Abstract: A method for use in image reconstruction of CT projection data, which aims at reducing motion artefacts in reconstructed images caused by movement of anatomical bodies. Embodiments are based on mitigating motion artefacts based on restricting the range of data that is used for reconstructing each slice. More particularly, a sub-range of the projection data corresponding to each slice is selected, this sub-range being chosen based on determining one or more sub-windows of visibility of a target anatomical object or event within the projection data sequence. The event may be a particular phase of a movement cycle of the anatomical body. The structure could be a particular portion of the anatomical body which is of interest. Either approach leads to reduction of motion artefacts within a single slice, by restricting the data range, and focusing upon the data which is most relevant clinically.

Abstract: An ultrasound system is disclosed comprising an ultrasound transducer array (100) comprising a plurality of ultrasound transducer cells (130), each of said cell having an independently adjustable position and/or orientation such as to conform an ultrasound transmitting surface of the cell to a region of a body and a controller (140). The controller is configured to register the respective ultrasound transducer cells by simultaneously operating at least two ultrasound transducer cells in a transmit mode in which the cells transmit distinguishable ultrasound signals and operating the remaining ultrasound transducer cells in a receive mode.

Abstract: A controller for preparing an image for segmenting includes a memory that stores instructions, and a processor that executes the instructions. When executed by the processor, the instructions cause the controller to perform a process that includes displaying a first modeled tissue structure of a first type, and displaying an image of a first tissue structure of the first type separate from the first modeled tissue structure. The process also includes identifying, on the first modeled tissue structure, landmarks on the first modeled tissue structure for identification on the image of the first tissue structure, and sequentially accentuating each landmark on the first modeled tissue structure. The processor identifies locations on the image of the first tissue structure for each landmark on the first modeled tissue structure. The landmarks on the first modeled tissue structure are mapped to the locations identified on the image of the first tissue structure.

Abstract: The present invention relates to an apparatus (10) for correcting computer tomography (“CT”) X-ray data acquired at high relative pitch, the apparatus comprising: an input unit (20); a processing unit (30); and an output unit (40). The input unit is configured to provide the processing unit with CT X-ray data of a body part of a person acquired at high relative pitch. The processing unit is configured to determine CT slice reconstruction data of the body part of the person with no or reduced high relative pitch operation reconstruction artefacts using a machine learning algorithm. The machine learning algorithm was trained on the basis of CT slice reconstruction data, and wherein the CT slice reconstruction data comprised first CT slice reconstruction data with high relative pitch reconstruction artefacts and comprised second CT slice reconstruction data with less, less severe, or no high relative pitch reconstruction artefacts.

Abstract: A brachytherapy treatment planning system includes a processor that: receives a planning image corresponding to at least a portion of a prostate; generates a brachytherapy treatment plan comprising, for each of a plurality of brachytherapy seeds or catheters, a corresponding brachytherapy seed or catheter position in the planning image such that the plurality of brachytherapy seed or catheter positions in the planning image together satisfy a desired radioactive dose objective in the prostate; receives a pre-treatment image corresponding to the at least a portion of a prostate; and maps each brachytherapy seed or catheter position in the planning image to a corresponding position in the pre-treatment image by performing a registration between the planning image and the pre-treatment image.

Abstract: The invention relates ultrasound assistance device (20), an ultrasound device including such ultrasound assistance device, a medical system (100) including the same and a corresponding method as well as to a corresponding software product. According to the present invention, a segmentation of first image data (e.g. MRI data) and deformation information is obtained, while the deformation information may be obtained explicitly or implicitly (e.g. from general information of the equipment used and/or from the first image data/the segmentation of the first image data). Such deformation information is used for adjustment (e.g. automatic adjustment or guided adjustment including feedback to a user) for an adjustable ultrasound probe (30, 30?), while the ultrasound image acquired by such adjusted ultrasound probe is then segmented using the segmentation of the first image data.

Abstract: An ultrasound system is disclosed comprising an ultrasound transducer array (100) comprising a plurality of ultrasound transducer cells (130), each of said cell having an independently adjustable position and/or orientation such as to conform an ultrasound transmitting surface of the cell to a region of a body and a controller (140). The controller is configured to register the respective ultrasound transducer cells by simultaneously operating at least two ultrasound transducer cells in a transmit mode in which the cells transmit distinguishable ultrasound signals and operating the remaining ultrasound transducer cells in a receive mode.

Abstract: A brachytherapy treatment planning system includes a processor that: receives a planning image corresponding to at least a portion of a prostate; generates a brachytherapy treatment plan comprising, for each of a plurality of brachytherapy seeds or catheters, a corresponding brachytherapy seed or catheter position in the planning image such that the plurality of brachytherapy seed or catheter positions in the planning image together satisfy a desired radioactive dose objective in the prostate; receives a pre-treatment image corresponding to the at least a portion of a prostate; and maps each brachytherapy seed or catheter position in the planning image to a corresponding position in the pre-treatment image by performing a registration between the planning image and the pre-treatment image.

Abstract: A controller for preparing an image for segmenting includes a memory that stores instructions, and a processor that executes the instructions. When executed by the processor, the instructions cause the controller to perform a process that includes displaying a first modeled tissue structure of a first type, and displaying an image of a first tissue structure of the first type separate from the first modeled tissue structure. The process also includes identifying, on the first modeled tissue structure, landmarks on the first modeled tissue structure for identification on the image of the first tissue structure, and sequentially accentuating each landmark on the first modeled tissue structure. The processor identifies locations on the image of the first tissue structure for each landmark on the first modeled tissue structure. The landmarks on the first modeled tissue structure are mapped to the locations identified on the image of the first tissue structure.

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: The invention relates to an ultrasound system for imaging a volumetric region comprising a region of interest (ROI) (82?). The system comprises a probe (10); an ultrasound wave controlling unit adapted to control ultrasound wave transmission and provide ultrasound image data of the volumetric region (131); an image processor; and a ROI identifier, which is adapted to generate identification data indicating the ROI within the volumetric region; wherein the ultrasound wave transmission is configurable by a plurality of use cases in response to respective identifiers of said use cases, each use case being associated with a particular imaging procedure and comprising an anatomical model for said imaging procedure; and wherein the ROI identifier is configurable by the respective anatomical models of said use cases.

Abstract: 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.

Abstract: The present invention relates to a system, a corresponding method and computer program for assessing outflow tract obstruction of a heart of a subject, the system comprising a unit (10) for providing a geometrical model of the heart, a unit (20) for providing a volumetric image of the heart, a unit (30) for adapting the geometrical model to the volumetric image to obtain an adapted model (32), a unit (40) for providing an implant model (44) of an implant and for constructing the implant model (44) into the adapted model (32) to obtain an enhanced model (42), a unit (60) for determining a trajectory curve (62) through an outflow tract (52), and a unit (50) for assessing outflow tract obstruction based on the adapted model (32), the enhanced model (42) and the trajectory curve (62). The invention allows for an improved assessing of an outflow tract obstruction of a heart of a subject.

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: 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 generating a predictive model for use in optimizing a clinical workflow. The predictive model may be generated as follows. Workflow metadata is obtained which is indicative of the clinical workflow. A viewer log is obtained of an image viewer used by a physician to review one or more medical images. The viewer log may be indicative of one or more viewing actions performed by the physician using the image viewer. A diagnostic value of the one or more medical images is then estimated based on the viewing actions. The above steps are performed for different clinical workflows. A machine learning technique is then applied to the resulting plurality of diagnostic values and plurality of workflow metadata to generate the predictive model. The generated predictive model is predictive of the diagnostic value of medical images acquired by a particular clinical workflow given the workflow metadata of the particular clinical workflow.

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: The present invention relates to a medical instrument for automatically detecting affected regions in an examination area of a subject comprising: a memory containing machine executable instructions; and a processor for controlling the medical instrument, wherein execution of the machine executable instructions causes the processor to control the instrument to: obtain a first anatomical image of the examination area and a first image of fibers of the examination area, wherein a first parameter and a second parameter describe characteristics of the first anatomical image and the first image of fibers respectively; segment the first anatomical image into a plurality of segments indicating respective tissues and/or structures in the examination area; identify first lesions in the segmented first anatomical image; use values of the first and/or second parameters for determining seed points in the identified first lesions for a tracking algorithm for tracking first fibers in the first image of fibers.

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).