Abstract: A system for establishing a contour of a structure is disclosed. An initialization subsystem (1) 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 (2) 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 (3) 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 (4) is used for establishing a coordinate transform reflecting a registration mismatch between the first image, the second image, and the adaptive mesh.

Abstract: A system and method directed to receiving a first data set corresponding to patient data at a first time, receiving a second data set corresponding to patient data at a second time, segmenting a first region of interest in the first data set and a second region of interest in the second data set, the first and second regions corresponding to one another and aligning the first region of interest with the second region of interest to highlight a first contour indicating a change in size, shape and orientation between the first and second regions of interest.

Abstract: A measurement apparatus (800) to measure cortical thickness, the measurement apparatus may include at least one controller (810) which may be configured to: obtain magnetic resonance (MR) scan information of a region-of-interest of at least a portion of a cerebral cortex of a subject; form first, second and third meshes each comprising a plurality of points situated apart from each other, the first and third meshes being situated at inner and outer cortical boundary layers, respectively, of the cerebral cortex and the second mesh being situated between the first and third meshes; and/or for each of a plurality of points of the second mesh: determine a closest point of the first mesh and a closest point of the third mesh, determine a distance between the corresponding closest point of the first mesh and the corresponding closest point of the third mesh, said distance being corresponding with a cortical thickness.

Abstract: A system (100) and method is provided for performing a model-based segmentation of an anatomical structure in a medical image of a patient. The medical image (022) is accessed. Moreover, model data (162) is provided which defines a deformable model for segmenting the type of anatomical structure. The model-based segmentation of the anatomical structure is performed by adapting the deformable model to the anatomical structure in the medical image using an adaptation technique.

Abstract: A system and method directed to receiving a first data set corresponding to patient data at a first time, receiving a second data set corresponding to patient data at a second time, segmenting a first region of interest in the first data set and a second region of interest in the second data set, the first and second regions corresponding to one another and aligning the first region of interest with the second region of interest to highlight a first contour indicating a change in size, shape and orientation between the first and second regions of interest.

Abstract: A system and method including adapting a symmetric model representing anatomical structures of the brain, the model corresponding to a brain scan image, transforming first and second points provided on first and second hemispheres of the brain and computing, based on the transformation, a patient-specific symmetric anatomical model of the brain.

Abstract: An apparatus and related method for image viewing. The apparatus (V) allows to store, learn and remember preferred user views ?1-M for each anatomical structure F1-FN of interest. In any new image, the apparatus (V) affords automatically generating the preferred by the user for one or more of the structures (F1-FN) by a simple user input operation such as clicking with a mouse (PT) on any position within the displayed structure of interest (F1-FN).

Abstract: Ultrasound imaging, or ultrasonography, is a convenient imaging modality for diagnostic purposes. During procedures requiring visualization, the user coordinates the movement of the transducer through the manual selection of an appropriate representation on the screen. Ultrasound may also be employed for functional measurements. Typically, the measurement requires the manual selection of target planes, lines, or volumes where the measurement is to be performed. Therapeutic applications of ultrasound are also known in the art. Such applications typically employ higher energies, and therefore inaccuracies in positioning may result in damage to surrounding tissues. The invention provides a system and method for repeated determination of a first vector between a reference structure comprised in an anatomical volume and a medical imaging transducer configured to provide imaging data of the anatomical volume.

Abstract: Processing unit for assisting and/or performing a processing basic operation for a chemical reaction, with an operating unit for preparing a contribution for the processing basic operation and a frame for accommodating the operating units, the frame having an extension dL in the longitudinal direction which corresponds substantially to an integral multiple ZL of an integral portion NL of an extension LL, in the longitudinal direction of an interior of a standard transport container, in accordance with DIN ISO 668, and/or the frame having an extension dQ in the transverse direction with corresponds substantially to an integral multiple ZQ of an integral portion NQ of an extension LQ in the transverse direction of an interior of a standard transport container, in particular in accordance with DIN ISO 668, wherein different processing units can be stored in a pool for different processing basic operations and be assembled in modular and flexible manner in the standard transport container for the synthesis of a g

Abstract: A production installation having at least two process modules (P1, . . . , Pn) that can be connected to one another for production engineering purposes and a communication network (2), wherein each process module (P1, . . . , Pn) has an electronic device by means of which the respective process module (P1, . . . , Pn) can be connected to the communication network (2) for communications engineering purposes and is set up to control and/or regulate the respective process module (P1, . . . , Pn) to independently carry out a particular process section of the production.

Abstract: The invention relates to a method, a computer program product, a segmentation system and a user interface for structuring an unstructured text by making use of statistical models trained on annotated training data. The method performs text segmentation into text sections and assigns labels to text sections as section headings. The performed segmentation and assignment is provided to a user for general review. Additionally, alternative segmentations and label assignments are provided to the user being capable to select alternative segmentations and alternative labels as well as to enter a user defined segmentation and user defined label. In response to the modifications introduced by the user, a plurality of different actions are initiated incorporating the re-segmentation and re-labeling of successive parts of the document or the entire document.

Abstract: The invention relates to a method, a computer program product, a segmentation system and a user interface for structuring an unstructured text by making use of statistical models trained on annotated training data. The method performs text segmentation into text sections and assigns labels to text sections as section headings. The performed segmentation and assignment is provided to a user for general review. Additionally, alternative segmentations and label assignments are provided to the user being capable to select alternative segmentations and alternative labels as well as to enter a user defined segmentation and user defined label.

Abstract: The invention relates to a method, a computer program product, a segmentation system and a user interface for structuring an unstructured text by making use of statistical models trained on annotated training data. The method performs text segmentation into text sections and assigns labels to text sections as section headings. The performed segmentation and assignment is provided to a user for general review. Additionally, alternative segmentations and label assignments are provided to the user being capable to select alternative segmentations and alternative labels as well as to enter a user defined segmentation and user defined label. In response to the modifications introduced by the user, a plurality of different actions are initiated incorporating the re-segmentation and re-labeling of successive parts of the document or the entire document.

Abstract: In a speech recognition and correction system which comprises at least one speech recognition device (1) to which a spoken text (GT) can be fed, it being possible for said spoken text to be transcribe into a recognized text (ET), and a correction device (3) for correcting the text (ET) recognized by the at least one speech recognition device (1), said correction device being connected to the at least one speech recognition device (1) via a data network (2) for the transmission of the recognized text (ET) and where appropriate of the spoken text (GT), the correction device (3) has a lexicon of alternatives (23) which contains word parts, words and word sequences that can be displayed (22) by the correction device (3) as alternatives to individual word parts, words and word sequences of the recognized text.

Abstract: Medical images are collected in a plurality of cardiac and respiratory phases. The images are transformed into a series of respiratory compensated images with the plurality of cardiac phases, but all at a common respiration phase. The series of respiratory compensated images are transformed into one image at a selected cardiac phase and the common respiration phase. In some embodiments, a database of gated transform matrices is generated. The database may be based on specific patient information or on information generated from a pool of patients. The database may account for respiratory motion, cardiac contractile motion, other physiological motion, or combinations thereof. For a current image to be motion corrected, the transformation matrices collected in the database are used to estimate a current set of transformation matrices accounting for the motion in the current image, and a motion-compensated image is generated based on the current set of transform matrices.

Abstract: The invention relates to a method, a computer program product, a segmentation system and a user interface for structuring an unstructured text by making use of statistical models trained on annotated training data. The method performs text segmentation into text sections and assigns labels to text sections as section headings. The performed segmentation and assignment is provided to a user for general review. Additionally, alternative segmentations and label assignments are provided to the user being capable to select alternative segmentations and alternative labels as well as to enter a user defined segmentation and user defined label. In response to the modifications introduced by the user, a plurality of different actions are initiated incorporating the re-segmentation and re-labeling of successive parts of the document or the entire document.

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: The invention relates to a method, a computer program product, a segmentation system and a user interface for structuring an unstructured text by making use of statistical models trained on annotated training data. The method performs text segmentation into text sections and assigns labels to text sections as section headings. The performed segmentation and assignment is provided to a user for general review. Additionally, alternative segmentations and label assignments are provided to the user being capable to select alternative segmentations and alternative labels as well as to enter a user defined segmentation and user defined label. In response to the modifications introduced by the user, a plurality of different actions are initiated incorporating the re-segmentation and re-labeling of successive parts of the document or the entire document.

Abstract: The invention relates to a method, a computer program product, a segmentation system and a user interface for structuring an unstructured text by making use of statistical models trained on annotated training data. The method performs text segmentation into text sections and assigns labels to text sections as section headings. The performed segmentation and assignment is provided to a user for general review. Additionally, alternative segmentations and label assignments are provided to the user being capable to select alternative segmentations and alternative labels as well as to enter a user defined segmentation and user defined label. In response to the modifications introduced by the user, a plurality of different actions are initiated incorporating the re-segmentation and re-labelling of successive parts of the document or the entire document.

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.