abstract:
A diagnostic imaging system (10) corrects metal artifact streaks (38) emanating from a metal object (36) in a tomographic image (T). A first processor (40) reduces streaks (38) caused by mild artifacts by applying an adaptive filter (82). The filter (82) is perpendicularly oriented toward the center of the metal object (36). The weight of the filter (82) is a function of the local structure tensor and the vector pointing to the metal object (36). If it is determined that the strong artifacts are present in the image, a second processor (48) applies a sinogram completed image algorithm to correct for severe artifacts in the image. The sinogram completed image and adaptively filtered image are fused to a final corrected image. In the fusion process, highly corrupted tomographic regions are replaced by the result of the sinogram completed image and the remainder is replaced by the adaptively filtered image.
Abstract:
A radiation therapy planning procedure and device provides a model-based segmentation of co-registered anatomical and functional imaging information to provide a more precise radiation therapy plan. The biology-based segmentation models the imaging information to produce a parametric map, which is then clustered into regions of similar radiation sensitivity or other biological parameters relevant for treatment definition. Each clustered region is prescribed its own radiation prescription dose.