457 results about "Volumetric data" patented technology

A system for surgical planning and therapeutic monitoring utilizes imaging data and computer-aided detection (CAD) technology to identify cancerous tumors. A pre-treatment report identifies all volumes of interest (VOIs) and provides data regarding the size and location of each VOI as well as volumetric data for use in surgical planning. The system can be used to monitor the progress of adjuvant chemotherapy or other non-surgical treatment and measures changes in tumor size and location. Post-treatment reports provide data regarding changes in tumor size and location as well as trend data to provide guidance to the physician.

A method and apparatus are provided for transforming 3D geometric data, such as polygon data (16) formed of polygons (18), into volumetric data (14) formed of voxels (12). According to the method, 3D geometric data to be converted to voxel data are acquired, and the resolution of a final voxel grid to be produced is obtained (e.g., user-defined). Then, each geometric unit (e.g., a polygon) in the 3D geometric data is mapped (or scan converted) to an imaginary voxel grid having a higher resolution than the resolution of the final voxel grid. Next, with respect to the geometric units that are mapped to the imaginary voxels in the imaginary voxel grid dividing one final (actual) voxel into smaller sub-volumes, a weighted average of the attribute values (color, normal, intensity, etc.) is obtained. The weighted average is stored as the attribute value of the final voxel.

A medical system includes a carrier and a multiplicity of electromechanical transducers mounted to the carrier, the transducers being disposable in effective pressure-wave-transmitting contact with a patient. Energization componentry is operatively connected to a first plurality of the transducers for supplying the same with electrical signals of at least one pre-established ultrasonic frequency to produce first pressure waves in the patient. A control unit is operatively connected to the energization componentry and includes an electronic analyzer operatively connected to a second plurality of the transducers for performing electronic 3D volumetric data acquisition and imaging (which includes determining three-dimensional shapes) of internal tissue structures of the patient by analyzing signals generated by the second plurality of the transducers in response to second pressure waves produced at the internal tissue structures in response to the first pressure waves. The control unit includes phased-array signal processing circuitry for effectuating an electronic scanning of the internal tissue structures which facilitates one-dimensional (vector), 2D (planar), and 3D (volume) data acquisition. The control unit further includes circuitry for defining multiple data gathering apertures and for coherently combining structural data from the respective apertures to increase spatial resolution. When the data gathering apertures are contained in a flexible web or carrier so that the instantaneous positions of the data gathering apertures are unknown, a self-cohering algorithm is used to determine their positions so that coherent aperture combining can be performed.

A system, arrangement, computer-accessible medium and process are provided for determining information associated with at least one portion of an anatomical structure. For example, an interference between at least one first radiation associated with a radiation directed to the anatomical structure and at least one second radiation associated with a radiation directed to a reference can be detected. Three-dimensional volumetric data can be generated for the at least one portion as a function of the interference. Further, the information can be determined which is at least one geometrical characteristic and / or at least one intensity characteristic of the portion based on the volumetric data.

A computer implemented method extracts an integral histogram from sampled data, such as time series data, images, and volumetric data. First, a set of samples is acquired from a real-word signal. The set of samples is scanned in a predetermined order. For each current sample, an integral histogram integrating a histogram of the current sample and integral histograms of previously scanned samples is constructed.

A 3D volumetric display system is configured to generate 3D diagnostic displays of 3D volumetric data acquired from a patient by an imaging system in a virtual-reality environment and to permit a user to conduct diagnostic interpretation of images in the virtual-reality environment and to permit the user to interact with the 3D diagnostic displays.

A system and methods for the efficient segmentation of globally optimal surfaces representing object boundaries in volumetric datasets is provided. An optical surface detection system and methods are provided that are capable of simultaneously detecting multiple interacting surfaces in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations. The graph search applications use objective functions that incorporate non-uniform cost terms such as “on-surface” costs as well as “in-region” costs.

An ultrasound system is provided for analyzing a region of interest. The ultrasound system includes a probe for acquiring ultrasound information associated with the region of interest and a memory for storing a volumetric data set corresponding to at least a subset of the ultrasound information for at least a portion of the region of interest. The system further includes at least one processor for generating histogram information based on the volumetric data set and for generating ultrasound images based on the volumetric data set. The processor formats the histogram information and the ultrasound images to be co-displayed. The system further includes a display for simultaneously co-displaying the histogram information and the ultrasound images.

The present invention is directed to a method for automatic detection and segmentation of a target anatomical structure in received three dimensional (3D) volumetric medical images using a database of a set of volumetric images with expertly delineated anatomical structures. A 3D anatomical structure detection and segmentation module is trained offline by learning anatomical structure appearance using the set of expertly delineated anatomical structures. A received volumetric image for the anatomical structure of interest is searched online using the offline learned 3D anatomical structure detection and segmentation module.

A volume rendering process is disclosed for improving the visual quality of images produced by rendering and displaying volumetric data in voxel format for the display of three-dimensional (3D) data on a two-dimensional (2D) display with shading and opacity to control the realistic display of images rendered from the voxels. The process includes partitioning the plurality of voxels among a plurality of slices with each slice corresponding to a respective region of the volume. Each voxel includes an opacity value adjusted by applying an opacity curve to the value. The opacity value of each voxel in each cell in the volume is converted into a new visual opacity value that is used to calculate a new visual opacity gradient for only one voxel in the center of each cell. The visual opacity gradient is used to calculate the shading, used to modify the color of individual voxels based on the orientation of opacity isosurfaces passing through each voxel in the volume, in order to create a high quality, realistic image.

Method and system for 3D data editing is disclosed. A 3D volumetric data is rendered in a rendering space. A 2D graphical drawing tool is selected and used to create a 2D structure. Apply a 3D operation to the 3D volumetric data based on the 2D structure.

The invention relates to a method for precisely-positioned production of a cavity, especially a bone cavity, at a preparation point by means of a hand instrument, comprising the following steps: calculation of position-dependent surface characteristics from a three-dimensional data set of the surface of the preparation point at a desired position of an implant which is to be inserted in said cavity, wherein the area in which the cavity is to be created is represented in the form of a three-dimensional data set of volume data; detection of at least one partial cut-out of the preparation point comprising an actual visible surface feature by means of a camera which is arranged on the hand instrument at a pre-defined distance to a processing tool and display as a video image; insertion of a calculated surface characteristic for the desired position of the hand instrument, wherein the inserted surface characteristic can be altered, especially made congruent with respect to its position in relation to the actual visible surface characteristic by modifying the position and the inclination of the hand instrument.

This document discusses, among other things, systems and methods for efficiently using surface data to calculate a characteristic path of a virtual three-dimensional object. A surface mesh is constructed using segmented volumetric data representing the object. Geodesic distance from a reference point is calculated for each shape element in the surface mesh. The geodesic distance values are used to produce rings. Ring centroids are computed and connected to form the characteristic path, which is optionally pruned and smoothed.

A method for three dimensional (3D) segmentation of an object is provided. The method obtains a volumetric data set containing object data and non-object data in proximity to the object data, the object data having a reference axis extending through the object data. The method defines at least one reference slice and multiple object slices within the volumetric data set, the reference slice and the object slices intersecting one another along the reference axis and containing the reference axis. Reference points are determined within the reference slice at edges of the object data. With reference points determined, the method generates an estimated contour extended through the reference and object slices based on the reference points, the estimated contour intersecting the object slices to define estimated contour points. The method then adjusts the estimated contour points until corresponding substantially to actual contour points of the object data.