An analysis apparatus includes a two-dimensional photographing unit 20, a three-dimensional photographing unit 30, and a computer 50 serving as an analysis unit. The two-dimensional photographing unit 20 two-dimensionally photographs a sample, to acquire a two-dimensional image D2. The three-dimensional photographing unit 30 three-dimensionally photographs the sample to acquire a three-dimensional image D3. The computer 50 analyzes the two-dimensional image D2 and outputs a two-dimensional analysis result R2, first. Subsequently, the computer 50 analyzes the three-dimensional image D3 and outputs a three-dimensional analysis result R3. At that time, the computer 50 analyzes the three-dimensional image D3 using an indicator included in the two-dimensional analysis result R2. This can improve the accuracy of the three-dimensional analysis result R3. Consequently, a more accurate analysis result of the sample can be acquired than that acquired in a case in which either two-dimensional photographing or three-dimensional photographing is performed solely.

A computer implemented method is provided for processing a 3D fetal ultrasound image. A 3D fetal ultrasound image is obtained (either acquired or received from memory), and the spine is detected within the image. This enables a first reference axis to be defined. A second reference axis is defined perpendicular to the first reference axis, and the 3D fetal ultrasound image is updated (e.g. rotated in 3D space) using the first and second reference axes and an up/down (elevation) orientation detection. This provides a normalization of the orientation of the image, so that a machine learning approach is better able to identify landmarks within new images.

Methods and apparatus for analyzing embryonic development images. The method comprises obtaining a plurality of embryonic development images captured in a time series, determining, for at least one of the plurality of embryonic development images, a time series of evaluation values for each of a plurality of evaluation items associated with the plurality of embryonic development images, and evaluating a characteristic of cells represented in one or more of the plurality of embryonic development images based, at least in part, on the time series of evaluation values for the plurality of evaluation items.

There is provided a computer system for evaluating the quality of a fertile ovum. The computer system includes computer processing circuitry configured to receive a plurality of images of a fertile ovum captured in time-series by an imaging apparatus, provide as input to at least one learned model, the plurality of images of the fertile ovum or information based on the plurality of images of the fertile ovum, wherein the at least one learned model has been trained to output, based at least in part, on the plurality of images, fertile ovum analysis information describing characteristics of the fertile ovum used to evaluate a quality of fertile ovum, and provide evaluation support information based, at least in part, on the fertile ovum analysis information, wherein the evaluation support information enables a quality evaluator to interact with the web dashboard to modify at least some of the evaluation support information.

The invention provides for a method for switching between fields of view of an ultrasound probe. The method begins by obtaining an anatomical model representing a region of interest of a subject and establishing a first field of view relative to an ultrasonic probe, wherein the first field of view comprises an initial portion of the region of interest. Ultrasound data is then obtained from the first field of view by way of the ultrasonic probe and a first anatomical feature is identified within the first field of view based on the ultrasound data. A location in digital space of the first field of view relative to the anatomical model is determined based on the first anatomical feature. A second field of view is then established based on the anatomical model and the first field of view, wherein the first field of view functions as a reference field of view. The field of view is then switched from the first field of view to the second field of view.

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.

Systems and methods of predicting future medical events are based on the processing of medical image. The prediction of premature birth and estimation of gestational age based on ultrasound images are presented as illustrative examples. The new abilities to estimate the probability of future medical events, before they otherwise could be predicted, provides new avenues for the development of preventative treatments.

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.

The disclosure relates to methods and systems for detecting the orientation of an oocyte and its polar body. Examples include an automated method for detection of an orientation of an oocyte, the method including: i) acquiring an image of the oocyte; ii) defining first and second elliptical features in the image based on edges detected in the image; iii) calculating an orientation of the second elliptical feature relative to the first elliptical feature; and iv) outputting a relative orientation of a polar body of the oocyte based on the orientation of the second elliptical feature relative to the first elliptical feature.

A method for display processing of 3D image data includes obtaining 3D volume data of the head of a target body; detecting a transverse section at an anatomical position from the 3D volume data according to image characteristic of the head of the target body in a transverse section related to the anatomical position; and displaying the transverse section.