Abstract: Computer-implemented methods and apparati for graphically displaying deformations, said deformations defined by comparing a first image of an object (1) with a second image of the same or a different object (1). A method embodiment of the present invention comprises the steps of scanning an object (1) twice to produce first and second images; tabulating deformations and converting said tabulated deformations into a scalar property over a preselected range; quantizing the range into a set of discrete quantization intervals; assigning a unique color out of a discrete or quasi-continuous set of colors to each quantization interval to produce a color overlay; and simultaneously displaying the color overlay and a representation of at least one of the first and second images, whereby said deformations are readily viewable in color.

Abstract: An apparatus and method for determining an image similarity based on image features. In one aspect, the image similarity determination is based on an image comparison tool. The image comparison tool may be trained, by a machine-learning system, to estimate a similarity between images based on a subset of image data comprised by image features. The estimate may be an estimate of how similar structures found in the images would be following a geometric transformation of some of the structures. In one aspect, an atlas image for performing automatic segmentation of an image is determined according to a comparison made using the image comparison tool.

Abstract: A method is provided for reshaping a glass body rotating about its longitudinal axis. The method includes using a means for establishing a temperature profile, a radial forming tool and an axial forming tool. In the method, a first temperature profile is established and the glass body is reshaped by engaging the radial forming tool. Then a second temperature profile is established and the glass body is reshaped by engaging the axial forming tool.

Abstract: An apparatus and method for determining an image similarity based on image features. In one aspect, the image similarity determination is based on an image comparison tool. The image comparison tool may be trained, by a machine-learning system, to estimate a similarity between images based on a subset of image data comprised by image features. The estimate may be an estimate of how similar structures found in the images would be following a geometric transformation of some of the structures. In one aspect, an atlas image for performing automatic segmentation of an image is determined according to a comparison made using the image comparison tool.

Abstract: An apparatus and method for determining an image similarity based on image features. In one aspect, the image similarity determination is based on an image comparison tool. The image comparison tool may be trained, by a machine-learning system, to estimate a similarity between images based on a subset of image data comprised by image features. The estimate may be an estimate of how similar structures found in the images would be following a geometric transformation of some of the structures. In one aspect, an atlas image for performing automatic segmentation of an image is determined according to a comparison made using the image comparison tool.

Abstract: Embodiments of the present invention are directed to methods and a mechanism for manipulating images generated by radiotherapy machines used in radiation diagnostic and treatment applications. In one embodiment, a method is provided for intelligent automatic propagation of real-time alterations across graphical structures of an image by mapping the relativity between the structures; determining the correlation between the structures and a manually edited structure; referencing a deformation map that maps a correspondence for each point in the original structure with a point in the edited structure and applying a similar relative change throughout the remaining structures in the image.

Abstract: Embodiments of the present invention are directed to methods and a mechanism for manipulating images generated by radiotherapy machines used in radiation diagnostic and treatment applications. In one embodiment, a method is provided for intelligent automatic propagation of real-time alterations across graphical structures of an image by mapping the relativity between the structures; determining the correlation between the structures and a manually edited structure; referencing a deformation map that maps a correspondence for each point in the original structure with a point in the edited structure and applying a similar relative change throughout the remaining structures in the image.

Abstract: Embodiments of the present invention are directed to methods and a mechanism for manipulating images generated by radiotherapy machines used in radiation diagnostic and treatment applications. In one embodiment, a method is provided for intelligent automatic propagation of manual or automatic contouring across linked (e.g., registered) images and image data sets by acquiring one or more images of one or more image data sets; determining the correlation between the images with respect to identified structures; and generating a deformation map that establishes a correspondence for each point in the source image with a point in the target image. Subsequently, the intelligent propagation mechanism applies this deformation map individually to each structure of the source image and propagates the deformed structure to the target image.

Abstract: A method, system, and article of manufacture are described for interactive control of multiple images with a high dynamic range that are displayed simultaneously. A medical image control engine provides several synchronous functional capabilities, which comprises an input module, a blending factor synchronization module, a window/level synchronization module, a display module, and an image storage. For window/level adjustment of two images in blended views, the blending factor synchronization module is configured to automatically link the activation of a window/level control of one image with a transparency blending factor that affects both images. For synchronization of window/level adjustments of two or more images, a window/level synchronization module is configured to automatically change window/level parameters of all remaining images when the user makes an adjustment to a window/level control of one image such that all images with updated window/level parameters are displayed simultaneously.

Abstract: Computer-implemented methods and apparati for graphically displaying deformations, said deformations defined by comparing a first image of an object (1) with a second image of the same or a different object (1). A method embodiment of the present invention comprises the steps of scanning an object (1) twice to produce first and second images; tabulating deformations and converting said tabulated deformations into a scalar property over a preselected range; quantizing the range into a set of discrete quantization intervals; assigning a unique color out of a discrete or quasi-continuous set of colors to each quantization interval to produce a color overlay; and simultaneously displaying the color overlay and a representation of at least one of the first and second images, whereby said deformations are readily viewable in color.

Abstract: Embodiments of the present invention are directed to methods and a mechanism for manipulating images generated by radiotherapy machines used in radiation diagnostic and treatment applications. In one embodiment, a method is provided for intelligent automatic propagation of manual or automatic contouring across linked (e.g., registered) images and image data sets by acquiring one or more images of one or more image data sets; determining the correlation between the images with respect to identified structures; and generating a deformation map that establishes a correspondence for each point in the source image with a point in the target image. Subsequently, the intelligent propagation mechanism applies this deformation map individually to each structure of the source image and propagates the deformed structure to the target image.

Abstract: Embodiments of the present invention are directed to methods and a mechanism for manipulating images generated by radiotherapy machines used in radiation diagnostic and treatment applications. In one embodiment, a method is provided for intelligent automatic propagation of real-time alterations across graphical structures of an image by mapping the relativity between the structures; determining the correlation between the structures and a manually edited structure; referencing a deformation map that maps a correspondence for each point in the original structure with a point in the edited structure and applying a similar relative change throughout the remaining structures in the image.

Abstract: A system encodes videos acquired of a moving object in a scene by multiple fixed cameras. Camera calibration data of each camera are first determined. The camera calibration data of each camera are associated with the corresponding video. A segmentation mask for each frame of each video is determined. The segmentation mask identifies only foreground pixels in the frame associated with the object. A shape encoder then encodes the segmentation masks, a position encoder encodes a position of each pixel, and a color encoder encodes a color of each pixel. The encoded data can be combined into a single bitstream and transferred to a decoder. At the decoder, the bitstream is decoded to an output video having an arbitrary user selected viewpoint. A dynamic 3D point model defines a geometry of the moving object. Splat sizes and surface normals used during the rendering can be explicitly determined by the encoder, or explicitly by the decoder.