Abstract: An image processing apparatus and related method. The apparatus (PP) comprises an input port (IN), a classifier (CLS) and an output port (OUT). The input port is capable of receiving an image of an object acquired at a field of view (FoV) by an imager (USP). The image records a pose of the object corresponding to the imager's field of view (FoV). The classifier (CLA) is configured to use a geometric model of the object to determine, from a collection of pre-defined candidate poses, the pose of the object as recorded in the image. The output port (OUT) is configured to output pose parameters descriptive of the determined pose.

Abstract: The present invention relates to a medical imaging system (10) for planning an implantation of a cardiac implant (42), comprising: a receiving unit (12) for receiving a plurality of three-dimensional (3D) cardiac images (14, 14?) showing different conditions of a heart (32) during a cardiac cycle; a segmentation unit (22) for segmenting within the plurality of 3D cardiac images (14, 14?) a target implant region (38) and a locally adjacent region (40) that could interfere with the cardiac implant (42); a simulation unit (24) for simulating the implantation of the cardiac implant (42) within the target implant region (40) in at least two of the plurality of 3D cardiac images (14, 14?); a collision evaluation unit (26) for evaluating an overlap (46) of the simulated cardiac implant (42) with the segmented locally adjacent region (40) in at least two of the plurality of 3D cardiac images (14, 14?); and a feedback unit (28) for providing feedback information to a user concerning the evaluated overlap (46).

Abstract: 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.

Abstract: 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.

Abstract: The present invention relates to a medical imaging system (10) for planning an implantation of a cardiac implant (42), comprising: a receiving unit (12) for receiving a plurality of three-dimensional (3D) cardiac images (14, 14?) showing different conditions of a heart (32) during a cardiac cycle; a segmentation unit (22) for segmenting within the plurality of 3D cardiac images (14, 14?) a target implant region (38) and a locally adjacent region (40) that could interfere with the cardiac implant (42); a simulation unit (24) for simulating the implantation of the cardiac implant (42) within the target implant region (40) in at least two of the plurality of 3D cardiac images (14, 14?); a collision evaluation unit (26) for evaluating an overlap (46) of the simulated cardiac implant (42) with the segmented locally adjacent region (40) in at least two of the plurality of 3D cardiac images (14, 14?); and a feedback unit (28) for providing feedback information to a user concerning the evaluated overlap (46).

Abstract: The present invention relates to medical image editing. In order to facilitate the medical image editing process, a medical image editing device (50) is provided that comprises a processor unit (52), an output unit (54), and an interface unit (56). The processor unit (52) 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 (52) 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 (54) is configured to provide a visual presentation of the 3D surface model.

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: An ultrasound imaging apparatus (10) for providing ultrasound images of a patient (12) is disclosed. The imaging apparatus (10) comprises an ultrasound acquisition unit (14) for acquiring ultrasound data (42) of a patient's body in a field of view (16), a position determining unit (24) for determining a position (26) within the patient's body. An ultrasound data transformation unit (30) is provided for transforming the ultrasound data in the filed of view on the basis of the determined position to transformed ultrasound data (42) in a virtual field of view (20) having a virtual viewing direction (28) different from the viewing direction of the ultrasound acquisition unit.

Abstract: An imaging apparatus for imaging an object includes a geometric relation determination unit configured to determine a geometric relation between first and second images of the object. A marker determination unit configured to determine corresponding marker locations in the first and second images and marker appearances based on the geometric relation such that the marker appearances of a first marker to be located at a first location in the first image and of a second marker to be located at a second corresponding location in the second image are indicative of the geometric relation. The images with the markers at the respective corresponding locations are shown on a display unit. Since the marker appearances are indicative of the geometric relation between the images, a comparative reviewing of the images can be facilitated, in particular, if they correspond to different viewing geometries.

Abstract: An electric properties tomography method for reconstructing a spatial distribution of electric conductivity (?) from magnetic resonance image data representative of a magnetic resonance image of at least a portion of a subject of interest (20), the spatial distribution covering at least a portion of the area of the magnetic resonance image, and the method comprising following steps:—segmenting the magnetic resonance image,—extrapolating acquired phase values,—replacing acquired phase values by the extrapolated phase values,—transforming into the frequency domain,—multiplying a frequency domain-transformed numerical second derivative by the acquired phase values and the frequency domain-transformed numerical second derivative by the extrapolated phase values, respectively, and—transforming the result of the multiplying into the spatial domain. Also covered are a corresponding MRI system and a software module.

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: The present invention relates to a medical imaging system (10) for planning an implantation of a cardiac implant (42), comprising: a receiving unit (12) for receiving a plurality of three-dimensional (3D) cardiac images (14, 14?) showing different conditions of a heart (32) during a cardiac cycle; a segmentation unit (22) for segmenting within the plurality of 3D cardiac images (14, 14?) a target implant region (38) and a locally adjacent region (40) that could interfere with the cardiac implant (42); a simulation unit (24) for simulating the implantation of the cardiac implant (42) within the target implant region (40) in at least two of the plurality of 3D cardiac images (14, 14?); a collision evaluation unit (26) for evaluating an overlap (46) of the simulated cardiac implant (42) with the segmented locally adjacent region (40) in at least two of the plurality of 3D cardiac images (14, 14?); and a feedback unit (28) for providing feedback information to a user concerning the evaluated overlap (46).

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 image processing apparatus and related method. The apparatus (PP) comprises an input port (IN), a classifier (CLS) and an output port (OUT). The input port is capable of receiving an image of an object acquired at a field of view (FoV) by an imager (USP). The image records a pose of the object corresponding to the imager's field of view (FoV). The classifier (CLA) is configured to use a geometric model of the object to determine, from a collection of pre-defined candidate poses, the pose of the object as recorded in the image. The output port (OUT) is configured to output pose parameters descriptive of the determined pose.

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: The invention relates to an imaging apparatus for imaging an object. A geometric relation determination unit (10) determines a geometric relation between first and second images of the object, wherein a marker determination unit (14) determines corresponding marker locations in the first and second images and marker appearances based on the geometric relation such that the marker appearances of a first marker to be located at a first location in the first image and of a second marker to be located at a second corresponding location in the second image are indicative of the geometric relation. The images with the markers at the respective corresponding locations are shown on a display unit (16). Since the marker appearances are indicative of the geometric relation between the images, a comparative reviewing of the images can be facilitated, in particular, if they correspond to different viewing geometries.

Abstract: A medical imaging system in which a current (X-ray) image (8) of a body volume is selected for association with one of several stored images (1Oa5IOb), the ECG and the respiratory cycle being determined each time together with the images. First and second static images (R1,R2) of the body volume in first and second extreme respiratory states are provided, and first and second respective similarity values (r1,r2) are determined for each current and previous image so as to calculate the respiratory phase of the body volume therein. Using this data, one of the previous images (10a) is chosen which is closest to the current image (8) in respect of cardiac rhythm and cycle.