Using computer-assisted classification and/or computer-assisted segmentation with or without monitoring the field of view for change, the workflow for ultrasound imaging may be made more efficient. The classification and/or segmentation is used to perform a next act in the sequence of acts making up the ultrasound examination. Rather than requiring a user to determine the act and implement the act, the ultrasound scanner determines and implements the act based on the identification and/or location of an imaged object. For example, the identification of the object as a kidney using a machine-learnt classifier triggers a color flow scan, and the location of the object determines a placement for the color flow region of interest (ROI), avoiding the user having to perform the ROI initiation and/or placement and increasing workflow efficiency.

An image processing apparatus includes: an obtaining unit configured to obtain three-dimensional image data and positions of a plurality of feature points in the three-dimensional image data; a designation unit configured to designate a designation point indicating a portion of interest in the three-dimensional image data; a selection unit configured to select, using information determined by a position of the designation point and the positions of the plurality of feature points, a feature point from the plurality of feature points; a generation unit configured to generate, from the three-dimensional image data, a cross section image on a plane determined based on the position of the designation point and a position of the selected feature point; and a display control unit configured to cause a display unit to display the generated cross section image.

Mechanisms are provided for determining a measure of radiodensity of anatomical structures of interest and classifying medical imaging study data structures (studies) with regard to contrast phase. In some embodiments, this classification may be used to select/exclude slices for processing by other downstream computing systems. A subset of slices are selected from the study and, for each slice in the subset, a corresponding body part regression (BPR) score is determined. A linear regression on the BPR scores is performed and a representative slice is selected based on results of the linear regression. The representative slice is segmented and a statistical measure of a radiodensity metric for each segment in the representative slice is determined.

An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to generate, from three-dimensional medical image data, a first cross-sectional image and a second cross-sectional image intersecting the first cross-sectional image and is configured to change display locations of the first cross-sectional image and the second cross-sectional image on a display, in conjunction with a change in an intersecting location of the first and the second cross-sectional images.

An ultrasound imaging apparatus is configurable for acquiring a two-dimensional, flat image of a curved region (206) within a curved plane. The apparatus includes a transducer array for imaging the region; a processor for localizing the region with respect to the transducer array; and a processor for operating the transducer array for the imaging of the region and for projecting the region onto a two-dimensional (2D), flat image plane. Alternatively or in addition, an ultrasound imaging apparatus configurable for acquiring a 2D, flat image of a curved region within a curved plane includes a transducer array for imaging the region, the array having a face and transducer elements (142); a module for extracting a centerline of a curved object that contains the curved region; and a processor for: projecting the centerline (254) onto the face of the array;selecting, from among the elements, a set along the projection onto the face;receive beamforming, specifically using the set, to image the curved region and thereby acquire a curved image; and projecting the curved region onto a 2D, flat image plane.

A plurality of ultrasound frames of a fetus are acquired using an ultrasound scanner, which may be oriented arbitrarily with respect to the fetus during the acquisition. The ultrasound frames are processed against an artificial intelligence model to predict a different cut line on each of the ultrasound frames. Each cut line is predicted to be exterior to an image of the fetus appearing on the ultrasound frame. The different cut lines on the plurality of ultrasound frames are then used to identify ultrasound data in the image frames to generate a 3D representation of the fetus.

The present invention relates to a device for displaying image information, the device comprising: a detection unit (10), which is configured to identify a plurality of admissible display orientations of multiple data sets; a restriction unit (20), which is configured to restrict the plurality of admissible display orientations of at least one of the multiple data sets to a set of admissible display orientations in common for all the multiple data sets; and/or to restrict a plurality of admissible scrolling directions of at least one of the multiple data sets to a set of admissible scrolling directions that are normal to the restricted admissible display orientations; and a display unit (30), which is configured to display the multiple data sets using the set of the restricted display orientations and/or the set of restricted scrolling directions.

Disclosed is a method of changing at least one of a direction and position of a plane selection line for acquiring an image of a plane of interest of an object. The method includes acquiring a medical image of an object, displaying a first plane image acquired along a first plane selection line of the medical image, setting a pattern which is used to change at least one of the direction and position of the plane selection line, changing at least one of the direction and position of the plane selection line, based on the set pattern, and displaying a second plane image acquired along the changed plane selection line.

Disclosed is a method (100) of visualizing a sequence of 3D ultrasound images of an object (10) in motion, wherein said motion is a complex motion composed of motion components from a plurality of origins, the method comprising acquiring (120) said sequence of 3D ultra-sound images; providing (130) a motion tracking model modelling a contribution to the complex motion, said contribution originating from a subset of said motion components; determining (150) said complex motion from the first and second 3D ultrasound images; and visualizing (160) a contribution of the motion tracking model to the complex motion of said object in order to obtain a motion-decomposed visualization of said complex motion. A computer program product for implementing such a method on an ultrasound system and an ultrasound system including such a computer program product are also disclosed.

An image processing device and an image processing method that performs image interpretation as fast as possible, without oversight by an interactive operation, when performing the image interpretation of a large amount of volume data in which an interest region is set in advance are provided. The image processing device that generates a two-dimensional image from a captured three-dimensional image and displays the generated two-dimensional image receives an input signal relating to primary display control information including a speed of a display control input of the two-dimensional image, calculates the primary display control information from the input signal, calculates secondary display control information including a display speed of the two-dimensional image based on information of an interest region and the primary display control information, and sequentially generates the two-dimensional images based on the secondary display control information and displays the generated two-dimensional image.