2525 results about "Iterative reconstruction" patented technology

Embodiments of the present invention include methods and systems for three-dimensional reconstruction of a tubular organ (for example, coronary artery) using a plurality of two-dimensional images. Some of the embodiments may include displaying a first image of a vascular network, receiving input for identifying on the first image a vessel of interest, tracing the edges of the vessel of interest including eliminating false edges of objects visually adjacent to the vessel of interest, determining substantially precise radius and densitometry values along the vessel, displaying at least a second image of the vascular network, receiving input for identifying on the second image the vessel of interest, tracing the edges of the vessel of interest in the second image, including eliminating false edges of objects visually adjacent to the vessel of interest, determining substantially precise radius and densitometry values along the vessel in the second image, determining a three dimensional reconstruction of the vessel of interest and determining fused area (cross-section) measurements along the vessel and computing and presenting quantitative measurements, including, but not limited to, true length, percent narrowing (diameter and area), and the like.

The present invention provides video and audio assisted surgical techniques and methods. Novel features of the techniques and methods provided by the present invention include presenting a surgeon with a video compilation that displays an endoscopic-camera derived image, a reconstructed view of the surgical field (including fiducial markers indicative of anatomical locations on or in the patient), and/or a real-time video image of the patient. The real-time image can be obtained either with the video camera that is part of the image localized endoscope or with an image localized video camera without an endoscope, or both. In certain other embodiments, the methods of the present invention include the use of anatomical atlases related to pre-operative generated images derived from three-dimensional reconstructed CT, MRI, x-ray, or fluoroscopy. Images can furthermore be obtained from pre-operative imaging and spacial shifting of anatomical structures may be identified by intraoperative imaging and appropriate correction performed.

A method and system for imaging an artery contained in an arterial tree. A microprocessor generates a three-dimensional reconstruction of the arterial tree from two or more angiographic images obtained from different perspectives. The orientation of the axis of the artery in the arterial tree is then determined, and a perspective of the artery perpendicular to the axis of the artery is determined. A three dimensional reconstruction of the artery from angiographic images obtained from the determined perspective is then generated.

User interaction with a display is detected substantially simultaneously using at least two cameras whose intersecting FOVs define a three-dimensional hover zone within which user interactions can be imaged. Separately and collectively image data is analyzed to identify a relatively few user landmarks. A substantially unambiguous correspondence is established between the same landmark on each acquired image, and a three-dimensional reconstruction is made in a common coordinate system. Preferably cameras are modeled to have characteristics of pinhole cameras, enabling rectified epipolar geometric analysis to facilitate more rapid disambiguation among potential landmark points. Consequently processing overhead is substantially reduced, as are latency times. Landmark identification and position information is convertible into a command causing the display to respond appropriately to a user gesture. Advantageously size of the hover zone can far exceed size of the display, making the invention usable with smart phones as well as large size entertainment TVs.

The invention relates to a fast multilevel imagination and reality occlusion method at an actuality enhancement environment, comprising the following steps of: acquiring videos of a real scene by using a two-path video camera; extracting a pair of keyframes from a two-path video stream at set intervals to carry out the resolving of a dense depth map, building a three-dimensional model of a real object participating in occlusion, and extracting sparse feature points; tracking the sparse feature points of all middle frames of the two-path video stream, and estimating the posture of a current camera by combining with the positions of the sparse feature points in an image; acquiring the three-dimensional information of the real object according to a model built for the last time; moving and rotating the model of the real object according to the posture of the current camera; carrying out depth relation comparison by utilizing the three-dimensional information of the recently regulated real object with a registered three-dimensional virtual object; and respectively processing the three-dimensional tracking of the middle frames and the three-dimensional reconstruction of the keyframes in parallel at different threads. The invention is suitable for unknown and variable environments without modeling in advance and can meet the requirements for real time.

The invention discloses a three-dimensional reconstruction method based on coding structured light, comprising the following steps: 1) projecting structured light to an object to be measured, and capturing an image modulated by the object to be measured by a camera; 2) matching an optical template, comprising: (2.1) positioning the optical strip boundary, scanning along each row of the image, determining a pixel point with strong gray variation as a candidate marginal point, and searching a local domain; and (2.2) matching the optical strip: adopting a color cluster method to build a color matching proper vector, comparing image color with a projected color, and defining Euclidean distance between the color proper vector and the cluster center to distribute the colors of red, green, blue and white of the candidate optical strip; and 3) using a calibrated system parameter for three-dimensional reconstruction of the object to be measured, determining the relation between a space point coordinate and the image coordinate point thereof by the calibrated conversion matrix parameter; and restoring three-dimensional spatial coordinate from the image coordinate of a feature point. The invention can simplify calculation process and has high matching precision and high reconstruction precision.

A system to illustrate image data of an imaged subjected is provided. The system comprises an imaging system, an input device, an output device, and a controller in communication with the imaging system, the input device, and the output device. The controller includes a processor to perform program instructions representative of the steps of generating a three-dimensional reconstructed volume from the plurality of two-dimensional, radiography images, navigating through the three-dimensional reconstructed volume, the navigating step including receiving an instruction from an input device that identifies a location of a portion of the three-dimensional reconstructed volume, calculating and generating a two-dimensional display of the portion of the three-dimensional reconstructed volume identified in the navigation step, and reporting the additional view or at least one parameter to calculate and generate the additional view.

The invention discloses a regional depth edge detection and binocular stereo matching-based three-dimensional reconstruction method, which is implemented by the following steps: (1) shooting a calibration plate image with a mark point at two proper angles by using two black and white cameras; (2) keeping the shooting angles constant and shooting two images of a shooting target object at the same time by using the same camera; (3) performing the epipolar line rectification of the two images of the target objects according to the nominal data of the camera; (4) searching the neighbor regions of each pixel of the two rectified images for a closed region depth edge and building a supporting window; (5) in the built window, computing a normalized cross-correlation coefficient of supported pixels and acquiring the matching price of a central pixel; (6) acquiring a parallax by using a confidence transmission optimization method having an acceleration updating system; (7) estimating an accurate parallax by a subpixel; and (8) computing the three-dimensional coordinates of an actual object point according to the matching relationship between the nominal data of the camera and the pixel and consequently reconstructing the three-dimensional point cloud of the object and reducing the three-dimensional information of a target.

The present invention provides an image processing method. The method comprises the steps of acquiring a visible light image and the depth information through shooting the same scene; according to the acquired visible light image and the depth information, obtaining the three-dimensional point cloud data of the scene based on a preset algorithm; according to the three-dimensional point cloud data of the scene obtained through calculation, conducting the three-dimensional reconstruction of the scene, generating a three-dimensional geometric model and constructing a virtual scene; and conducting the rendering treatment on the constructed virtual scene. The embodiment of the present invention also provides a corresponding mobile terminal. According to the image processing method provided in the embodiment of the present invention, images of different lighting effects in different 3D illumination conditions can be obtained, and the user experience is improved. The problem in the prior art that the images of different lighting effects in different 3D illumination conditions cannot be pre-viewed and stored without changing the physical scene by means of the mobile terminal can be solved.

A radiotherapeutic apparatus using high-energy electron beams to radiate the bed of removed tumor and the residual tumor tissue in excision operation features that the CT or MRI 3D imaging software is used to determine the position of tumor focal, an analog technique is used to determine the incident direction, angle and position of electron beam, a radiotherapeutic plan system is used to calculate the radiation dosage, and a laser locator on the radiating head with straight-line electron accelerator is used to align the electron beam to the tumor focal.

A method for 3D reconstruction of the positions of a catheter as it is moved within a region of the human body, comprising: (a) ascertaining the 3D position of a point on a catheter for insertion in the body region; (b) acquiring a fixed angle, single-plane fluoroscopic image of the body region and of the catheter; (c) transferring the image data and catheter-point position to a computer; (d) determining the 2D image coordinates of the point on the catheter; (e) changing the length of catheter insertion by a measured amount; (f) thereafter acquiring a further single-plane fluoroscopic image of the body region and the catheter from the same angle, transferring the length change and additional image data to the computer, and determining the 2D image coordinates of the point on the catheter; (g) computing the 3D position of the catheter point; and (h) repeating steps e-g plural times. A 3D model is constructed by assembling the plural 3D positions of the point within the body region into a 3D model of the region.

The invention provides a contact network three-dimensional reconstruction method based on SIFT and LBP point cloud registration. The method comprises the first step of obtaining initial three-dimensional point cloud data of the environment where parts of a contact network to be reconstructed are located through motion-sensing peripheral Kinect for Windows, and conducting denoising, simplifying, partitioning clustering, fusing and other preprocessing operations on the initial three-dimensional point cloud data to obtain single-view-angle point cloud data of the parts of the contact network to be reconstructed, the second step of extracting key points through an SIFT algorithm, constructing description vectors of the key points by means of LBP features of uniform patterns and determining the corresponding relations between the key points in different point clouds according to the distances between the vectors, the third step of completing point cloud registration through a rough registration method and an ICP fine registration method and obtaining the complete three-dimensional point cloud data of the parts of the contact network to be reconstructed, and the fourth step of completing three-dimensional reconstruction through the Poisson surface reconstruction method and obtaining a three-dimensional model. According to the method, the key factor is point cloud registration which is the key step influencing the three-dimensional reconstruction speed; the description vectors of the key points are constructed by means of the LBP features of the uniform patterns, so that vector dimensions are reduced, the matching speed of the corresponding relations is increased, registration is accelerated, and the three-dimensional reconstruction speed is increased.

The invention discloses an indoor scene 3D reconstruction method based on Kinect and solves the technical problem of the real-time reconstruction of an indoor scene 3D model and avoidance of excessive redundant points. The method comprises steps of: obtaining the depth data of an object by using Kinect and de-nosing and down-sampling the depth data; obtaining the point cloud data of a current frame and calculating the vector normal of each point in the frame; using a TSDF algorithm to establish a global data cube, and using a ray casting algorithm to calculate predicted point cloud data; calculating a point cloud registration matrix by using an ICP algorithm and the predicted point cloud data, fusing the obtained point cloud data of each frame into the global data cube, and fusing the point cloud data frame by frame until a good fusion effect is obtained; rendering the point cloud data with an isosurface extraction algorithm and constructing the 3D model of the object. The method improves the registration speed and the registration precision, is fast in fusion speed and few in redundancy points, and can be used for real-time reconstruction of the indoor scene.

Substantial reduction of the radiation dose in computed tomography (CT) imaging is shown using a machine-learning dose-reduction technique. Techniques are provided that (1) enhance low-radiation dosage images, beyond just reducing noise, and (2) may be combined with other approaches, such as adaptive exposure techniques and iterative reconstruction, for radiation dose reduction.

The present invention provides a method of generating augmented reality surroundings illumination model by a spherical panoramic camera real time, including: (1) placing the spherical panoramic camera in the augmented reality surroundings, placing in the viewport of the virtual worlds, real-time collecting panoramic picture; (2) processing the texture map having optical property aimed at the real world object after being collected panoramic picture of the step 1; (3) calculating collected panoramagram light intensity value aimed at the virtual world object after being collected the panoramic picture of the step 1, processing illumination model pattern matching, generating virtual world illumination model by the calculation; (4) calculating the illumination model of the augmented reality site under the condition of interactive local impact of the consideration reconstruction model and the virtual object model. The invention real-time generates illumination model in the complex photoenvironment, having advantage of support augmented reality site real time interactive.

The invention discloses a deep learning-based multiview face three-dimensional model reconstruction method, and belongs to the field of computer vision. The method comprises the following steps of: generating a multi-illumination multiview virtual face image; generating a depth map of a face front view; training a plurality of independent and parallel convolutional neural networks; training a neural network in which weights of various views are distributed; and restoring depth maps output by the networks into a face three-dimensional grid model and carrying out peak coloring. According to themethod, multiview images are independently trained to restore depth maps, and each view weight distribution map is trained to carry out deep integration, so that the face three-dimensional model reconstruction precision is improved under the premise of ensuring the efficiency.

Dynamic projection of at least first and second patterns contributes detectable disparity onto a scene that includes a target object. The scene is imaged with two-dimensional cameras whose acquired imagery includes disparity contributions whose presence enable a three-dimensional reconstruction depth map to be rapidly and accurately generated. In one embodiment coherent light is input to a first DOE within whose near range output is disposed a second DOE, whose far range output projects an image. Electronically varying effective optical distance between the two DOEs varies the pattern projected from the second DOE. A processor system and algorithms enable dynamic intelligent selection of projected patterns to more readily discern target object characteristics: shape, size, velocity. Patterns can implement spatio-temporal depth reconstruction, spatio-temporal depth reconstruction, and even single-camera spatio-temporal light coding reconstruction. Target objects may be scanned or may make gestures that are rapidly detected and recognized by the system and method.

A method for determining a three-dimensional model of a scene from a digital video captured using a digital video camera, the digital video including a temporal sequence of video frames. The method includes determining a camera position of the digital video camera for each video frame, and fitting a smoothed camera path to the camera positions. A sequence of target camera positions spaced out along the smoothed camera path is determined such that a corresponding set of target video frames has at least a target level of overlapping scene content. The target video frames are analyzed using a three-dimensional reconstruction process to determine a three-dimensional model of the scene.

The present invention provides a dynamic model directed angiography three-dimensional reconstruction method, pertaining to an intersectional field of digital image processing and medicine imaging, for satisfying special requests of auxiliary detection and surgery guidance for cardiovascular disease in clinical medicine. The invention includes steps of angiography image preprocessing, vascellum segmentation, vascellum skeleton and radii extraction, model directed vascellum base element recognition, vascellum matching and vascellum three-dimensional reconstruction. The invention also provides a cardiovascular dynamic model construction method including steps of cardiovascular slice data extraction, cordis static and dynamic model building, and static and dynamic model building. According to the invention, good angiography three-dimensional reconstruction result may be obtained, which effectively assists detection and surgery guidance for cardiovascular disease, thereby satisfying clinical requests.

A method of reconstructing an image includes performing an iterative CT X-ray image reconstruction using a model including a point spread function (PSF) to reconstruct an image.