513 results about "Volumetric image" patented technology

An apparatus for analyzing a sample of biologic fluid quiescently residing within a chamber is provided. The apparatus includes a light source, a positioner, a mechanism for determining the volume of a sample field, and an image dissector. The light source is operable to illuminate a sample field of known, or ascertainable, area. The positioner is operable to selectively change the position of one of the chamber or the light source relative to the other, thereby permitting selective illumination of all regions of the sample. The mechanism for determining the volume of a sample field can determine the volume of a sample field illuminated by the light source. The image dissector is operable to convert an image of light passing through or emanating from the sample field into an electronic data format.

Some configurations of method for reconstructing a volumetric image of an object include obtaining a tomosynthesis projection dataset of an object. The method also includes utilizing the tomosynthesis projection dataset and additional information about the object to minimize a selected energy function or functions to satisfy a selected set of constraints. Alternatively, constraints are applied to a reconstructed volumetric image in order to obtain an updated volumetric image. A 3D volume representative of the imaged object is thereby obtained in which each voxel is reconstructed and a correspondence indicated to a single one of the component material classes.

Systems and methods for image segmentation in generating computer models of a joint to undergo arthroplasty are disclosed. Some embodiments may include a method of partitioning an image of a bone into a plurality of regions, where the method may include obtaining a plurality of volumetric image slices of the bone, generating a plurality of spline curves associated with the bone, verifying that at least one of the plurality of spline curves follow a surface of the bone, and creating a 3D mesh representation based upon the at least one of the plurality of spline curve.

An apparatus and method for reconstructing image data for a region are described. A radiation source and multiple one-dimensional linear or two-dimensional planar area detector arrays located on opposed sides of a region angled generally along a circle centered at the radiation source are used to generate scan data for the region from a plurality of diverging radiation beams, i.e., a fan beam or cone beam. Individual pixels on the discreet detector arrays from the scan data for the region are reprojected onto a new single virtual detector array along a continuous equiangular arc or cylinder or equilinear line or plane prior to filtering and backprojecting to reconstruct the image data.

A surgical navigation system has a computer with a memory and display connected to a surgical instrument or pointer and position tracking system, so that the location and orientation of the pointer are tracked in real time and conveyed to the computer. The computer memory is loaded with data from an MRI, CT, or other volumetric scan of a patient, and this data is utilized to dynamically display 3-dimensional perspective images in real time of the patient's anatomy from the viewpoint of the pointer. The images are segmented and displayed in color to highlight selected anatomical features and to allow the viewer to see beyond obscuring surfaces and structures. The displayed image tracks the movement of the instrument during surgical procedures. The instrument may include an imaging device such as an endoscope or ultrasound transducer, and the system displays also the image for this device from the same viewpoint, and enables the two images to be fused so that a combined image is displayed. The system is adapted for easy and convenient operating room use during surgical procedures.

A computer based system and method of visualizing a region using multiple image data sets is provided. The method includes acquiring first volumetric image data of a region and acquiring at least second volumetric image data of the region. The first image data is generally selected such that the structural features of the region are readily visualized. At least one control point is determined in the region using an identifiable structural characteristic discernable in the first volumetric image data. The at least one control point is also located in the at least second image data of the region such that the first image data and the at least second image data can be registered to one another using the at least one control point. Once the image data sets are registered, the registered first image data and at least second image data can be fused into a common display data set. The multiple image data sets have different and complimentary information to differentiate the structures and the functions in the region such that image segmentation algorithms and user interactive editing tools can be applied to obtain 3d spatial relations of the components in the region. Methods to correct spatial inhomogeneity in MR image data is also provided.

The invention provides a system for virtually designing a medical device conformed for use with a specific patient. Using the system, a three-dimensional geometric model of a patient-specific body cavity or lumen is reconstructed from scanned volume images such as obtained x-rays, magnetic resonance imaging (MRI), computer tomography (CT), ultrasound (US), angiography or other imaging modalities. Knowledge of the physical properties of the cavity / lumen is obtained by determining the relationship between image density and the stiffness or elasticity of tissues in the body cavity or lumen and is used to model interactions between a simulated device and a simulated body cavity or lumen.

A method and system for generating a patient specific anatomical heart model is disclosed. A sequence of volumetric image data, such as computed tomography (CT), echocardiography, or magnetic resonance (MR) image data of a patient's cardiac region is received. A multi-component patient specific 4D geometric model of the heart and aorta estimated from the sequence of volumetric cardiac imaging data. A patient specific 4D computational model based on one or more of personalized geometry, material properties, fluid boundary conditions, and flow velocity measurements in the 4D geometric model is generated. Patient specific material properties of the aortic wall are estimated using the 4D geometrical model and the 4D computational model. Fluid Structure Interaction (FSI) simulations are performed using the 4D computational model and estimated material properties of the aortic wall, and patient specific clinical parameters are extracted based on the FSI simulations. Disease progression modeling and risk stratification are performed based on the patient specific clinical parameters.

An automated three dimensional mapping and display system for a diagnostic ultrasound system is presented. According to the invention, ultrasound probe position registration is automated, the position of each pixel in the ultrasound image in reference to selected anatomical references is calculated, and specified information is stored on command. The system, during real time ultrasound scanning, enables the ultrasound probe position and orientation to be continuously displayed over a body or body part diagram, thereby facilitating scanning and images interpretation of stored information. The system can then record single or multiple ultrasound free hand two-dimensional (also “2D”) frames in a video sequence (clip) or cine loop wherein multiple 2D frames of one or more video sequences corresponding to a scanned volume can be reconstructed in three-dimensional (also “3D”) volume images corresponding to the scanned region, using known 3D reconstruction algorithms. In later examinations, the exact location and position of the transducer can be recreated along three dimensional or two dimensional axis points enabling known targets to be viewed from an exact, known position.

Apparatus for and method of rapid three dimensional scanning and digitizing of an entire microscope sample, or a substantially large portion of a microscope sample, using a tilted sensor synchronized with a positioning stage. The system also provides a method for interpolating tilted image layers into a orthogonal tree dimensional array or into its two dimensional projection as well as a method for composing the volume strips obtained from successive scans of the sample into a single continuous digital image or volume.

Techniques, hardware, and software are provided for quantification of extensional features of structures of an imaged subject from image data representing a two-dimensional or three-dimensional image. In one embodiment, stenosis in a blood vessel may be quantified from volumetric image data of the blood vessel. A profile from a selected family of profiles is fit to selected image data. An estimate of cross sectional area of the blood vessel is generated based on the fit profile. Area values may be generated along a longitudinal axis of the vessel, and a one-dimensional profile fit to the generated area values. An objective quantification of stenosis in the vessel may be obtained from the area profile. In some cases, volumetric image data representing the imaged structure may be reformatted to facilitate the quantification, when the structural feature varies along a curvilinear axis. A mask is generated for the structural feature to be quantified based on the volumetric image data. A curve representing the curvilinear axis is determined from the mask by center-finding computations, such as moment calculations, and curve fitting. Image data are generated for oblique cuts at corresponding selected orientations with respect to the curvilinear axis, based on the curve and the volumetric image data. The oblique cuts may be used for suitable further processing, such as image display or quantification.

A method and system for generating a patient specific anatomical heart model is disclosed. Volumetric image data, such as computed tomography (CT) or echocardiography image data, of a patient's cardiac region is received. Individual models for multiple heart components, such as the left ventricle (LV) endocardium, LV epicardium, right ventricle (RV), left atrium (LA), right atrium (RA), mitral valve, aortic valve, aorta, and pulmonary trunk, are estimated in said volumetric cardiac image data. A patient specific anatomical heart model is generated by integrating the individual models for each of the heart components.

Volumetric imaging on a radiotherapy apparatus, wherein a body, of which a volumetric image data set is to be produced, is positioned on a couch of the radiotherapy apparatus, and the couch or a bearing area of the couch or the body itself is rotated about a spatially fixed axis. During rotation, multiple x-ray images of the body or of a part of the body are produced and stored by at least one radiation source / image recorder system which is separate from the radiotherapy apparatus and whose radiation path is substantially not parallel to the spatially fixed axis. The rotational position of the couch or the bearing area of the couch or the body itself is detected while the images are produced, and the rotational position is assigned to the corresponding image, wherein a volumetric image data set of the body is reconstructed from the x-ray images by image processing and assignment by a computer system.

Systems and methods for image segmentation in generating computer models of a joint to undergo arthroplasty are disclosed. Some embodiments may include a method of partitioning an image of a bone into a plurality of regions, where the method may include obtaining a plurality of volumetric image slices of the bone, generating a plurality of spline curves associated with the bone, verifying that at least one of the plurality of spline curves follow a surface of the bone, and creating a 3D mesh representation based upon the at least one of the plurality of spline curve.

A method of treating an object with radiation that includes generating volumetric image data of an area of interest of an object and emitting a therapeutic radiation beam towards the area of interest of the object in accordance with a reference plan. The method further includes evaluating the volumetric image data and at least one parameter of the therapeutic radiation beam to provide a real-time, on-line or off-line evaluation and on-line or off-line modification of the reference plan.

The present invention provides systems and corresponding methods for autonomous robotic navigation that are capable of obtaining a volumetric image data set of the structure having a lumen, defining a volume of interest between a first point within the structure having a lumen and a second point within the structure having a lumen, creating a virtual navigation pathway for navigating a navigable device with a robotic device between the first and second points, registering the navigable device within the volume of interest, and navigating the navigable device iteratively along the virtual navigation path with the robotic device.

In one aspect, the invention provides improvements in a digital data processor of the type that renders a three-dimensional (3D) volume image data into a two-dimensional (2D) image suitable for display. The improvements include a graphics processing unit (GPU) that comprises a plurality of programmable vertex shaders that are coupled to a plurality of programmable pixel shaders, where one or more of the vertex and pixel shaders are adapted to determine intensities of a plurality of pixels in the 2D image as an iterative function of intensities of sample points in the 3D image through which a plurality viewing rays associated with those pixels are passed. The pixel shaders compute, for each ray, multiple iteration steps of the iterative function prior to computing respective steps for a subsequent ray.

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 system, method and medium for standardizing a manner of acquisition and display of ultrasound images. In one embodiment of the invention, a volumetric image of an organ is acquired in a standardized manner. Relationships such as formulas are utilized to automatically generate anatomical planes of interest within the volume that can be displayed independent of the user.

Methods, systems, and related computer program products for non-invasive monitoring of a biological volume, such as a human brain, are described. In one preferred embodiment, each of a plurality of optical sources emits optical radiation into the biological volume each of a plurality of optical detectors detects optical radiation impinging thereupon from the biological volume. The optical measurements are processed to compute a requisite property value associated with each source-detector pair. For each source-detector pair, a volumetric basis region corresponding thereto is weighted by the requisite property value, the volumetric basis region being predetermined and representative of an estimated subvolume of the biological volume encountered by optical radiation emitted from that source and propagating to that detector. The weighted volumetric basis regions are accumulated into a volumetric cumulative array, and a display output is generated based at least in part on the volumetric cumulative array.

There is described an X-ray diagnostic device for performing cephalometric, dental or orthopedic examinations on a patient who is seated or standing. The X-ray diagnostic device comprises an X-ray emitter and an image detector embodied as a flat-panel detector that are arranged situated opposite each other on an orbitally moveable mount. The X-ray diagnostic device further comprises means for adjusting the height of the X-ray emitter and the image detector, a digital image system for recording a projection image using rotation angiography, a device for image processing for reconstructing the projection image into a 3D volume image; and a device for correcting physical effects or artifacts for representing soft tissue in the projection image and in the 3D volume image reconstructed therefrom.

A method of propagating a ray through an image includes providing a digitized volumetric image comprising a plurality of intensities corresponding to a domain of voxels in a 3-dimensional space, providing a reduced path octree structure of said volumetric image, said reduced path octree comprising a plurality of first level nodes, wherein each first level node contains a plurality of said voxels, initializing a ray inside said volumetric image, and visiting each first level node along said ray, wherein if said first level node is non-empty, visiting each voxel contained within each first level node.

A system and method for recording and depicting ultrasound images of a moving object are disclosed. In a preferred embodiment, ultrasound images are acquired as the field of view of an ultrasound probe is advanced across the tissues of interest during a resting period between periods of relatively large-scale heart cycle motion. A series of images acquired during a particular resting period may be represented as a three-dimensional volume image, and the comparison of volume images from adjacent cardiac resting periods enables three-dimensional volume image modulation analysis which may be presented for a user as a moving volume image of the objects of interest within the field of view.

A method includes obtaining first volumetric image data, which is acquired at a first time, including a region of interest with a structural feature located at a first position. The method further includes obtaining second volumetric image data, which is acquired at a second different time, including the region of interest with the structural feature located at a second different position. The method further includes determining a registration transformation that registers the first and second volumetric image data such that the at least one structural feature in the first volumetric image data aligns with the at least one structural feature in the second volumetric image data. The registration transformation is based at least on a contour guided deformation registration. The method further includes generating a signal indicative of the registration transformation.