An ultrasound imaging apparatus (10) for segmenting an anatomical object in a field of view (29) of an ultrasound acquisition unit (14) is disclosed. The ultrasound imaging apparatus comprises a data interface (32) configured to receive a two-dimensional ultrasound data (30) of the object in the field of view in an image plane from the ultrasound acquisition unit and to receive a three-dimensional segmentation model (46) as a three-dimensional representation of the object from a segmentation unit (36). An image processor (34) is configured to determine a two-dimensional segmentation model (50) on the basis of the three-dimensional segmentation model and a segmentation plane (48), wherein the segmentation plane and an image plane of the two-dimensional ultrasound data correspond to each other. The image processor is configured to adapt a contour of the two-dimensional segmentation model to the two-dimensional ultrasound data on the basis of pattern detection and where the image processor is configured to provide annotated two-dimensional image data (42) on the basis of the two-dimensional ultrasound data and the adapted segmentation model aligned to the two-dimensional ultrasound data.

A system includes a probe configured to transmit ultrasound signals directed to a target blood vessel and receive echo information associated with the transmitted ultrasound signals. The system also includes at least one processing device configured to process the received echo information and generating a three-dimensional ultrasound image of the target blood vessel; obtain a three-dimensional vascular model corresponding to the target blood vessel; identify a best-fit of the three-dimensional vascular model onto the three-dimensional target image; store the best fit of the three-dimensional vascular model as a segmentation result; and calculate, based on the segmentation result, measurements for the target blood vessel.

A system and method generates a rule set. The method being performed by a rule generating device includes receiving a plurality of previously generated reports where each of the previously generated reports includes respective analysis content of a respective image. The method includes generating a candidate rule based upon the analysis content where the candidate rule is configured to increase a quality assurance of future reports. The method includes generating a respective score for each candidate rule based upon the candidate rule and the previously generated reports. The method includes including the candidate rule into the rule set when the score is above a predetermined threshold.

On the basis of voxel data for a plurality of voxels constituting a set of ultrasound volume data, a voxel group identifying unit 50 identifies, in said ultrasound volume data, one or more voxel groups formed by a plurality of voxels in which voxel data satisfy a condition of being linked. On the basis of the voxel data for a plurality of voxels corresponding to each voxel group to be displayed, from among the one or more identified voxel groups, an image forming unit 80 forms an ultrasound image in which the voxel groups to be displayed are indicated clearly in a selective manner. It is thus possible for a three-dimensional image to be formed in such a way that one part of the image, such as floating matter in the amniotic fluid, does not interfere with another part of the image, such as a fetus.

A method is provided for calculating a region of interest in a second image using an initial region of interest in a first image. The first and second images are linked by a spatial transformation function. The method includes steps of (i) generating a first polygonal mesh enclosing the initial region of interest in the first image; (ii) computing a second polygonal mesh in the second image by applying the spatial transformation function to the first polygonal mesh, and (iii) identifying image elements within the second image, that belong to the area enclosed by the second polygonal mesh. Also provided are a computer program and a system.

A technique is disclosed for helping prevent image quality of a three-dimensional image from becoming poor due to fluctuations in the rotation speed of an imaging core. For this purpose, if data is obtained from the imaging core by moving and rotating the imaging core, a cross-sectional image is generated at each movement position. Then, a direction where a guidewire is present in each of the cross-sectional images is detected. An angular difference between the direction of the detected guidewire and a preset direction is obtained so as to rotate each of the cross-sectional images in accordance with the angular difference. Then, the cross-sectional images which are previously rotated in this way are connected to one another, thereby generating the three-dimensional image.

A method for computing patient-specific hemodynamics. The method includes receiving three dimensional imaging data of a patent, extracting anatomical data from the three dimensional imaging data, calculating velocity and pressure fields corresponding to the extracted anatomical data, and calculating displacement and velocity of extracted solid particles corresponding to the anatomical data. The anatomical data comprises an anatomical boundary.

The invention relates to a method and a device for processing a volumetric image record. The method comprises the following steps: carrying out a non-optical image scanning method on an object to be analysed and generating a volumetric image record and extracting the object contour from the volumetric image record in order to determine the position of the object surface; defining an object surface point and a surrounding area for said object surface point and analysing the grey tones within the surrounding area; calculating a quality value, which reflects the localised quality of the surface, for the object surface point on the basis of the grey-tone analysis. The device comprises equipment for carrying out the method.

An ultrasound diagnostic apparatus includes an ultrasound image acquirer, an evaluation target determiner, a disease progression score calculator, a selector, and a display controller. The ultrasound image acquirer acquires ultrasound image signals of a plurality of frames. The evaluation target determiner analyzes the ultrasound image signal of each frame and determines the frame to be an evaluation target frame when the ultrasound image signal includes a target image section depicting a joint. The disease progression score calculator calculates, for each evaluation target frame, a disease progression score quantifying disease activity using an ultrasound image signal of the target image section included in the ultrasound image signal of the evaluation target frame. The selector selects at least one disease progression score in accordance with a predetermined numerical process. The display controller controls the display to display the selected disease progression score and an ultrasound image of a corresponding frame.

An image processing apparatus comprising: a division unit configured to divide, into a plurality of partial regions, a region of interest obtained from each of cross sections of a first image and a second image; a statistic information calculation unit configured to calculate statistic information of pixels included in the partial region; a degree-of-coincidence calculation unit configured to calculate a degree of coincidence between the pieces of statistic information for a partial region in the first image and a partial region in a pair of cross-sectional positions in the first image and the second image; and a specifying unit configured to specify positions of corresponding cross sections between the first image and the second image based on comparison between evaluation values each obtained by integrating the degrees of coincidence over all of the plurality of partial regions.