A head-mounted display device including first and second display surfaces associated with first and second eyes of the user, a graphics processing unit, one or more hardware processors, and an adaptive rendering module. The adaptive rendering module is configured to identify a threshold frame time, the threshold frame time representing an upper threshold of time to render frame data by the GPU, receiving a first frame time associated with rendering a first frame to the first eye and second eye of the user, the first frame being rendered at a target resolution, determining that the first frame time exceeds the threshold frame time, and lowering the resolution below the target resolution for parts of a second frame associated with the first eye of the user while maintaining the resolution for parts of the second frame at the target resolution for images associated with the second eye of the user.

The present disclosure discloses an image display method in a CT system. The method comprises: implementing CT scanning on an inspected object, to obtain CT projection data; organizing the CT projection data according to a predetermined interval; extracting basic data from the organized CT projection data by using a fixed angle as a start angle and using 360 degrees as an interval; forming a DR image based on the extracted basic data; reconstructing a three-dimensional image of the inspected object from the CT projection data; and displaying the DR image and the reconstructed three-dimensional image on a screen at the same time. In the solution, the CT data is processed to obtain DR data. After the DR data is obtained, a DR image is obtained directly using a DR data processing algorithm. This enables an image recognizer to more accurately and more rapidly inspect goods carried by a passenger using the existing experience in image recognition of the DR image.

A method includes obtaining volumetric image data generated by an imaging system, generating an uncertainty for each voxel of the volumetric image data, and generating an evaluation volume with volumetric image data based on the generated uncertainty. The method further includes receiving an input identifying a region and/or volume of interest in the evaluation volume, receiving an intended diagnostic type, receiving an evaluation probability level of interest, and receiving an effect direction of interest. The method further includes deforming the evaluation volume to create an artificial volume that reflects an effect of the uncertainty on the intended diagnostic type based on the evaluation probability level of interest and the effect direction of interest. The method further includes visually displaying the deformed evaluation volume.

Methods are disclosed for the generation and editing of layer delineations within three-dimensional tomography scans. Cross sections of a subject are generated and presented to an operator, who has the ability to edit layer delineations within the cross section, or determine parameters used to generate new cross sections. By guiding an operator through a set of displayed cross sections, the methods can allow for a more rapid, efficient, and error-free segmentation of the subject. The cross sections can be nonplanar in shape or planar and non-axis-aligned. The cross sections can be restricted to exclude one or more user-defined regions of the subject, or to include only one or more user-defined regions of the subject. The cross sections can be localized to a point-of-interest. Iterative implementations of the methods can be used to arrive at a segmentation deemed satisfactory by the user.

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.

A method and device for providing a graphic overlay for measuring dimensions of features using a video inspection device. One or more measurement cursors are placed on pixels of an image of the object. One or more planes are determined parallel or normal to a reference surface or line and passing through surface points associated with the measurement cursors. A semi-transparent graphic overlay is placed on pixels with associated surface points having three-dimensional surface coordinates less than a predetermined distance from the plane(s) to help the user place the measurement cursors.

The invention provides, in some aspects, a system for implementing a rule derived basis to display volumetric image sets. In various embodiments of the invention, the selection of the images to be displayed, the generation of the 3-D volumetric image from measured 2-D images including the rendering parameters and styles, the choice of viewing directions and 2-D projection images based on the viewing directions, the layout of the projection images, and the formation of a video can be determined using a rule derived basis. In an embodiment of the present invention, the user is presented with sequential images making up a video displayed based on their preferences without having to first manually adjust parameters. The present invention allows for novel ways of viewing such images to detect microcalcifications and obstructions when reviewing Digital Breast Tomosynthesis and other volumetric mammography images.

The present invention discloses a medical image fusion apparatus and method. The medical image fusion apparatus comprises: a display unit configured to display a plurality of medical images in layers in one window on a screen, wherein the arrangement direction of the plurality of medical images is different from the extension direction of the plane on which each medical image exists; an operation detection unit configured to detect an operation of selecting the medical images to be fused from the plurality of medical images; and a fused image generation unit configured to generate a fused image of the medical images to be fused according to the selection operation, wherein the display unit is further configured to display the fused image in a predetermined region in the window.

An image processing system is designed to generate a canvas view that has smooth transition between binocular views and monocular views. Initially, the image processing system receives top/bottom images and side images of a scene and calculates offsets to generate synthetic side images for left and right view of a user. To realize smooth transition between binocular views and monocular views, the image processing system first warps top/bottom images onto corresponding synthetic side images to generate warped top/bottom images, which realizes the smooth transition in terms of shape. The image processing system then morphs the warped top/bottom images onto the corresponding synthetic side images to generate blended images for left and right eye views with the blended images. The image processing system creates the canvas view which has smooth transition between binocular views and monocular views in terms of image shape and color based on the blended images.

The present invention relates to a medical image processing apparatus and a medical image processing method for a medical navigation device, and more particularly, to an apparatus and method for processing an image provided when using the medical navigation device. To this end, the present invention provides a medical image processing apparatus for a medical navigation device, including: a position tracking unit configured to obtain position information of the medical navigation device within an object; a memory configured to store medical image data generated based on a medical image of the object; and a processor configured to set a region of interest (ROI) based on position information of the medical navigation device in reference to the medical image data, and generate partial medical image data corresponding to the ROI, and a medical image processing method using the same.