Abstract: The present invention relates to a device for encoding an anatomical shape (13) of a living being, comprising a receiving unit (12) for receiving an anatomical shape (13); a shape representation generating unit (14) for generating a shape representation of the anatomical shape (13) by using one or more shape representation models and determining the value of one or more shape representation coefficients of the one or more shape representation models; and a conversion unit (16) for converting the determined value of the one or more shape representation coefficients into a human-readable code comprising one or more human-readable characters.

Abstract: Provided is a method (200) for generating a combined anatomical model of a heart. The method comprises receiving (220) a non-contrast agent-enhanced ultrasound image of a left ventricular region of the heart and receiving (240) a contrast agent-enhanced ultrasound image of the left ventricular region of the heart. Image registration (260) is performed on the respective non-contrast agent-enhanced and contrast agent-enhanced ultrasound images, such that the respective images are aligned. Combined segmentation (270) of the aligned non-contrast agent-enhanced and contrast agent-enhanced ultrasound images is then carried out to generate the combined anatomical model. The combined segmentation (270) uses features of both of the aligned non-contrast agent-enhanced and contrast agent-enhanced ultrasound images as target points. Further provided is a processor arrangement adapted to implement the method and an ultrasound system comprising the processor arrangement.

Abstract: The application discloses a computer-implemented method (100) of providing a model for estimating an anatomical body measurement value from at least one 2-D ultrasound image including a contour of the anatomical body, the method comprising providing (110) a set of 3-D ultrasound images of the anatomical body; and, for each of said 3-D images, determining (120) a ground truth value of the anatomical body measurement; generating (130) a set of 2-D ultrasound image planes each including a contour of the anatomical body, and for each of the 2-D ultrasound image planes, extrapolating (140) a value of the anatomical body measurement from at least one of an outline contour measurement and a cross-sectional measurement of the anatomical body in the 2-D ultrasound image plane; and generating (150) said model by training a machine-learning algorithm to generate an estimator function of the anatomical body measurement value from at least one of a determined outline contour measurement and a determined cross-sectional me

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 system includes an analytics unit (140), which compares a medical image (105) and associated information with a stored medical guideline (142), and identifies an error or a deviation (340) from the medical guideline based on the comparison.

Abstract: An apparatus includes an imaging probe and is configured for dynamically arranging presentation of visual feedback for guiding manual adjustment, via the probe, of a location, and orientation, associated with the probe. The arranging is selectively based on comparisons between fields of view of the probe and respective results of segmenting image data acquired via the probe. In an embodiment, the feedback does not include a grayscale depiction of the image data. Coordinate system transformations corresponding to respective comparisons may be computed. The selecting may be based upon and dynamically responsive to content of imaging being dynamically acquired via the probe.

Abstract: An ultrasound image processing apparatus (10) is disclosed comprising a processor arrangement (16) adapted to map a model (1) of an anatomical feature of interest onto an ultrasound image showing at least a section of said anatomical feature of interest and to segment said ultrasound image in accordance with the mapped model; and a touchscreen display (18, 19) adapted to display said ultrasound image including the mapped anatomical model. The processor arrangement is responsive to the touchscreen display and adapted to recognize a type of a user touch motion (3) provided through the touchscreen display (18, 19), each type of user touch motion being associated with a particular type of alteration of said mapping and alter said mapping in accordance with the recognized type of user touch motion. Also disclosed are an ultrasound imaging system, a computer-implemented method and a computer program product.

Abstract: An apparatus includes an imaging probe and is configured for dynamically arranging presentation of visual feedback (144) for guiding manual adjustment, via the probe, of a location, and orientation, associated with the probe. The arranging is selectively based on comparisons (321) between fields of view of the probe and respective results of segmenting image data acquired via the probe. In an embodiment, the feedback does not include (175) a grayscale depiction of the image data. Coordinate system trans formations corresponding to respective comparisons may be computed. The selecting may be based upon and dynamically responsive to content of imaging being dynamically acquired via the probe.

Abstract: A system and method is provided for performing a model-based segmentation of a medical image which only partially shows an anatomical structure. In accordance therewith, a model is applied to the image data of the medical image, the model-based segmentation providing an adapted model having a first model part having been adapted to the first part of the anatomical structure in the medical image of the patient, and a second model part representing the second part of the anatomical structure not having been adapted to a corresponding part of the medical image. Metadata is generated which identifies the first model part to enable the first model part to be distinguished from the second model part in a further processing of the adapted model. Advantageously, the metadata can be used to generate an output image which visually indicates to the user which part of the model has been personalized and which part of the model has not been personalized.

Abstract: There is provided a method and apparatus for segmenting a two-dimensional image of an anatomical structure. A three-dimensional model of the anatomical structure is acquired (202). The three-dimensional model comprises a plurality of segments. The acquired three-dimensional model is adapted to align the acquired three-dimensional model with the two-dimensional image (204). The two-dimensional image is segmented by the plurality of segments of the adapted three-dimensional model.

Abstract: Image processing method or apparatus (IP) to transform a 3D image data set (DS) into a visually protected one (DSX). The 3D image set includes an object region (OR) and a background region (BR) that defines s silhouette of an imaged object (P). An inadvertent or malicious direct volume rendering of the silhouette (IF) of the object is prevented by applying a randomization operation to at least the background region (BR).

Abstract: The present invention relates to an ultrasound diagnosis apparatus (10), in particular for analyzing a fetus (62). An ultrasound data interface (66) is configured to receive 3D (three dimensional) ultrasound data from an object (12). The ultrasound diagnosis apparatus further comprises a measurement unit (70) for measuring anatomical structures of the object based on the segmentation data and a calculation unit (72) configured to calculate at least one biometric parameter based on the 3D ultrasound data.

Abstract: A model-based segmentation system includes a plurality of clusters (48), each cluster being formed to represent an orientation of a target to be segmented. One or more models (140) are associated with each cluster. The one or more models include an aspect associated with the orientation of the cluster, for example, the appearance of the target to be segmented. A comparison unit (124), configured in memory storage media, is configured to compare an ultra-sound image to the clusters to determine a closest matching orientation and is configured to select the one or more models based upon the cluster with the closest matching orientation. A model adaptation module (126) is configured to adapt the one or more models to the ultrasound image.

Abstract: The present invention provides an improved ultrasound imaging system arranged to evaluate a set of acquired 3D image data in order to provide a compounded 3D image of a fetus irrespective of its position and movement.

Abstract: The invention provides a ‘model-based’ imaging system in which surface values to be applied to a segmented surface of an imaged body are determined on the basis of projections cast into the volume of the imaged body, the projections made at angles and depths determined on the basis of information encoded within an anatomical model. In examples, the angles and depths are determined on the basis of a comprehensive segmentation of the imaged body, itself performed on the basis of the anatomical model. By locally varying projection angles and depths around the body, in dependence upon local anatomical context, improved imaging of the internal structure of the imaged body may be achieved. In particular, images may be generated providing representations of the internal structure which are of greater clinical utility or relevance. 4D data sets may also be better handled, through use of anatomical context to maintain consistency in representations across multiple frames.

Abstract: Disclosed are an imaging system (10) or an interventional tool, such as a catheter (20), having a first ultrasound transducer array (23) and a second ultrasound transducer array (21) spaced by a fixed distance (D) from each other; wherein both arrays may be used to generate diagnostic images; and a processing arrangement (31, 32) to process a first sensor signal indicative of the first array imaging a reference location (X) at a first point in time, and to process a second sensor signal indicative of the second array imaging the reference location at a second point in time; and determine a translation (pullback) speed of the catheter from the set distance and the difference between the first point in time and the second point in time. Alternatively, a catheter may be provided comprising an ultrasound transducer array at a distal end of the catheter, and two pressure sensors for determining the translation speed.

Abstract: System (100) for enabling an interactive inspection of a region of interest (122) in a medical image (102), the system comprising display means (160) for displaying user interface elements (310, 320, 330) of actions associated with the interactive inspection of the region of interest and a processor (180) for executing one of the actions when a user selects an associated one of the user interface elements, the system further comprising establishing means (120) for establishing the region of interest in the medical image, determining means (140) for determining an anatomical property (142) of the region of interest in dependence on an image property of the region of interest, and the display means (160) being arranged for (i), in dependence on the anatomical property, establishing a display configuration (162) of the user interface elements, and (ii) displaying the user interface elements in accordance with the display configuration.

Abstract: The present invention relates to a device for encoding an anatomical shape (13) of a living being, comprising a receiving unit (12) for receiving an anatomical shape (13); a shape representation generating unit (14) for generating a shape representation of the anatomical shape (13) by using one or more shape representation models and determining the value of one or more shape representation coefficients of the one or more shape representation models; and a conversion unit (16) for converting the determined value of the one or more shape representation coefficients into a human-readable code comprising one or more human-readable characters.

Abstract: The present invention relates to a medical image processing device (10), comprising:—a receiving unit (60) for receiving a first and a second medical image (72, 74) of an anatomical object of interest (84), wherein each of the first and the second medical images (72, 74) comprises a different field of view of the anatomical object of interest (84), and wherein the first medical image and the second medical image (72, 74) show a same or similar anatomical state of the anatomical object of interest (84);—a registration unit (64) that is configured to determine a transformation from an image space of the second medical image (74) to an image space of the first medical image (72);—a transformation unit (66) that is configured to transform the second medical image (74) into the image space of the first medical image (72) based on said transformation in order to receive a transformed second medical image (74?); and—a segmentation unit (68) that is configured to perform an overall segmentation that makes use of both

Abstract: An image processing apparatus (16) is disclosed for segmenting a region of interest (15) in a multi-dimensional image data of an object (12). The image processing apparatus comprises an interface for receiving an image data of the object including the region of interest to be segmented. A selection unit selects a deformable model 30 of an anatomical structure corresponding to the object in the image data. A processing unit segments the region of interest by adapting the deformable model on the basis of the image data (xt) and additional information of the object.