A computer-implemented system and method for predicting male sex human offspring to result from a human embryo by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.

Provided is a technology for extracting an image of a target plane from 2D or 3D image data acquired by a medical imaging apparatus with a small amount of computation and at high speed. A plane of a target plane including a predetermined structure is extracted from image data of a subject. A region of the predetermined structure included in the plane is detected by applying a learning model learned using learning data including a target plane for learning including an image of the structure and a region-of-interest plane for learning obtained by cutting out and enlarging a partial region including the structure in the target plane for learning to a plurality of planes obtained from the image data, and the plane of the target plane is extracted based on the detected region of the predetermined structure.

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 ultrasound diagnosis apparatus includes a display configured to display a mid-sagittal plane (MSP) image corresponding to the MSP of a head of an object, and an image processor configured to determine a measurement plane based on the MSP and generate a measurement plane image corresponding to the measurement plane. The display is further configured to display the measurement plane image with the MSP image.

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. This is achieved by providing an ultrasound imaging system comprising: an ultrasound probe having an ultrasound transducer array operable to acquire at different look directions a plurality of three dimensional (3D) ultrasound image frames of a volumetric region comprising a fetus; a compound image memory for storing the acquired plurality of the 3D ultrasound image frames and an articulated fetal model with a common fetal structure; an ultrasound image processor responsive to the plurality of 3D ultrasound image frames, said processor comprising a fetal segmentation unit arranged to segment each 3D image frame based on the articulated fetal model thereby providing a plurality of spatially related 3D images of the volumetric region; and an image quality analyzer coupled to the segmentation unit and arranged to determine, based on the articulated fetal model, an overall confidence value of the plurality of the 3D images, said image quality analyzer is further arranged to compare the overall confidence value with an image compounding threshold.

Disclosed are systems, devices, and methods for detecting characteristics of an unhatched egg. A set of images of an unhatched egg are obtained, where each of the spectral images is obtained in a particular wavelength range. The set of images is processed to extract image features, where the image features includes an image texture feature. The extracted image features are processed to classify the unhatched egg according to at least one characteristic. The at least one characteristic may include fertility and/or gender.

Systems and methods are provided for provided for automatic evaluation of a human embryo. An image of the embryo is obtained and provided to a neural network to generate a plurality of values representing the morphology of the embryo. The plurality of values representing the morphology of the embryo are evaluated at an expert system to provide an output class representing one of a current quality of the embryo, a future quality of the embryo, a likelihood that implantation of the embryo will be successful, and a likelihood that implantation of the embryo will result in a live birth.

An ultrasound image processing apparatus (16) is disclosed comprising a processor arrangement (46, 50) adapted to receive a temporal sequence (15) of ultrasound images (150) of at least a chest region (151) of a fetal entity (62) from an ultrasound probe (14), said chest region including the fetal heart (171), said temporal sequence capturing at least part of a cardiac cycle of the fetal heart; identify the chest region of the fetal entity in one or more of the ultrasound images of said temporal sequence; identify a portion of the spine in the identified chest region; calculate an orientation axis (160) of the fetal chest from the identified chest region and the identified spine portion; identify the septum of the fetal heart as a linear structure which is temporally more stable than its surrounding structures in said temporal sequence of ultrasound images and which defines a region of convergence of the movements of the fetal heart during said cardiac cycle; calculate an orientation axis (170) of the fetal heart from the identified septum; and calculate an angle (θ) between the orientation axis of the fetal chest and the orientation axis of the fetal heart. Also disclosed are an ultrasound imaging system comprising such an ultrasound image processing apparatus, a computer-implemented method of visualizing an orientation of the heart of a fetal entity within said entity and a computer program product for implementing such a method.

The present disclosure describes imaging systems configured to generate volumetric images of a target feature based on anatomical landmarks identified during an ultrasound scan and in accordance with a user-selected view. Systems can include an ultrasound transducer configured to acquire echo signals responsive to ultrasound pulses transmitted toward a target region. A processor coupled with the transducer may present illustrative volumetric images of the target feature, each image corresponding to a particular view, for a user to select. The processor can then identify anatomical landmarks corresponding to the target feature embodied within 2D image frames, and based on the identified landmarks and user-selected view, provide instructions for manipulating the transducer to a target local to generate a 2D image frame specific to the view. Echo signals are then acquired at the target locale and used to generate an actual volumetric image of the target feature corresponding to the user-selected view.

Techniques for rendering a 3D virtual object in an augmented-reality system are described. A system, a method, and a non-transitory memory device for augmented reality rendering of three-dimensional, virtual objects are described. In an example, a number of images of an environment are acquired; relative movement of a camera acquiring the number of images is tracked; camera pose is determined relative to the environment using the number of images and tracked relative movement of the camera; depth and normal surfaces of objects in the environment are estimated using a depth map and a normal map; a surface geometry of the environment is reconstructed using the depth map and the normal map; and the virtual object is rendered using the surface geometry of the environment.