Abstract: Embodiments of the present disclosure are directed to methods and computer systems for converting datasets into three-dimensional (“3D”) mesh surface visualization, displaying the mesh surface on a computer display, comparing two three-dimensional mesh surface structures by blending two primary different primary colors to create a secondary color, and computing the distance between two three-dimensional mesh surface structures converted from two closely-matched datasets. For qualitative analysis, the system includes a three-dimensional structure comparison control engine that is configured to convert dataset with three-dimensional structure into three-dimensional surfaces with mesh surface visualization. The control engine is also configured to assign color and translucency value to the three-dimensional surface for the user to do qualitative comparison analysis. For quantitative analysis, the control engine is configured to compute the distance field between two closely-matched datasets.

Abstract: Embodiments of the present disclosure are directed to methods and computer systems for converting datasets into three-dimensional (“3D”) mesh surface visualization, displaying the mesh surface on a computer display, comparing two three-dimensional mesh surface structures by blending two primary different primary colors to create a secondary color, and computing the distance between two three-dimensional mesh surface structures converted from two closely-matched datasets. For qualitative analysis, the system includes a three-dimensional structure comparison control engine that is configured to convert dataset with three-dimensional structure into three-dimensional surfaces with mesh surface visualization. The control engine is also configured to assign color and translucency value to the three-dimensional surface for the user to do qualitative comparison analysis. For quantitative analysis, the control engine is configured to compute the distance field between two closely-matched datasets.

Abstract: Embodiments of the present disclosure are directed to methods and computer systems for converting datasets into three-dimensional (“3D”) mesh surface visualization, displaying the mesh surface on a computer display, comparing two three-dimensional mesh surface structures by blending two primary different primary colors to create a secondary color, and computing the distance between two three-dimensional mesh surface structures converted from two closely-matched datasets. For qualitative analysis, the system includes a three-dimensional structure comparison control engine that is configured to convert dataset with three-dimensional structure into three-dimensional surfaces with mesh surface visualization. The control engine is also configured to assign color and translucency value to the three-dimensional surface for the user to do qualitative comparison analysis. For quantitative analysis, the control engine is configured to compute the distance field between two closely-matched datasets.

Abstract: Embodiments of the present disclosure are directed to methods and computer systems for converting datasets into three-dimensional (“3D”) mesh surface visualization, displaying the mesh surface on a computer display, comparing two three-dimensional mesh surface structures by blending two primary different primary colors to create a secondary color, and computing the distance between two three-dimensional mesh surface structures converted from two closely-matched datasets. For qualitative analysis, the system includes a three-dimensional structure comparison control engine that is configured to convert dataset with three-dimensional structure into three-dimensional surfaces with mesh surface visualization. The control engine is also configured to assign color and translucency value to the three-dimensional surface for the user to do qualitative comparison analysis. For quantitative analysis, the control engine is configured to compute the distance field between two closely-matched datasets.

Abstract: Embodiments of the present disclosure are directed to methods and computer systems for converting datasets into three-dimensional (“3D”) mesh surface visualization, displaying the mesh surface on a computer display, comparing two three-dimensional mesh surface structures by blending two primary different primary colors to create a secondary color, and computing the distance between two three-dimensional mesh surface structures converted from two closely-matched datasets. For qualitative analysis, the system includes a three-dimensional structure comparison control engine that is configured to convert dataset with three-dimensional structure into three-dimensional surfaces with mesh surface visualization. The control engine is also configured to assign color and translucency value to the three-dimensional surface for the user to do qualitative comparison analysis. For quantitative analysis, the control engine is configured to compute the distance field between two closely-matched datasets.

Abstract: A method for patient setup includes: obtaining a first two-dimensional movie having a first plurality of image frames; obtaining a first plurality of two-dimensional images; and displaying the first plurality of two-dimensional images together with the image frames from the first two-dimensional movie in an overlay configuration and in a synchronized manner, wherein the act of displaying is performed during a patient setup procedure. A method for patient setup includes: obtaining a plurality of three-dimensional images; obtaining a first two-dimensional movie having a first plurality of image frames; determining a first plurality of two-dimensional images from the plurality of three-dimensional images; and displaying the first plurality of two-dimensional images together with the image frames from the first two-dimensional movie in an overlay configuration and in a synchronized manner, wherein the act of displaying is performed during a patient setup procedure.

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 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: An apparatus includes: a structure for coupling to a patient; a plurality of reflective markers coupled to the structure, wherein the reflective markers are configured to reflect non-visible light; and a securing mechanism configured to secure the structure relative to the patient. An apparatus includes: a first light source configured to project a first structured light onto an object, wherein the first structured light is non-visible; a first camera configured to obtain a first image of the first structured light as projected onto the object; a second camera configured to obtain a second image of the first structured light as projected onto the object; and a processing unit configured to process the first and second images from the first camera and the second camera; wherein the first camera and the second camera are configured for non-visible light detection.

Abstract: Embodiments of the present disclosure are directed to methods and computer systems for converting datasets into three-dimensional (“3D”) mesh surface visualization, displaying the mesh surface on a computer display, comparing two three-dimensional mesh surface structures by blending two primary different primary colors to create a secondary color, and computing the distance between two three-dimensional mesh surface structures converted from two closely-matched datasets. For qualitative analysis, the system includes a three-dimensional structure comparison control engine that is configured to convert dataset with three-dimensional structure into three-dimensional surfaces with mesh surface visualization. The control engine is also configured to assign color and translucency value to the three-dimensional surface for the user to do qualitative comparison analysis. For quantitative analysis, the control engine is configured to compute the distance field between two closely-matched datasets.

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: In one embodiment of the invention, a method for obtaining a tomogram of an anatomical structure is disclosed. In one step, an anatomical structure is scanned using a scanning source and a scanning detector. Both the scanning source and detector are connected to a gantry. In another step, the speed of the gantry is altered during the scanning process. Additionally or optionally the frame rate of the scan can be modified in such step. In a particular embodiment of the invention, the speed of the gantry is altered in synchronicity with the respiratory signal of a patient. Using such a method, a tomogram of an anatomical structure is obtained.

Abstract: An apparatus for patient position or motion monitoring includes: an energy source configured to emit energy from a first location to a second location, or vice versa, wherein the second location that is moveable relative to the first location in response to a movement by a patient; and a processing unit coupled to receive an input that is based on the emitted energy, and to determine a characteristic associated with the patient based on the input.

Abstract: A method for patient setup includes: obtaining a first two-dimensional movie having a first plurality of image frames; obtaining a first plurality of two-dimensional images; and displaying the first plurality of two-dimensional images together with the image frames from the first two-dimensional movie in an overlay configuration and in a synchronized manner, wherein the act of displaying is performed during a patient setup procedure. A method for patient setup includes: obtaining a plurality of three-dimensional images; obtaining a first two-dimensional movie having a first plurality of image frames; determining a first plurality of two-dimensional images from the plurality of three-dimensional images; and displaying the first plurality of two-dimensional images together with the image frames from the first two-dimensional movie in an overlay configuration and in a synchronized manner, wherein the act of displaying is performed during a patient setup procedure.

Abstract: Embodiments of the claimed subject matter provide a radiation therapy system for the acquisition of volumetric imaging with advanced trajectories. Embodiments include a device for applying diagnostic and therapeutic radiation to a target volume disposed in a patient subject, wherein volumetric imaging is acquired with advanced trajectories without displacing the patient subject. In one embodiment, a radiation therapy device is provided comprising: a gantry with a radiation source and a plurality of independent robotic arms mounted to the gantry, wherein an X-ray source is attached to an end of one robotic arm; and an imager attached to an end of another second robotic arm.

Abstract: Embodiments of the present disclosure are directed to methods and computer systems for converting datasets into three-dimensional (“3D”) mesh surface visualization, displaying the mesh surface on a computer display, comparing two three-dimensional mesh surface structures by blending two primary different primary colors to create a secondary color, and computing the distance between two three-dimensional mesh surface structures converted from two closely-matched datasets. For qualitative analysis, the system includes a three-dimensional structure comparison control engine that is configured to convert dataset with three-dimensional structure into three-dimensional surfaces with mesh surface visualization. The control engine is also configured to assign color and translucency value to the three-dimensional surface for the user to do qualitative comparison analysis. For quantitative analysis, the control engine is configured to compute the distance field between two closely-matched datasets.

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: In a method of verifying patient identity, an image of an individual who is to receive radiotherapy is obtained and compared with a reference image of a patient to whom the radiotherapy is intended. Confirmation or negation of the individual to be the patient intended can be made based on the comparison of the image of the individual with the reference image of the patient.

Abstract: A method of obtaining a volumetric image includes obtaining a plurality of volumetric images, the volumetric images generated using respective sets of projection images, wherein the volumetric images and the respective sets of projection images correspond with different respective bins for a physiological cycle, and determining an additional volumetric image using one or more of the projection images from each of the sets that correspond with the different respective bins for the physiological cycle, wherein the act of determining the additional volumetric image is performed using a processor.