Abstract: The invention provides a method for guiding the acquisition of an ultrasound image. A 3D ultrasound image is acquired by an ultrasound probe at a first position and an anatomical structure is identified within the 3D ultrasound image. A target imaging plane is estimated based on the identified anatomical structure and it is determined whether the target imaging plane is present within the 3D ultrasound image. If the target imaging plane is present, a displacement between a central plane of the 3D ultrasound image and the target plane is determined. If the displacement is below a predetermined threshold, the target imaging plane is extracted and if the displacement is above the predetermined threshold, an instruction to acquire a 3D ultrasound image with the ultrasound probe at a second position, different from the first position, is generated based on the displacement. The invention further provides a method for estimating a target imaging plane.

Abstract: A method and system for mapping boundary detecting features of at least one source triangulated mesh of known topology to a target triangulated mesh of arbitrary topology. A region of interest in a volumetric image associated with each triangle of the target triangulated mesh is provided to a feature mapping network. The feature mapping network assigns a feature selection vector to each triangle of the target triangulated mesh. The associated region of interest and assigned feature selection vector for each triangle of the target triangulated mesh are provided to a boundary detection network. A predicted boundary based on features of the associated region of interest selected by the assigned feature selection vector is obtained from the boundary detection network.

Abstract: The invention provides a method for making anatomical measurements using a captured ultrasound image representative of the anatomical region of interest. The method comprises receiving (20) data representative of a set of points selected by a user within the image and interpreting from the points a particular anatomical measurement type which the user is intending to perform. In particular, the points are processed to identify (24) a pattern or other geometrical characteristic of the points, and the location (22) of at least one of the points within the image is also identified. These two characteristics are used to identify from the set of points which measurement the operator is performing. Once the measurement is identified, an appropriate measurement template (26) is selected and applied in order to derive (30) from the set of points an anatomical measurement.

Abstract: A system for generating ultrasound data in respect of an anatomical body being scanned makes use of a predetermined scan protocol, which specifies a sequence of types of ultrasound scan of structures of interest. These types may for example be different imaging modalities (static, dynamic, 2D, 3D etc.) which are most appropriate for viewing different structures within the anatomical body. From received ultrasound images, a model is used to identify the structures of interest within the ultrasound images. The best images for creating the types of scan of the protocol are then identified and a sequence is compiled of those best images. In this way, a sequence is created which combines different types of scan, in a structured way according to a predetermined protocol. This makes the analysis of the sequence most intuitive for a user, and simplifies comparison between different sequences.

Abstract: Presented are concepts for obtaining a confidence measure for a machine learning model. One such concept process input data with the machine learning model to generate a primary result. It also generate a plurality of modified instances of the input data and processes the plurality of modified instances of the input data with the machine learning model to generate a respective plurality of secondary results. A confidence measure relating to the primary result is determined based on the secondary results.

Abstract: The invention relates to a system for assessing a pulmonary image which allows for an improved assessment with respect to lung nodules detectability. The pulmonary image is smoothed for providing different pulmonary images (20, 21, 22) with different degrees of smoothing, wherein signal values and noise values, which are indicative of the lung vessel detectability and the noise in these images, are determined and used for determining an image quality being indicative of the usability of the pulmonary image to be assessed for detecting lung nodules. Since a pulmonary image shows lung vessels with many different vessel sizes and with many different image values, which cover the respective ranges of potential lung nodules generally very well, the image quality determination based on the different pulmonary images with different degrees of smoothing allows for a reliable assessment of the pulmonary image's usability for detecting lung nodules.

Abstract: An apparatus (10) for assessing radiologist performance includes at least one electronic processor (20) programmed to: during reading sessions in which a user is logged into a user interface (UI) (27), present (98) medical imaging examinations (31) via the UI, receive examination reports on the presented medical imaging examinations via the UI, and file the examination reports; and perform a tracking method (102, 202) including at least one of: (i) computing (204) concurrence scores (34) quantifying concurrence between clinical findings contained in the examination reports and corresponding computer-generated clinical findings for the presented medical imaging examinations which are generated by a computer aided diagnostic (CAD) process miming as a background process during the reading sessions; and/or (ii) determining (208) reading times (38) for the presented medical imaging examinations wherein the reading time for each presented medical imaging examination is the time interval between a start of the prese

Abstract: An ultrasound imaging system includes a processor circuit in communication with an ultrasound transducer configured to receive three-dimensional ultrasound data of an anatomy, and generate a target image corresponding to a target image plane of the anatomy, and a plurality of adjacent images corresponding to image planes adjacent to the target image plane along a simulated motion path. The processor circuit is further configured to display the target image, receive a user input representative of a direction of motion along the simulated motion path, and display an adjacent image of the plurality of adjacent images corresponding to the direction of motion. Accordingly, the user can observe the target image in its spatial context by scanning through the target image and one or more adjacent images on the display as if the ultrasound transducer were being scanned along the simulated motion path.

Abstract: A system for recording ultrasound images comprises a memory comprising instruction data representing a set of instructions and a processor configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to receive a data stream of two dimensional images taken using an ultrasound transducer and determine from the data stream that a feature of interest is in view of the transducer. The set of instructions further cause the processor to trigger an alert to be sent to a user to indicate that the feature of interest is in view of the transducer, and send an instruction to the transducer to trigger the transducer to capture a three dimensional ultrasound image after a predetermined time interval.

Abstract: The invention provides for a medical imaging system (700) comprising: a memory (734) for storing machine executable instructions (740), a display (732) for rendering a user interface (800), and a processor (730). Execution of the machine executable instructions causes the processor to receive (1000) three dimensional medical image data (746) descriptive of a region of interest (709) of a subject (718). The region of interest comprises a spine (200). Execution of the machine executable instructions further causes the processor to receive (1002) a set of spinal coordinate systems (748) each descriptive of a location and an orientation of spinal vertebrae in the three dimensional medical image data. The set of spinal coordinate systems further comprises a set of spine centerline positions (102) each positioned on a spine centerline (108).

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: Iterative material decomposition of multispectral image data includes providing a plurality of spectral images of a region of interest comprising a body part and a plurality of sets of material coefficients for a plurality of materials. Each spectral image is decomposed into a plurality of material images and an offset image. At least one of the material images for each spectral image is manipulated on the basis of at least one topological constraint relating to the body part to determine for each spectral image an updated plurality of material images and an updated offset image. A plurality of spectral images is then recomposed from the corresponding updated plurality of material images and the updated offset. Intensities at image locations are compared, and the updated plurality of material images is modified. The steps are repeated until convergence, and at least one of the recomposed spectral images at convergence is output.

Abstract: There is provided a computer implemented method (200) for medical image processing. The method comprises providing (202) a database of medical images and providing (204) an initial machine learning model which is trained for segmenting or classifying a medical feature in the medical images. The method also comprises extracting (206) a subset of medical images from the database based on a similarity score of the medical images and training (208) the machine learning model using the extracted subset of medical images in order to provide a refined machine learning model.

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: The invention relates to an apparatus configured to display an aortic valve image and an indicator when the aortic valve is in its open-state and/or when the valve is in its closed-state. The indicator is supposed to be in an overlay to the image of the aortic valve, such that a physician can see on the same display image the information needed to advance a guide wire or catheter through the aortic valve of a heart. This may prevent damaging ensures not to damage the aortic valve. The physician receives the relevant information, when the aortic valve is in its open-state and thus being in a state to be passed by the catheter. The information, whether the aortic valve is in its open-state or in its closed-state, corresponds to the systolic phase and the distal phase of the heart, respectively. The information, when the heart is in its systolic phase and when it is in the diastolic phase may be extracted from an ECG measurement.

Abstract: The present invention is directed towards a system and method for transarterial chemoembolization using differently sized drug-eluting microsphere beads filled with drugs and determining a delivered drug concentration using an imaging system.

Abstract: The invention provides a method for guiding the acquisition of an ultrasound image. A 3D ultrasound image is acquired by an ultrasound probe at a first position and an anatomical structure is identified within the 3D ultrasound image. A target imaging plane is estimated based on the identified anatomical structure and it is determined whether the target imaging plane is present within the 3D ultrasound image. If the target imaging plane is present, a displacement between a central plane of the 3D ultrasound image and the target plane is determined. If the displacement is below a predetermined threshold, the target imaging plane is extracted and if the displacement is above the predetermined threshold, an instruction to acquire a 3D ultrasound image with the ultrasound probe at a second position, different from the first position, is generated based on the displacement. The invention further provides a method for estimating a target imaging plane.

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: A system and method for shape sensing assistance in a medical procedure includes a three-dimensional image (111) of a distributed pathway system (148). A shape sensing enabled elongated device (102) is included for insertion into the pathway system to measure a shape of the elongated device in the pathway system. A pathway determination module (144) is configured to compute a planned path to a target in the three-dimensional image and compute permissible movements of the elongated device at diverging pathways in the pathway system to provide feedback for deciding which of the diverging paths to take in accordance with the planned path.