A system for processing image data from computed tomography scans has: a first detection device capable of being activated prior to an antitumor treatment on a patient and configured to perform a standard computed tomography scan on the patient to obtain first image data; a second detection device capable of being activated intraoperatively at the end of the patient's antitumor treatment and configured to perform a cone-beam computed tomography scan to obtain second image data; a processing unit, in data communication with the first device and the second device and configured to process the first image data and the second image data, thereby providing a graphic comparison between a tumor mass prior to the antitumor treatment and a necrotic area after the antitumor treatment. A corresponding method for processing image data from computed tomography scans is also described.

A method can include registering a first image of a region to a three-dimensional (3D) point set of the region to generate a registered first image, registering a second image of the region to the 3D point set to generate a registered second image, identifying, based on the 3D point set, geometric tie points of the registered first image and the registered second image, projecting, using an affine transformation determined based on the identified geometric tie points, pixels of the registered first image to an image space of the registered second image to generate a registered and transformed first image, and displaying the registered and transformed first image and the registered second image simultaneously.

A method of structural masking for progressive health monitoring of a structural component includes receiving a current image of the structural component. A processor aligns the current image and a reference image of the structural component. The processor performs a structure estimation on the current image and the reference image to produce a current structure estimate image and a reference structure estimate image. The processor generates a structural mask from the reference structure estimate image. The processor masks the current structure estimate image with the structural mask to identify one or more health monitoring analysis regions including a potential defect or damaged area appearing in the masked current structure estimate image that does not appear in the reference structure estimate image.

A computer-implemented method for motion compensation of medical imaging data includes estimating, via a processor, non-periodic motion of a myocardium of a heart due to respiration and/or other body movements throughout a positron emission tomography (PET) scan based on list-mode emission data acquired during the PET scan of the heart of a subject. The method also includes performing, via the processor, event-by-event motion-corrected list-mode reconstruction on the list-mode emission data to generate cardiac images with the non-periodic motion removed.

Disclosed herein, inter alia, are methods and systems of image analysis useful for identifying and/or quantifying features in patterns.

The present invention is generally directed to systems and methods for preparing and producing a custom-fitted face mask, including, as non-limiting examples, a CPAP nasal mask and a CPAP full face mask. At least one embodiment of the invention utilizes infrared (IR) lasers, such as, for example, those found on smartphone cameras, in order to generate a 3D point cloud model of an individual's face. This point cloud model is then used to produce a custom face mask cushion, which is used to customize a generic face mask to conform to the user's specific facial geometry.

A method and system for generating synthetic images for use in a database is described. The database is used for delineation of features in real images, the method comprising the steps of: providing a delineated image acquired using a first scanner, defining a model related to the generation of synthetic images using a second scanner, processing the delineated image using the model to generate a synthetic image, mapping contours to the synthetic image to form a synthetic image-contour pair; repeating providing, defining and processing steps to generate a plurality of synthetic images and contour pairs for the database; using said database of synthetic images and contour pairs to optimise a contouring algorithm, where the optimised algorithm generates contours for the real images of the same type as the synthetic images; processing one or more further real images to contour and delineate features on the further real image using the algorithm.

A system and method of generating a two-dimensional (2D) image of an environment is provided. The system includes a 2D scanner having a controller that determines a distance value to at least one of the object points. One or more processors are operably coupled to the 2D scanner, the one or more processors being responsive to nontransitory executable instructions for generating a plurality of 2D submaps of the environment based at least in part on the distance value, each submap generated from a different point in the environment. A map editor is provided that is configured to: select a subset of submaps from the plurality of 2D submaps; and generate the 2D image of the environment using the subset of 2D submaps. The method provides for realigning of 2D submaps to improve the quality of a global 2D map.

There is provided an image processing apparatus and an image processing method, both which are to make it possible to reduce overhead in a case in which a highly precise predicted image is generated on the basis of motion vectors. A prediction unit generates a predicted image by performing motion compensation on a reference image in one mode among a translation mode in which the motion compensation is performed by translation, an affine transformation mode in which the motion compensation is performed by an affine transformation, a translation-rotation mode in which the motion compensation is performed by translation and rotation, and a translation-scaling mode in which the motion compensation is performed by translation and scaling. The present disclosure may be applied to an image encoding apparatus, for example.

In implementations of context-based copy-paste systems, a computing device implements a context system to receive input data describing a selection of a vector object. The context system detects vicinity vector objects based on a bounding box of the vector object and bounding boxes of the vicinity vector objects. A transformation is identified based on similarities between the vicinity vector objects and target vector objects. The context system generates a modified vector object for display in a user interface by transforming the vector object using the transformation and reproducing the transformed vector object relative to a particular target vector object of the target vector objects.