Koninklijke Philips Corporation N.v.

Nuance Communications Austria Gmbh

Nuance Communications, Inc.

Koninklijke Philips Electronics N.v.

Philips Intellectual Property & Standards Gmbh

Carsten Meyer

Jochen Peters

Fabian Wenzel

Thomas Heiko Stehle

Evgeny Matusov

Dietrich Klakow

Martin Bergtholdt

Lyubomir Georgiev Zagorchev

Astrid Ruth Franz

Alexander Fischer

Ralph Brinks

Marc Busch

Daniel Gagnon

Juergen Weese

Lingxiong Shao

Hans-Aloys Wischmann

Lothar Spies

Reinhard Kneser

Heinrich Franz Bartosik

Olivier Ecabert

Ingwer-Curt Carlsen

Angela Da Silva

Elizabeth Anne Moore

Ingwer C Carlsen

Jeffrey Miller

Houchun Hu

Fabien Wenzel

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

Establishing a contour of a structure based on image information

A cortical malformation identification method includes quantitatively evaluating, using a processor of a computer that includes the processor and a memory, digital image data from a magnetic resonance imaging (MRI) scan on a cerebral cortex to produce quantified scan data. The method also includes automatically detecting a cortical malformation based on the quantified scan data. An image of the cerebral cortex may be color-coded so that the cortical malformation is shown in a different color than the remainder of the cerebral cortex in the image, based on the quantified scan data. Additionally or alternatively, a 3-dimensional representation of the cerebral cortex may be mapped to the quantified scan data to produce a mapped image of the cerebral cortex including the detected cortical malformation.

Cortical malformation identification

The present invention relates to medical image editing. In order to facilitate the medical image editing process, a medical image editing device () is provided that comprises a processor unit (), an output unit (), and an interface unit (). The processor unit () is configured to provide a 3D surface model of an anatomical structure of an object of interest. The 3D surface model comprises a plurality of surface sub-portions. The surface sub-portions each comprise a number of vertices, and each vertex is assigned by a ranking value. The processor unit () is further configured to identify at least one vertex of vertices adjacent to the determined point of interest as an intended vertex. The identification is based on a function of a detected proximity distance to the point of interest and the assigned ranking value. The output unit () is configured to provide a visual presentation of the 3D surface model. The interface unit () is configured to determine a point of interest in the visual presentation of the 3D surface model by interaction of a user. The interface unitis further configured to modify the 3D surface model by displacing the intended vertex by manual user interaction. In an example, the output unit () is a display configured to display the 3D surface model directly to the user ().

Medical image editing

A symmetric model representing anatomical structures of the brain is adapted to a brain scan image with a transform. First and second points provided on first and second hemispheres of the brain image and a patient-specific symmetric anatomical model of the brain is computed based on the transformation.

Improving symmetry in brain scans

A system and method are provided for brain tissue classification, which involves applying an automated tissue classification technique to an image of a brain based on a prior probability map, thereby obtaining a tissue classification map of the brain. A user is enabled to, using a user interaction subsystem, provide user feedback which is indicative of a) an area of misclassification in the tissue classification map and b) a correction of the misclassification. The prior probability map is then adjusted based on the user feedback to obtain an adjusted prior probability map, and the automated tissue classification technique is re-applied to the image based on the adjusted prior probability map. An advantage over a direct correction of the tissue classification map may be that the user does not need to indicate the area of misclassification or the correction of the misclassification with a highest degree of accuracy. Rather, it may suffice to provide an approximate indication thereof.

Brain tissue classification

A system and method are provided for interactive editing of a mesh which has been applied to a three-dimensional (3D) image to segment an anatomical structure shown therein. To facilitate the interactive editing of the applied mesh, a view of the 3D image is generated which shows a mesh part to be edited, with the view being established based on a local orientation of the mesh part. Advantageously, the view may be generated to be substantially orthogonally to the mesh part, or to a centerline of the anatomical structure which is determined as a function of the mesh part. Accordingly, an orthogonal view is established which facilitates the user in carrying out the editing action with respect to the mesh part. It is therefore not needed for the user to manually navigate through the 3D image to obtain a view which is suitable for mesh editing, which is typically time consuming.

Interactive mesh editing

An apparatus and related method for image viewing. The apparatus (V) allows to store, learn and remember preferred user views &#x3b1;for each anatomical structure F-Fof interest. In any new image, the apparatus (V) affords automatically generating the preferred by the user for one or more of the structures (F-F) by a simple user input operation such as clicking with a mouse (PT) on any position within the displayed structure of interest (F-F).

Preferred view generation on structure level based on user preferences

A system () and method is provided for performing a model-based segmentation of an anatomical structure in a medical image of a patient. The medical image () is accessed. Moreover, model data () 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. In accordance with the present invention, performing the model based segmentation further comprises determining from patient data () medical information which is predictive of an appearance of the anatomical structure in the medical image, and adjusting or setting a segmentation parameter based on the medical information so as to adjust the model-based segmentation to said predicted appearance of the anatomical structure in the medical image, the segmentation parameter being a parameter of i) the deformable model or ii) the adaptation technique. Advantageously, the system and method are enabled to better cope with the inter-patient and inter-disease-stage variability in the appearance of anatomical structures.

Model-based segmentation of an anatomical structure

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.

Interactive follow-up visualization

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. The invention provides an automated tracking system of the reference structure, requiring that the user only selects the reference structure.

Medical imaging

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.

Text segmentation and label assignment with user interaction by means of topic specific language models, and topic-specific label statistics

Text segmentation and label assignment with user interaction by means of topic specific language models and topic-specific label statistics

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

System for speech recognition and correction, correction device and method for creating a lexicon of alternatives

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.

Motion compensation in functional 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.

Growing community of inventors

Aachen, Germany

Carsten Meyer