Abstract: A system is provided for quantification of medical image data. First image obtaining means (1) are for obtaining a first image (A). Second image obtaining means (2) are for obtaining a second image (B). Spatial transformation obtaining means (3) are for obtaining spatial transformation information representing a correspondence between points in the first image and corresponding points in the second image. Identifying means (4) are for identifying a first image region (C) in the first image (A). Transforming means (5) are for transforming the first image region (C) into a corresponding second image region C?) in the second image (B) based on the spatial transformation information. Quantification means (6) are for computing a quantification relating to the second image region (C?) by accessing image values of the second image (B) within the second image region (C?).

Abstract: Adhesive foil with at least one layer of a heat activated bondable adhesive mass comprising black pigments.

Abstract: The invention describes a method and a system for generating training data (DT) for an automatic speech recogniser (2) for operating at a particular first sampling frequency (fH), comprising steps of deriving spectral characteristics (SL) from audio data (DL) sampled at a second frequency (fL) lower than the first sampling frequency (fH), extending the bandwidth of the spectral characteristics (SL) by retrieving bandwidth extending informationOBE) from a codebook (6), and processing the bandwidth extended spectral characteristics (SLE) to give the required training data (DT). Moreover a method and a system (5) for generating a codebook (6) for extending the bandwidth of spectral characteristics (SL) for audio data (DL) sampled at a second sampling frequency (fL) to spectral characteristics (SH) for a first sampling frequency (fH) higher than the second sampling frequency (fL) are described.

Abstract: A method of identifying a myocardial region of interest in cardiac medical image data is disclosed. The method includes identifying myocardial tissue (200) in first (204) and second (206) views of the medical imaging data and constructing a myocardial surface (502). In one embodiment, the myocardial surface is modeled as a plurality of elliptical arc segments (502) and a half ellipsoid.

Abstract: An apparatus includes a scanner (102, 104) and a scanning motion monitor (100). A motion modeler (116) uses data from the scanning motion monitor (100) and the scanner (102, 104) to generate a motion model which describes motion of a region of interest of an object. A treatment planner (112) uses image data from the scanner (102, 104) to establish a treatment plan for the object. A treatment device 114, which operates in conjunction with a treatment motion monitor (108), uses the motion model to compensate for motion of the object during application of the treatment.

Abstract: Radar sensor having a mixer for mixing a received signal with a reference signal and having a device for compensating interference signals which would overload the mixer, wherein the device for compensating the interference signals has an adjustable reflection point at the reference input of the mixer.

Abstract: 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 (20) was acquired during a selected time interval; identifying a region of interest (60, 74) for each time interval based on LOR's grouped into that time interval; for each time interval, determining a positional characteristic (102) 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.

Abstract: A microelectromechanical system (MEMS) device for sensing a magnetic field comprising: a base; a cantilever attached to the base structure at a first end and movable at a second end, the second end oscillating at a predetermined frequency upon application of a current; a magnetic sensor attached to the movable second end; at least one flux concentrator mounted on the base adapted to transfer magnetic flux to the sensor; whereby when the current is applied, the oscillation of the cantilever causes the sensor to oscillate between the lines of flux transferred from the at least one flux concentrator resulting in the shift of the frequency of the sensed magnetic field to the predetermined frequency. The invention further comprises a method of making the MEMS device.

Abstract: This invention relates to rearranging a cluster map of voxels in an image aiming at the reduction of sub-cluster scatter. The cluster map that includes two or more cluster levels is displayed to the user along with the distribution of the voxels within each respective cluster levels. The aim is to enable the user to evaluate the quality of the cluster map and based on the evaluation to change the distribution of the voxels. Such a change in the distribution will result in an update of the cluster map.

Abstract: A method for use in functional medical imaging includes adaptively partitioning functional imaging data as a function of a spatially varying error model. The functional image data is partitioned according to an optimization strategy. The data may be visualized or used to plan a course of treatment. In one implementation, the image data is partitioned so as to vary its spatial resolution. In another, the number of clusters is varied based on the error model.

Abstract: A system is provided for quantification of medical image data. First image obtaining means (1) are for obtaining a first image (A). Second image obtaining means (2) are for obtaining a second image (B). Spatial transformation obtaining means (3) are for obtaining spatial transformation information representing a correspondence between points in the first image and corresponding points in the second image. Identifying means (4) are for identifying a first image region (C) in the first image (A). Transforming means (5) are for transforming the first image region (C) into a corresponding second image region C?) in the second image (B) based on the spatial transformation information. Quantification means (6) are for computing a quantification relating to the second image region (C?) by accessing image values of the second image (B) within the second image region (C?).

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: 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 (20) was acquired during a selected time interval; identifying a region of interest (60, 74) for each time interval based on LOR's grouped into that time interval; for each time interval, determining a positional characteristic (102) 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.

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: An apparatus includes a scanner (102, 104) and a scanning motion monitor (100). A motion modeler (116) uses data from the scanning motion monitor (100) and the scanner (102, 104) to generate a motion model which describes motion of a region of interest of an object. A treatment planner (112) uses image data from the scanner (102, 104) to establish a treatment plan for the object. A treatment device 114, which operates in conjunction with a treatment motion monitor (108), uses the motion model to compensate for motion of the object during application of the treatment.

Abstract: This invention relates to rearranging a cluster map of voxels in an image aiming at the reduction of sub-cluster scatter. The cluster map that includes two or more cluster levels is displayed to the user along with the distribution of the voxels within each respective cluster levels. The aim is to enable the user to evaluate the quality of the cluster map and based on the evaluation to change the distribution of the voxels. Such a change in the distribution will result in an update of the cluster map.

Abstract: This invention relates to a method of combining multiple binary cluster maps into a single cluster map; where each respective binary cluster map represents characteristic information and the single cluster map represent the sum of the characteristic information. Initially, each respective binary cluster map is assigned with a reliability factor for indicating the reliability of the binary cluster map. These factor values are then used to determine a reliability vector comprising reliability factor elements, where each respective reliability factor element is associated to certain cluster map area in the single cluster map and indicates the reliability of cluster map are. In that way, the single cluster map can be viewed with respect to the reliability.

Abstract: A medical information processing and storage system includes a medical images database storing medical images and metadata relevant to the medical images. A processor is configured to perform post-acquisition image processing on medical images. A medical images archiver is configured to store a medical image in the medical images database after the medical image has been processed by the processor. The medical images archiver stores the medical image in the database with processing-descriptive metadata that is descriptive of the post-acquisition image processing performed on the medical image by the processor.

Abstract: A therapy system (100) includes an imager (102), a therapy planner (104), and a therapy device (106). The therapy planner (104) includes a therapy prescription apparatus (118) which calculates a desired therapy (D) to be applied to a human patient or other subject. The therapy prescription system (118) uses a pathology model (122) and a patient-specific biological parameter history (124) to optimize the applied therapy.