386 results about "Volume of interest" patented technology

The invention relates to a method for identifying and extracting images of one or more users in an interactive environment comprising the steps of: —obtaining a depth map (7) of a scene in the form of an array of depth values, and an image (8) of said scene in the form of a corresponding array of pixel values, said depth map (7) and said image (8) being registered; applying a coordinate transformation to said depth map (7) and said image (8) for obtaining a corresponding array (15) containing the 3D positions in a real-world coordinates system and pixel values points; —grouping said points according to their relative positions, by using a clustering process (18) so that each group contains points that are in the same region of space and correspond to a user location (19); —defining individual volumes of interest (20) each corresponding to one of said user locations (19); —selecting, from said array (15) containing the 3D positions and pixel values, the points located in said volumes of interest for obtaining segmentation masks (35) for each user; —applying said segmentation masks (35) to said image (8) for extracting images of said users. The invention also relates to a method for recognizing gestures of said users.

A system and method of obtaining serial biochemical, anatomical or physiological in vivo measurements of disease from one or more medical images of a patient before, during and after treatment, and measuring extent and severity of the disease is provided. First anatomical and functional image data sets are acquired, and form a first co-registered composite image data set. At least a volume of interest (ROI) within the first co-registered composite image data set is identified. The first co-registered composite image data set including the ROI is qualitatively and quantitatively analyzed to determine extent and severity of the disease. Second anatomical and functional image data sets are acquired, and form a second co-registered composite image data set. A global, rigid registration is performed on the first and second anatomical image data sets, such that the first and second functional image data sets are also globally registered. At least a ROI within the globally registered image data set using the identified ROI within the first co-registered composite image data set is identified. A local, non-rigid registration is performed on the ROI within the first co-registered composite image data set and the ROI within the globally registered image data set, thereby producing a first co-registered serial image data set. The first co-registered serial image data set including the ROIs is qualitatively and quantitatively analyzed to determine severity of the disease and / or response to treatment of the patient.

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.

Methods and apparatus are described for space charge dosimeters for extremely low power measurements of radiation in shipping containers. A method includes insitu polling a suite of passive integrating ionizing radiation sensors including reading-out dosimetric data from a first passive integrating ionizing radiation sensor and a second passive integrating ionizing radiation sensor, where the first passive integrating ionizing radiation sensor and the second passive integrating ionizing radiation sensor remain situated where the dosimetric data was integrated while reading-out. Another method includes arranging a plurality of ionizing radiation sensors in a spatially dispersed array; determining a relative position of each of the plurality of ionizing radiation sensors to define a volume of interest; collecting ionizing radiation data from at least a subset of the plurality of ionizing radiation sensors; and triggering an alarm condition when a dose level of an ionizing radiation source is calculated to exceed a threshold.

In order to maximize the dynamic range and depth of field for a depth camera used in a time of flight system, the light source is modulated at a plurality of different frequencies, a plurality of different peak optical powers, a plurality of integration subperiods, a plurality of lens foci, aperture and zoom settings during each camera frame time. The different sets of settings effectively create subrange volumes of interest within a larger aggregate volume of interest, each having their own frequency, peak optical power, lens aperture, lens zoom and lens focus products consistent with the distance, object reflectivity, object motion, field of view, etc. requirements of various ranging applications.

A method for using computer-aided diagnosis (CAD) for digital tomosynthesis mammograms (DTM) including retrieving a DTM image file having a plurality of DTM image slices; applying a three-dimensional gradient field analysis to the DTM image file to detect lesion candidates; identifying a volume of interest and locating its center at a location of high gradient convergence; segmenting the volume of interest by a three dimensional region growing method; extracting one or more three dimensional object characteristics from the object corresponding to the volume of interest, the three dimensional object characteristics being one of a morphological feature, a gray level feature, or a texture feature; and invoking a classifier to determine if the object corresponding to the volume of interest is a breast cancer lesion or normal breast tissue.

Provided herein are the concept that “singularity-based configuration” electrodes design and method can produce in an ionic substance local high electric fields with low potential differences between electrodes. The singularity-based configuration described here includes: an anode electrode; a cathode electrode; and an insulator disposed between the anode electrode and the cathode electrode. The singularity-based electrode design concept refers to electrodes in which the anode and cathode are adjacent to each other, placed essentially co-planar and are separated by an insulator. The essentially co-planar anode / insulator / cathode configuration bound one surface of the volume of interest and produce desired electric fields locally, i.e., in the vicinity of the interface between the anode and cathode. In an ideal configuration, the interface dimension between the anode and the cathode tends to zero and becomes a point of singularity.

A thermal ablation system is operable to perform thermal ablation using an x-ray system to measure temperature changes throughout a volume of interest in a patient. Image data sets captured by the x-ray system during a thermal ablation procedure provide temperature change information for the volume being subjected to the thermal ablation. Intermediate image data sets captured during the thermal ablation procedure may be fed into a system controller, which may modify or update a thermal ablation plan to achieve volume coagulation necrosis targets. The thermal ablation may be delivered by a variety of ablation modes including radiofrequency ablation, microwave therapy, high intensity focused ultrasound, laser ablation, and other interstitial heat delivery methods. Methods of performing thermal ablation using x-ray system temperature measurements as a feedback source are also provided.

An object detection system utilizing one or more thin, planar structured light patterns projected into a volume of interest, along with digital processing hardware and one or more electronic imagers looking into the volume of interest. Triangulation is used to determine the intersection of the structured light pattern with objects in the volume of interest. Applications include navigation and obstacle avoidance systems for autonomous vehicles (including agricultural vehicles and domestic robots), security systems, and pet training systems.

A method of and apparatus for detecting people using a stereo camera. The method includes: calculating three-dimensional information regarding a moving object from a pair of image signals received from the stereo camera using stereo matching and creating a height map for a specified discrete volume of interest (VOI) using the three-dimensional information; detecting a people candidate region estimated as including one or more persons by finding connected components from the height map using a predetermined algorithm; and generating a histogram with respect to the people candidate region, detecting different height regions using the histogram, and detecting a head region by analyzing the different height regions using a tree structure.

A thermal ablation system is operable to perform thermal ablation using an x-ray system to measure temperature changes throughout a volume of interest in a patient. Image data sets captured by the x-ray system during a thermal ablation procedure provide temperature change information for the volume being subjected to the thermal ablation. Intermediate image data sets captured during the thermal ablation procedure may be fed into a system controller, which may modify or update a thermal ablation plan to achieve volume coagulation necrosis targets. The thermal ablation may be delivered by a variety of ablation modes including radiofrequency ablation, microwave therapy, high intensity focused ultrasound, laser ablation, and other interstitial heat delivery methods. Methods of performing thermal ablation using x-ray system temperature measurements as a feedback source are also provided.

In one aspect of the present technique, an array of electromagnetic sensors is positioned within a volume of interest. In the presence of an electromagnetic field, the array of electromagnetic sensors is sampled to acquire signals representative of the location of the electromagnetic sensors in the array. The electromagnetic field distortion within the volume of interest is determined based on the acquired signals. In another aspect of the present technique, a system for detecting electromagnetic field distortions includes an electromagnetic sensor assembly for positioning within a volume of interest, a plurality of electromagnetic sensors for transmitting or receiving signals representative of the location of the electromagnetic sensors on the sensor assembly; and a tracker. In another aspect of the present technique, an electromagnetic sensor assembly for detecting electromagnetic field distortion includes a body, and an array of electromagnetic sensors positioned on the body.

A method for depth mapping includes providing depth mapping resources including an illumination module, which is configured to project patterned optical radiation into a volume of interest containing the object, and an image capture module, which is configured to capture an image of the pattern reflected from the object. A depth map of the object is generated using the resources while applying at least one of the resources non-uniformly over the volume of interest.

An embodiment of a method for displaying a volume obtained by tomosynthesis includes displaying a two-dimensional image. It further includes receiving user input that defines on the displayed image at least one volume of interest associated with a two-dimensional region of interest located in a plane of the image. The method further includes displaying in the region of interest, according to a practitioner's wishes: (a) images of slices of the volume of interest; (b) three-dimensional images of the volume of interest; and / or (c) slabs obtained from the volume of interest.

A method for detecting EM field distorting includes sampling a sensor assembly positioned within a volume of interest to acquire measurements of EM fields within the volume of interest, and monitoring the measurements to detect EM field distortion within the volume of interest. The sensor assembly includes a set of EM transmitters and a set of EM receivers fixed thereon. A system for detecting EM field distorting includes a sensor assembly for positioning within a volume of interest, wherein the EM sensor assembly comprises a set of EM receivers, and a set of EM transmitters, wherein the EM receivers and the EM transmitters are disposed at fixed locations on the sensor assembly. The system further includes a tracker configured to sample the sensor assembly to acquire measurements of EM fields generated by the EM transmitters, and monitor the measurements to detect EM field distortion within the volume of interest.

An improved imaging system includes a memory-storage unit, a multiple-dimensional image processor configured to convert information within a multiple-dimensional data set to a two-dimensional representation in a plane orthogonal to an operator-identified view axis, and an image-rendering device configured to display the two-dimensional representation of a volume-of-interest contained within the three-dimensional data set, wherein the two-dimensional representation is responsive to pixel values associated with a faceplate orthogonal to the view axis. A method for viewing information includes identifying a view axis that intersects a multiple-dimensional data set, modifying the multiple-dimensional data set to align the multiple-dimension data set responsive to the view axis, locating a portion of a structure-of-interest along a vector parallel to view axis, associating a set of pixels with a faceplate, and generating a composite view in accordance with the faceplate.

A method for segmenting coronary vessels in digitized cardiac images includes providing a digitized cardiac image, providing a seed point in the image, selecting a volume-of-interest about the seed point, performing a local segmentation in the volume-of-interest, including initializing a connected component with the seed point and a threshold intensity value to the intensity of the seed point, adding a point to the connected component if the point is adjacent to the connected component and if the intensity of the point is greater than or equal to the threshold value, lowering the threshold intensity value, and computing an attribute value of the connected component, wherein if a discontinuity in the attribute value is detected, the local segmentation is terminated, wherein a local segmentation mask of a vessel is obtained.

A method for lesion segmentation in 3-dimensional (3D) digital images, includes selecting a 2D region of interest (ROI) from a 3D image, the ROI containing a suspected lesion, extending borders of the ROI to 3D forming a volume of interest (VOI), where voxels on the borders of the VOI are initialized as background voxels and voxels in an interior of the VOI are initialized as foreground voxels, propagating a foreground and background voxel competition where for each voxel in the VOI, having each neighbor voxel in a neighborhood of the voxel attack the voxel, and, if the attack is successful, updating a label and strength of the voxel with that of the successful attacking voxel, and evolving a surface between the foreground and background voxels in 3D until an energy functional associated with the surface converges in value, where the surface segments the suspected lesion from the image.

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.

A magnetic resonance imaging (MRI) apparatus (10) acquires a plurality of parametric images (60) with at least one varying imaging parameter. A parametric map (62) is constructed from the plurality of parametric images (60). At least one pilot parameter (64) is identified from at least the parametric map (62). The at least one identified pilot parameter (64) includes at least a volume of interest for a diagnostic image. A contrast agent (54) is administered to the patient (18). The identified volume of interest is imaged during influx of the administered contrast agent (54) into the identified volume of interest. The imaging uses the at least one identified pilot parameter (64).

A system for obtaining serial biochemical, anatomical or physiological in vivo measurements of disease from one or more medical images of a patient before, during and after treatment, and measuring extent and severity of the disease is provided. First anatomical and functional image data sets are acquired, and form a first co-registered composite image data set. At least a volume of interest (VOI) within the first co-registered composite image data set is identified. The first co-registered composite image data set including the VOI is qualitatively and quantitatively analyzed to determine extent and severity of the disease. Second anatomical and functional image data sets are acquired, and form a second co-registered composite image data set. A global, rigid registration is performed on the first and second anatomical image data sets, such that the first and second functional image data sets are also globally registered.

An X-ray CT apparatus, as one example, includes at least one X-ray irradiation source configured to irradiate an X-ray to a volume of interest, at least one X-ray detector including a plurality of detection element segments configured to detect the X-ray penetrated through the volume of interest, at least one collimator configured to create an opening that is movable in at least one of a slice direction and a channel direction, at least one image processing part configured to extract a portion of the volume data, a controller configured to set the opening of the at least one collimator to a second opening size according to a cylinder-like second scanning range that is set to limit the volume of interest and configured to perform a second scan, and at least one reconstruction part configured to reconstruct image data based on data collected by the second scan.

In methods and an apparatus for analyzing a selected region of interest in medical image data of a subject, an initial image data set is obtained, and the initial image data set is filtered to generate a filtered data set. The filtering includes computing, for each voxel of the initial image data set, a value of intensity for a standardized volume of interest centered on that voxel. A user selection of a region of interest in the initial image data set is registered, and from the filtered image data set a value of intensity for the selected region of interest is computed.

A magnetic screening system uses directional gradiometers with high resolution and accuracy to measure magnetic field signatures of target objects (e.g., gun, knife, cell phone, keys) in a volume of interest. The measured signatures can be compared to signatures of known objects stored in a local database. Various mathematical processes may be used to identify or classify target object signatures. In a network of magnetic screening systems, the magnetic screening systems can transmit signatures to a central signature database, and a management computer can share the central signature database with all of the magnetic screening systems on the network. The magnetic screening system can operate in multiple modes, such as a tracking mode, measurement mode, and self-test mode. Through use of unique processes and designs, the magnetic screening system can achieve a high rate of processing persons for target objects.

Certain embodiments of the present invention provide a method for facilitating surgery including: tracking a position of at least a portion of a surgical implement in a volume of interest; recognizing a surgical plan corresponding to at least a portion of the volume of interest; and providing feedback based on a correspondence between the position of the at least a portion of the surgical implement and the surgical plan. In an embodiment, the feedback is provided in real-time. In an embodiment, the feedback includes at least one of: haptic feedback, thermal feedback, optical feedback, and auditory feedback. In an embodiment, the surgical plan includes a previously generated radiological image. In an embodiment, the surgical plan includes at least one trajectory for the at least a portion of the surgical implement.

In accordance with certain embodiments a method and system to analyze the content of a packed bag utilizing a scanner is provided. The bag is scanned for a scannable characteristic to acquire scan data representative of a content of the piece of baggage. A volumetric data set is generated from the scan data, wherein the volumetric data set includes voxel values of the scannable characteristic throughout a volume of interest in the baggage. A rendered view is produced of the content of the piece of baggage based on the voxel values within a selected range from the volumetric data set. The method and system also provide identifying a threat by analyzing Hounsfield Units of the material of interest.

A method of classifying a test subject comprises collecting imaging data for a plurality of training subjects, control subjects and a test subject. An intensity volume of interest (VOI) and a spatial VOI are selected from said imaging data. Training intensity data and spatial data are calculated for the intensity and spatial VOI. A statistical model can then be created based on the training intensity data and training spatial data to provide a universe of subjects. Control intensity data and spatial data are also calculated for the intensity and spatial VOI. A classifier can then be built dividing the universe into at least two regions. The test subject data can then be applied to the classifier to provide a determination of whether said test subject falls within the first region or the second region. The condition can be a neurological disease state such as temporal lobe epilepsy or Alzheimer's dementia.

A technique is provided for visualizing a volume of interest, such as may be acquired by a tomosynthesis imaging system. The technique provides for the use of one or more weighting functions, such as depth-dependent weighting functions, in the determination of pixel values in a volume rendering. The weighting functions may modify, for example, an intensity determination for a pixel, either directly or by modifying other contributing functions, such as for determining occlusion effects. The volume rendering may then be displayed for review by a technologist or clinician.