Creation and use of a digital twin instance (DTI) for a physical instance of the part. The DTI may be created by a model inversion process such that model parameters are iterated until a convergence criterion related to a physical resonance inspection result and a digital resonance inspection result is satisfied. The DTI may then be used in relation to part evaluation including through simulated use of the part. The physical instance of the part may be evaluated by way of the DTI or the DTI may be used to generate maintenance schedules specific to the physical instance of the part.

To contribute to improved usability, an image measurement method includes selectably displaying geometric shape-related information in a measurement target, selectably displaying a measurement candidate of the measurement target based on a geometric shape corresponding to the selected geometric shape-related information (S38), and outputting a calculation result of the selected measurement candidate.

The present invention is related to improved methods for analysis of images of the vitreous and/or retina and/or choroid obtained by optical coherence tomography and to methods for making diagnoses of retinal disease based on the reflectivity profiles of various vitreous and/or retinal and/or choroidal layers of the retina.

Creation and use of a digital twin instance (DTI) for a physical instance of the part. The DTI may be created by a model inversion process such that model parameters are iterated until a convergence criterion related to a physical resonance inspection result and a digital resonance inspection result is satisfied. The DTI may then be used in relation to part evaluation including through simulated use of the part. The physical instance of the part may be evaluated by way of the DTI or the DTI may be used to generate maintenance schedules specific to the physical instance of the part.

There is provided with an image processing apparatus for measuring a flow of a measurement target based on a video. A detection line indicating a position at which the flow of the measurement target in the video is measured is set. From each of a plurality of images in the video, a plurality of partial images set in a vicinity of the detection line are extracted. The flow of the measurement target passing the detection line is measured using the partial images.

An information processing apparatus includes circuitry. The circuitry is configured to detect at least one line segment in a reference direction from a partial area of an image. The circuitry is configured to calculate an inclination of a plane including coordinates of two points included in the at least one line segment in a spherical coordinate system and a reference point of the spherical coordinate system. The circuitry is configured to correct a zenith of the image based on the inclination of the plane.

There is provided a method and apparatus for refining a model of an anatomical structure in an image. A model for the anatomical structure in the image is acquired. The model comprises a plurality of control points, each control point corresponding to a feature in the anatomical structure. The model is placed in the image with respect to the anatomical structure. Based on a user input received to adjust the model in the image, a position of at least one of the plurality of control points is adjusted to alter a shape of the model to the anatomical structure in the image, wherein adjustment of the position of one or more of the at least one control points is restricted based on information relating to the at least one control point.

The present disclosure relates to a method, performed by a processor, for processing a blood vessel image from a blood vessel image, the method comprising the steps of: extracting a target blood vessel from a blood vessel image; determining a region of interest (ROI) in an extraction result of the target blood vessel on the basis of a first input received from a user; and within the determined ROI, identifying an error portion in the extraction result on the basis of a second input received from the user, and correcting the identified error portion.

An image segmentation system is discloses that provides one or more possible contours of a feature of an image, in parallel, that respectively correspond to different interpretations of the image. First, a relatively large set of possible contours are generated in accordance with an image segmentation algorithm. Subsequently, this set of possible contours is reduced to a few candidates reflecting representative solutions corresponding to one or more desired applications.

Systems and methods for user guided iterative frame and scene segmentation are disclosed herein. The systems and methods can rely on overtraining a segmentation network on a frame. A disclosed method includes selecting a frame from a scene and generating a frame segmentation using the frame and a segmentation network. The method also includes displaying the frame and frame segmentation overlain on the frame, receiving a correction input on the frame, and training the segmentation network using the correction input. The method includes overtraining the segmentation network for the scene by iterating the above steps on the same frame or a series of frames from the scene.