Abstract: An image analysis method and device is for detecting failure or error in an image segmentation procedure. The method comprises comparing (14) segmentation outcomes for two or more images, representative of a particular anatomical region at different respective time points, and identifying a degree of consistency or deviation between them. Based on this derived consistency or deviation measure, a measure of accuracy of the segmentation procedure is determined (16).

Abstract: An image processing system and related method. The system comprises an input interface (IN) configured for receiving an n[?2]-dimensional input image with a set of anchor points defined in same, said set of anchor points forming an input constellation. A constellation modifier (CM) is configured to modify said input constellation into a modified constellation. A constellation evaluator (CE) configured to evaluate said input constellation based on said hyper-surface to produce a score. A comparator (COMP) is configured to compare said score against a quality criterion. Through an output interface (OUT) said constellation is output if the score meets said criterion. The constellation suitable to define a segmentation for said input image.

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: 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: An image processing system and related method. The system comprises an input interface (IN) configured for receiving an n[?2]-dimensional input image with a set of anchor points defined in same, said set of anchor points forming an input constellation. A constellation modifier (CM) is configured to modify said input constellation into a modified constellation. A constellation evaluator (CE) configured to evaluate said input constellation based on said hyper-surface to produce a score. A comparator (COMP) is configured to compare said score against a quality criterion. Through an output interface (OUT) said constellation is output if the score meets said criterion. The constellation suitable to define a segmentation for said input image.

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: 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: 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 apparatus includes a sensor which guides a decision that acoustic coupling quality is insufficient, the apparatus issuing a user alert upon the decision.

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

Abstract: A method and apparatus for segmenting a two-dimensional image of an anatomical structure includes acquiring (202) a three-dimensional model of the anatomical structure. The three-dimensional model includes 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: 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: 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: An ultrasonic diagnostic imaging system has a user control by which a user positions the user's selection of a heart chamber border in relation to two myocardial boundaries identified by a deformable heart model. The user's border is positioned by a single degree of freedom control which positions the border as a function of a single user-determined value. This overcomes the vagaries of machine-drawn borders and their mixed acceptance by clinicians, who can now create repeatably-drawn borders and exchange the control value for use by others to obtain the same results.

Abstract: The present invention relates to an ultrasound imaging system comprising: an image processor configured to receive at least one set of volume data resulting from a three-dimensional ultrasound scan of a body and to provide corresponding display data, an anatomy detector configured to detect a position and orientation of an anatomical object of interest within the at least one set of volume data, a slice generator for generating a plurality of two-dimensional slices from the at least one set of volume data, wherein said slice generator is configured to define respective slice locations based on the results of the anatomy detector for the anatomical object of interest so as to obtain a set of two-dimensional standard views of the anatomical object of interest, wherein the slice generator is further configured to define for each two-dimensional standard view which anatomical features of the anatomical object of interest are expected to be contained, and an evaluation unit for evaluating a quality factor for e

Abstract: A system (100) and computer-implemented method are provided for data collection for distributed machine learning of a machine learnable model. A privacy policy data (050) is provided defining computer-readable criteria for limiting a selection of medical image data (030) to a subset of the medical image data to obfuscate an identity of the at least one patient. The medical image data is selected based on the computer-readable criteria to obtain privacy policy-compliant training data (060) for transmission to another entity. The system and method enable medical data collection at clinical sites without requiring manual oversight, and enables such selections to be made automatically, e.g., based on a request for medical image data which may be received from outside of the clinical site.

Abstract: An ultrasonic diagnostic imaging system has a user control by which a user positions the user's selection of a heart chamber border in relation to two myocardial boundaries identified by a deformable heart model. The user's border is positioned by a single degree of freedom control which positions the border as a function of a single user-determined value. This overcomes the vagaries of machine-drawn borders and their mixed acceptance by clinicians, who can now create repeatably-drawn borders and exchange the control value for use by others to obtain the same results.

Abstract: The present invention relates to an ultrasound imaging system (10) comprising: —an image processor (34) configured to receive at least one set of volume data resulting from a three-dimensional ultrasound scan of a body (12) and to provide corresponding display data, —an anatomy detector (38) configured to detect a position and orientation of an anatomical object of interest within the at least one set of volume data, —a slice generator (40) for generating a plurality of two-dimensional slices from the at least one set of volume data, wherein said slice generator (40) is configured to define respective slice locations based on the results of the anatomy detector for the anatomical object of interest so as to obtain a set of two-dimensional standard views of the anatomical object of interest, wherein the slice generator (40) is further configured to define for each two-dimensional standard view which anatomical features of the anatomical object of interest are expected to be contained, and —an evaluation unit (

Abstract: A method is provided for generating an ultrasound image of an anatomical region having a volume. First image low resolution image data is enhanced by adapting a 3D anatomical model to the image data to generate a second, greater, quantity of ultrasound image data in respect of the anatomical region. The enhanced volumetric information is then displayed. An anatomical model is thus used to complete partial image data thereby increasing the image resolution, so that a high resolution volumetric image can be displayed with a reduced image capture time.

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.