57 results about "Volume reconstruction" patented technology

A method for stabilizing the reconstruction of an imaged volume is presented. The method includes the steps of performing an analysis of the reliability of reconstruction of a radioactive-emission density distribution of the volume from radiation detected over a specified set of views, and defining modifications to the reconstruction process and/or data collection process to improve the reliability of reconstruction, in accordance with the analysis.

Provided is a method performed on a processor for simulating the milling of an object by moving a shape along a path intersecting the object. A composite adaptively sampled distance field (ADF) is generated to represent the object, where the composite ADF includes a set of cells. Each cell in the composite ADF includes a set of distance fields and a procedural reconstruction method for reconstructing the object within the cell. The shape is represented by a shape distance field. The path is represented by a parametric function. A swept volume distance field is defined in a continuous manner to represent a swept volume generated by moving the shape along the path according to a swept volume reconstruction method which reconstructs the swept volume distance field at a sample point. The composite ADF is edited to incorporate the swept volume distance field into the composite ADF to simulate the milling.

A method is for producing CT images of a periodically moving object to be examined, in particular a method for cardio volume reconstruction for multi-row CT units in spiral mode. A multi-row CT unit designed is further designed therefore. A small partial revolution segments along a revolution spiral is used to calculate in each case per partial revolution segment a plurality of segment images that are converted in a second step to partial images in the target image plane (for example axial plane) and are assembled with the correct phase to form complete images.

Embodiments of methods and/or apparatus for 3-D volume image reconstruction of a subject, executed at least in part on a computer for use with a digital radiographic apparatus can obtain a 3D volume reconstruction or projection image by generating a first-filtered set of projection images from a plurality of 2-D projection images taken over a range of scan angles and a different second-filtered set of projection images from the plurality of 2-D projection images. Then, for example, a first 3-D volume image of the subject from the first-filtered set of projection images and a second 3-D volume image of the subject from the second-filtered set of projection images can be combined using different weighting combinations in at least two corresponding portions to generate the 3-D volume image of the subject.

A system and method for constructing fluoroscopic-based three dimensional volumetric data from two dimensional fluoroscopic images including a computing device configured to facilitate navigation of a medical device to a target area within a patient and a fluoroscopic imaging device configured to acquire a fluoroscopic video of the target area about a plurality of angles relative to the target area. The computing device is configured to determine a pose of the fluoroscopic imaging device for each frame of the fluoroscopic video and to construct fluoroscopic-based three dimensional volumetric data of the target area in which soft tissue objects are visible using a fast iterative three dimensional construction algorithm.

The invention discloses a three-dimensional coordinate determination method and device. The method comprises the steps that a volume reconstruction image is obtained, wherein the volume reconstruction image is a two-dimensional image and comprises a three-dimensional object; two-dimensional coordinates of a first position and a second position in the volume reconstruction image are respectively obtained, wherein the first position and the second position are two different positions clicked by a user in the volume reconstruction image; and a first three-dimensional coordinate corresponding to the two-dimensional coordinates in the volume reconstruction image is determined. With the three-dimensional coordinate determination method and the device, the endpoints of a distance to be measured or the vertex of an angle to be measured can be directly selected in the volume reconstruction image, and the problem that a tangent plane reconstruction image needs to be adjusted for times when distance or angle measurement is carried out in the tangent plane reconstruction image is avoided, so that a better medical treatment observation effect is realized.

The invention relates to a filling deflagration energy accumulation volume fracturing method in cracks. The filling deflagration energy accumulation volume fracturing method comprises the following steps that (1) prepad fluid pumping is performed, and crack initiation and propagation of the cracks are performed; (2) solid particle gunpowder is deflagrated and sand-carrying fluid pumping is performed, and the solid particle gunpowder is carried to fill the cracks; (3) front displacement fluid slug is subjected to pumping, and the sand carrying fluid is displaced into the cracks to separate detonation fluid and the sand carrying fluid; (4) detonation fluid is subjected to slug pumping to detonate the solid particle gunpowder in the cracks; and (5) rear displacement fluid slug is subjected topumping. According to the filling deflagration energy accumulation volume fracturing method, detonation particle gunpowder is injected into the cracks together with the solid particle gunpowder, thenliquid detonating fluid is used for squeezing slugs into the cracks and reacting with the detonation particle gunpowder to release the energy to detonate the solid particle gunpowder filling cracks,complexity of the cracks can be increased on a large scale, compared with conventional hydraulic fracturing, a propping agent in the cracks is subjected to deflagration fracturing, a plurality of random cracks can be stimulated on both sides of a main crack, three-dimensional volume reconstruction is formed, and the effect of fracturing reconstruction is greatly improved.

Methods and apparatuses for implementing artificial intelligence enabled volume reconstruction are disclosed herein. An example method at least includes acquiring a first plurality of multi-energy images of a surface of a sample, each image of the first plurality of multi-energy images obtained at a different beam energy, where each image of the first plurality of multi-energy images include data from a different depth within the sample, and reconstructing, by an artificial neural network, at least a volume of the sample based on the first plurality of multi-energy images, where a resolution of the reconstruction is greater than a resolution of the first plurality of multi-energy images.

A method for tomosynthesis volume reconstruction acquires at least a prior projection image of the subject at a first angle and a subsequent projection image of the subject at a second angle. A synthetic image corresponding to an intermediate angle between the first and second angle is generated by a repeated process of relating an area of the synthetic image to a prior patch on the prior projection image and to a subsequent patch on the subsequent projection image according to a bidirectional spatial similarity metric, wherein the prior patch and subsequent patch have n×m pixels; and combining image data from the prior patch and the subsequent patch to form a portion of the synthetic image. The generated synthetic image is displayed, stored, processed, or transmitted.

An image processing system in the medical field is provided. The system for processing image data includes at lest two graphics processors, at least one renderer module for rendering image data and at least one reconstruction module for volume reconstruction. In a first operating mode of the system in which at least one reconstruction module is inactive, the instructions of at least one renderer module is able to be executed by at least two of the graphics processors. In a second operating mode of the system in which at least one reconstruction module is active, the instructions of at least one renderer module and the instructions of at least one reconstruction module is able to be executed separately on different graphics processors of the said graphics processors. During operation in one of the two operating modes, a switch can be made to the other operating mode in each case.

The invention discloses a usage-scene-based medical image volume reconstruction optimization method. The method comprises: a template library containing a plurality of histogram features is established, wherein each histogram feature has a plurality of mapping functions and a default mapping function; a medical image inputted by a user is obtained, a histogram feature of the image is calculated, matching of the histogram feature to the histogram feature template library is carried out, and three-dimensional reconstruction is carried out on a new medical image sequence by using a matched default mapping function; a mapping function selected by the user is monitored, three-dimensional reconstruction is carried out on the medial image, a usage frequency of the mapping function is updated, andthe mapping function with the highest usage frequency is set as a default mapping function matching the histogram feature template; and if any newly adding/modification/deletion operation of the histogram feature template or mapping function, the histogram feature template library is updated. According to the invention, a method being capable of adapting to the personal diagnosis habits of the doctor is provided; and on the basis of optimization of the mapping function, the volume reconstruction matches the usage scene of the doctor well, so that the film reading efficiency is improved.