94 results about "Volumetric image" patented technology

The invention relates to a scatter correction method, a cone beam computed tomography (CBCT) system and a computer storage medium. The method comprises the following steps: performing cone beam CT imaging on a to-be-measured object to obtain a first group of projection data of the to-be-measured object, and performing reconstruction according to the first group of projection data to obtain a first volume image containing scattering artifacts; performing fan-beam CT imaging on a plurality of different heights of the to-be-measured object to obtain a plurality of groups of fan-beam projection data of the to-be-measured object, performing reconstruction according to the plurality of groups of fan-beam projection data to obtain a plurality of fan-beam slice images, and using the plurality of fan-beam slice images as reference images without scattering artifacts; extracting a plurality of cone beam slice images from the first volume image; performing image registration on the plurality of fan-beam slice images and the plurality of cone-beam slice images; and training a scattering correction model based on deep learning by using the plurality of registered image pairs to obtain a trained scattering correction model.

An apparatus includes a memory to store first volumetric image data representing a first volumetric image of an anatomical region having a volume of interest (VOI). The first volumetric image includes several first voxels at first locations in the first volumetric image. The first volumetric image data includes first uncertainty values corresponding to the several first voxels. The first uncertainty values represent probabilities that the corresponding plurality of first voxels are part of the VOI. The memory is to store second volumetric image data representing a second volumetric image of the anatomical region. The apparatus includes a processing device operatively coupled to the memory. The processing device is to determine a deformation field to map the several first voxels to second locations in the second volumetric image. The deformation field is based in part on the first uncertainty values.

The invention relates to the technical field of biomedical imaging, and discloses a photoacoustic-ultrasonic volume imaging method and system based on an annular ultrasonic array, and the method comprises the steps: reconstructing a two-dimensional photoacoustic image and a two-dimensional ultrasonic image; after photoacoustic imaging and ultrasonic synthetic aperture imaging of one imaging plane are completed, the annular ultrasonic array is moved in the direction perpendicular to the imaging plane, photoacoustic images and ultrasonic images of all the imaging planes are repeatedly executed on the next imaging plane, rebuilt and stacked, and a three-dimensional photoacoustic volume image and a three-dimensional ultrasonic volume image are formed; performing spatial pulse response deconvolution processing on the three-dimensional photoacoustic volume image; and fusing the processed three-dimensional photoacoustic volume image and the three-dimensional ultrasonic volume image to generate a three-dimensional bimodal volume image. According to the invention, high-time-resolution opto-acoustic-ultrasonic bimodal three-dimensional imaging is realized by using an annular ultrasonic array and motion scanning, and the high spatial resolution of the image is further ensured through a series of technologies.

Provided is a method for labeling volumetric data, including obtaining, with a computing device, access to volumetric data in a hierarchical spatial data structure, displaying, with the computing device, a multiresolution representation of a three-dimensional image volume in an extended reality environment configured to display volumetric data using the hierarchical spatial data structure, receiving, with the computing device, a selection of a region of interest of the image volume, receiving, with the computing device, user input defining a brush trajectory within the region of interest, determining, with the computing device, which voxels within the image volume that intersect the brush trajectory within the region of interest; and labeling, with the computing device, the identified voxels in memory.

Systems and methods are provided for scanning a dental impression to obtain a digital model of a patient's dentition as an input to computer aided design (CAD) and computer aided manufacturing (CAM) methods for producing dental prostheses. Systems and methods are provided for scanning a physical impression of a patient's dentition and constructing a virtual surface image of the patient's dentition from the scan data thereby obtained. The virtual surface image of the patient's dentition is constructed using isosurfaces and density gradients of a volumetric image and then directly creating a surface image based upon void spaces that correspond to the patient's dentition.

Methods and apparatus for transmission of volumetric images in the MPI format. According to an example embodiment, texture and alpha layers of multiplane images are packed, as tiles, into a sequence of video frames. The sequence of video frames is then compressed to generate a video bitstream, which is transmitted together with a metadata bitstream specifying at least the parameters of the packing arrangement for the tiles in the sequence of video frames. Example packing arrangements include various selectable spatial and temporal arrangements for texture layers, alpha layers, and camera views. In some examples, the metadata bitstream is implemented using a SEI message and includes parameters selected from the group consisting of a size of the reference view, the number of layers in the multiplane image, the number of simultaneous views, one or more characteristics of the packing arrangement, layer merging information, dynamic range adjustment information, and reference view information.

A plurality of scattered laser pulses is received, each scattered laser pulse associated with at least one plurality of respective dwells. A set of 3D velocity information is received, which is derived from photo events detected in information associated with the received plurality of scattered laser pulses. Each dwell in the plurality of dwells is associated with one or more photo events. The 3D velocity information includes information estimating each respective photo event's respective position in 6D space during the respective dwell associated with the photo event. For each dwell, its respective photo events are projected into a common reference frame, determined based on the 3D velocity information, to generate a set of motion-compensated point clouds. Each respective motion-compensated point cloud, for each dwell, is registered to the other motion-compensated point clouds in the set, to generate a set of registered point clouds, which are merged into a volumetric image.

A system may be configured to generate multiple machine-learning based volumetric images from initial measurement data. Slices of a machine-learning based volumetric image may correspond to ML-based versions of respective slices of the initial volumetric image. The system may calculate differences between the different machine-learning based volumetric images. The system may enable a user to select an image slice for viewing. Based on the selection the system may identify multiple machine-learning based image slices that correspond to the selected image slice, generate a display object based on the identified machine-learning based image slices, and display the display object.

A method for identifying material boundaries in volumetric image data is provided. The method is based on the use of a model boundary transition function that models the expected progression of voxel values ​​across a material boundary as a function of distance. Each voxel is acquired in turn, and voxel values ​​in a subregion surrounding the voxel are fitted to the model function to obtain corresponding fitting parameters, in addition to parameters related to the quality of the model fit. Based on these parameters for each voxel, candidate spatial points estimated to lie on the material boundary within the 3D image dataset are identified for at least a subset of voxels. Optionally, an additional preliminary step can be applied to filter voxels to candidate voxels, for example, based on each voxel's estimated distance to the material boundary. This can be estimated based on a specific combination of model parameters for each voxel. Candidate points can be identified only for the identified candidate voxels. This results in a cloud of candidate spatial points that spatially correspond to the contour of the boundary wall. Based on these, a representation of the boundary wall (e.g., a surface mesh) can be generated.

Aligning and coloring volumetric images is disclosed, including: capturing intensity data using at least one scanner; generating an intensity image using the intensity data, wherein the intensity image includes at least one feature in a scene, the at least one feature including a sample feature; capturing image data using at least one camera, wherein the image data includes color information; generating a camera image using the image data, wherein the camera image includes the sample feature; matching the sample feature in the intensity image to the sample feature in the camera image to align the intensity image with the camera image; and generating a color image by applying the color information to the aligned intensity image.

Systems and methods for determining the health status of a retina of a subject. An optical coherence tomography (OCT) volume image of a retina of a subject may be received. A health indication output is generated, via a deep learning model, using the OCT volume image. The health indication output indicates a level of association between the OCT volume image and a selected health status category for the retina. A map output for the deep learning model is generated using a saliency mapping algorithm, generating a map output for the deep learning model using a saliency mapping algorithm. The map output indicates a level of contribution of a set of regions in the OCT volume image to the health indication output generated by the deep learning model.

An apparatus includes a memory to store volumetric data representing a volumetric image of an anatomical region having a volume of interest (VOI), and a processing device operatively coupled to the memory. The processing device is to determine, based on the volumetric data, several voxels of the volumetric image. Each voxel has a respective uncertainty value representing a probability that the voxel belongs to the VOI. The processing device is further to generate beam control data to direct a treatment beam relative to the VOI based on the uncertainty values to meet a predetermined quality metric.

A method for automated steering of magnetically steerable intravascular guidewires includes accessing, by a magnetic steering control component, volumetric imaging associated with a patient. The magnetic steering control component generates, prior to an operation on the patient, a three-dimensional vessel map based, upon the accessed volumetric imaging. The magnetic steering control component generates, prior to the operation, a path through a vasculature of the patient. The magnetic steering control component displaying, prior to the operation, in a. graphical user interface, the three-dimensional vessel map and the path. The magnetic steering control component receives input representing a modification to the path and modifies the path based upon the received input. The magnetic steering control component directs, during the operation, at least one of a medical robot arm and a motorized, guidewire advancing unit to modify a location of a magnetically steerable intravascular guidewire in accordance with the modified path.

The disclosure relates to photocleavable crosslinkers that are suitable for preparing photodegradable hydrogels and to methods for volumetric imaging of biological specimens by photochemical sectioning and imaging of photodegradable hydrogels. A photocleavable crosslinker according to the disclosure can include one or more water-soluble hydrocarbon linkers, two or more reactive functional groups such as ethylenically unsaturated groups, and one or more photocleavable groups. A crosslinked hydrogel can be formed between the photocleavable crosslinker and other hydrogel monomers. The crosslinked hydrogel can be used as a matrix immobilize a biological or other sample material in a hydrogel composite. The hydrogel composite and the sample material therein can be volumetric imaged by sequentially and repeatedly optically imaging an image layer of the hydrogel composite and then photochemically sectioning a depolymerization layer of the hydrogel composite.

A method and system for generating a 3D volumetric image. The method and system comprise rotating about a rotation axis a light modulating surface comprising separately controllable light modulating regions located across the light modulating surface and controlling separately the modulation of the light modulating regions to generate the 3D volumetric image upon rotation of the light modulating surface about the rotation axis. A characteristic of two or more selected light modulating regions of the light modulating surface is then varied in accordance with respective spacings of the two or more selected light modulating regions from the rotation axis.

The system includes a processor and a display. The processor is configured to (i) receive a first three-dimensional (3D) ultrasound (US) image of a volume of a patient's organ, (ii) present at least first and second two-dimensional (2D) slices selected in the first 3D US image, (iii) receive first and second 2D contours including a region of interest (ROI) in the volume of the organ selected in the first and second 2D slices, respectively, and (iv) generate a second 3D US image of the ROI based on the first and second 2D contours. The display is configured to present the second 3D US image to a user.

A method for identifying a material boundary within volumetric image data is based on use of a model boundary transition function, which models the expected progression of voxel values across the material boundary, as a function of distance. Each voxel is taken in turn, and voxel values within a subregion surrounding the voxel are fitted to the model function, and the corresponding fitting parameters are derived, in addition to a parameter relating to quality of the model fit. Based on these parameters for each voxel, for each of at least a subset of the voxels, a candidate spatial point is identified, estimated to lie on the material boundary within the 3-D image dataset. The result is a cloud of candidate spatial points which spatially correspond to the outline of the boundary wall. Based on these, a representation of the boundary wall can be generated, for example a surface mesh.

A method is provided for generating an ultrasound image of an anatomical region having a volume. First image low resolution image data is enhanced by adapting a 3D anatomical model to the image data to generate a second, greater, quantity of ultrasound image data in respect of the anatomical region. The enhanced volumetric information is then displayed. An anatomical model is thus used to complete partial image data thereby increasing the image resolution, so that a high resolution volumetric image can be displayed with a reduced image capture time.

A method and apparatus for transmitting volumetric images in MPI format. According to an exemplary embodiment, the texture and alpha layers of a multiplane image are packed as tiles into a sequence of video frames. The sequence of video frames is then compressed to generate a video bitstream, which is transmitted along with a metadata bitstream specifying parameters for at least the packing arrangement of the tiles in the sequence of video frames. Exemplary packing arrangements include various selectable spatial and temporal arrangements for the texture layer, alpha layer, and camera view. In some examples, the metadata bitstream is implemented using SEI messages and includes parameters selected from a group including the size of the reference view, the number of layers in the multiplane image, the number of simultaneous views, one or more characteristics of the packing arrangement, layer merge information, dynamic range adjustment information, and reference view information.

A computer-implemented method of providing a neural network for predicting a three-dimensional shape of an interventional device disposed within a vascular region, includes: training (S140) a neural network (140) to predict, from received X-ray image data (120) and received volumetric image data (110), a three-dimensional shape of the interventional device constrained by the vascular region (150). The training includes constraining the adjusting of parameters of the neural network such that the three-dimensional shape of the interventional device predicted by the neural network (150) fits within the three-dimensional shape of the vascular region represented by the received volumetric image data (110).

A method of processing C-scan data, which comprises a sequence of B-scans of an imaging target acquired by an OCT imaging system, to generate correction data for compensating for axial displacements between B-scans in the sequence caused by a relative motion of the OCT imaging system and the imaging target that varies a distance therebetween during acquisition of the B-scans, the correction data being generated by determining, for each pair of adjacent B-scans of a plurality of pairs of adjacent B-scans in the sequence, a respective indicator of an axial shift between respective representations of a common ocular feature in the adjacent B-scans; and determining, from a variation of the determined indicators with locations of the corresponding pairs of adjacent B-scans in the sequence, a first frequency component of the variation which is indicative of the relative motion during acquisition of the B-scans.

An example computer-implemented method for image reconstruction, includes: receiving k-space data from a magnetic resonance imaging (MRI) machine, the k-space data comprising a plurality of k-space readouts; sorting the k-space readouts into a set of bins comprising binned k-space data, each of the set of bins corresponding to a respective phase of a respiratory cycle; iteratively performing the steps of: (i) computing a soft participation weight for each k-space readout, where the soft participation weight reflects a posterior probability that each k-space readout belongs to each of the set of bins; and (ii) updating an image estimate by solving a weighted optimization problem; determining a convergence criterion is reached; and outputting a motion-resolved volumetric MRI image when the convergence criterion is reached.

Various example embodiments of the present disclosure provide systems and methods for the dynamic correction and reduction of thermal variations in skull-induced aberrations during a focused ultrasound therapy procedure. Unlike conventional approaches involving static corrections for skull-induced aberrations, various example embodiments of the present disclosure employ ultrasound detection and a skull thickness estimate from volumetric image data to intermittently and dynamically determine corrections for skull-induced aberrations, such that aberration correction reduction is updated intraoperatively and maintained despite local thermally-induced changes in the speed of sound of the local skull region due to intraoperative intracranial heating. Furthermore, in some example embodiments, a measure dependent on the speed of sound with the skull is intraoperatively determined and compared to a previously determined value of the measure to determine a change in the skull temperature, based on a pre-determined relationship between changes in the measure and changes in skull temperature.

Embodiments are provided for improved analysis of surgically explanted pathology samples or other varieties of tissue sample by guiding the sectioning of those samples using high-resolution volumetric imaging data. Such imaging data can include micro-CT imaging data. Improved sample imaging and visualization methods facilitate pathological analysis of the sample, guiding the sectioning of the sample to planes most likely to provide highly valuable and accurate data about sample margins relative to tumors or other target structures, tissue type cell morphology or other properties of a tumor or other target structure, or other clinically relevant data that could be missed were the tissue sample not sectioned along such image-guided plane(s). A projector or augmented-reality device can be used to indicate, to a pathologist, the location of structures of interest within the sample and / or the location of a sectioning gig could be detected / controlled relative to a display of the imaging data.

The invention relates to a system and method for defining and displaying an alarm area of a patient anatomy. A surgical navigation system is provided. The surgical navigation system includes a display device and a memory device containing a volumetric image including a volumetric representation of a patient anatomy. The surgical navigation system also includes a controller in communication with the display and the memory device, the controller configured to: define a portion of the volumetric representation as an alarm boundary; defining a buffer surface surrounding the alarm boundary and offset from the alarm boundary by a predefined buffer distance; defining the buffer area as part of the volume image surrounded by the buffer surface; defining a part of the buffer area as a visual part of the buffer area; and controlling the display device to display that the visual portion of the buffer region overlaps the volumetric representation of the patient anatomy.

Various example embodiments of the present disclosure provide systems and methods for dynamic correction and reduction of thermal changes in skull-induced aberrations in focused ultrasound treatment procedures. Unlike conventional approaches that involve static correction of skull-induced aberrations, various example embodiments of the present disclosure employ ultrasound detection and skull thickness estimation from volumetric image data to intermittently and dynamically determine correction of skull-induced aberrations such that, despite local heat-induced changes in sound speed in local skull regions due to intraoperative intracranial heating, the aberration correction is reduced and maintained intraoperatively. Furthermore, in some example embodiments, a measure dependent on skull sound speed is determined intraoperatively and compared to a pre-determined measurement to determine a change in skull temperature based on a pre-determined relationship between the measure change and skull temperature change.

The invention discloses a 3D image automatic splicing method and system based on a three-dimensional c-shaped arm and terminal equipment, and relates to the technical field of medical image processing. The method comprises the following steps: receiving a plurality of three-dimensional volume images, and performing down-sampling processing and local feature detection on the three-dimensional volume images to obtain a plurality of three-dimensional volume image feature point coordinates and feature descriptors; based on the feature point coordinates and the feature descriptors, an affine transformation matrix between adjacent images is calculated, and the splicing direction between the images is determined; then calculating the size of the output image after final splicing and the offset of each three-dimensional volume image to be spliced; and sequentially splicing the three-dimensional volume images into a final output image according to the offset of each three-dimensional volume image, and carrying out seamless fusion processing on a spliced overlapping region. According to the splicing method provided by the invention, the defects that the three-dimensional c-shaped arm FOV is small and the global anatomical structure is inconvenient to observe can be overcome, a wider visual field is provided for doctors, and the doctors can conveniently diagnose the illness state.

The invention relates to a method and device for rendering, in an image plane, a volumetric image decomposed into a plurality of 3D Gaussians. The method comprises the following steps for at least one sample (P) to be reconstructed in the image plane (IP): - identifying a plurality of 3D Gaussians along a ray (R, R1, R2) traced from said sample; - projecting said 3D Gaussians as a plurality of 2D Gaussians into the image plane; - depending on an overlap criterion between at least two 3D Gaussians of the plurality on said ray, on the basis of parameters of said 2D Gaussians: - an accumulating step if said at least two 3D Gaussians overlap, - else a blending step.

The application discloses a 3D image automatic splicing method and system based on a three-dimensional C-shaped arm and a terminal device, and relates to the technical field of medical image processing. The application comprises the following steps: receiving a plurality of three-dimensional volume images, performing downsampling processing and local feature detection on the three-dimensional volume images, and obtaining three-dimensional volume image feature point coordinates and feature descriptors; based on the feature point coordinates and the feature descriptors, calculating an affine transformation matrix between adjacent images and determining a splicing direction between the images; then calculating the size of an output image after final splicing and the offset of each three-dimensional volume image to be spliced; and sequentially splicing each three-dimensional volume image into the final output image according to the offset of each three-dimensional volume image, and performing seamless fusion processing on the splicing overlap area. The splicing method provided by the application can overcome the defects of a small FOV of a three-dimensional C-shaped arm and inconvenience in observing global anatomical structures, and provide a wider field of view for doctors, thereby facilitating the doctors in diagnosing diseases.