88 results about "Helical computed tomography" patented technology

Medical computed tomography (CT) data is processed as follows. Projection data obtained by scanning a subject is retrieved. The retrieved projection data is processed to reconstruct a three-dimensional image. A two-dimensional image is generated based on the reconstructed three-dimensional image. A disease or an uncertainty in an identification of the disease is identified in the two-dimensional image. The projection data or the three-dimensional image is reprocessed into an updated three-dimensional image such that at least one para-meter of the reprocessing is based on the disease or the uncertainty in the identification of the disease. An updated two-dimensional image is then generated based on the updated three-dimensional image.

A method and system for correcting detector defects in an X-ray microscope system based on deep learning. Normal geometry projections and offset geometry projections are collected for a given detector, mappings between defective regions and healthy regions are created, and a machine learning system is trained using these projections. The trained neural network system is then used to correct the tomographic projection dataset, thereby improving the image quality of the resulting reconstructed tomographic image volume set.

A cone beam breast computed tomography scanning system includes a vertical plane gantry subsystem pivotally connected to a foundation element for ergonomic patient positioning.

The invention relates to a detection system (100) for a computed tomography system (200). The detection system (100) comprises a first detector (110) and a second detector (120), each detector being configured for detecting X-ray radiation of the computed tomography system (200) impinging on a respective detector. The detection system further comprises a repositioning mechanism (130) configured for repositioning at least one of the first detector (110) and the second detector (120) relative to the other of the first detector (110) and the second detector (120).

Images are reconstructed from data acquired using an ultra-fast-pitch acquisition with a CT system. As an example, an ultra-fast-pitch acquisition mode in single-source helical CT (≥1.5) can be used to acquire data. A trained machine learning algorithm, such as a neural network, is used to reconstruct images in which artifacts associated with insufficient data acquired in the ultra-fast-pitch mode are reduced. An example neural network can include customized functional modules using both local and non-local operators, as well as the z-coordinate of each image, to effectively suppress the location- and structure-dependent artifacts induced by the ultra-fast-pitch mode. The machine learning algorithm can be trained using a customized loss function that involves image-gradient-correlation loss and feature reconstruction loss.

A method for providing thermal conductivity data relating to an anatomical structure, comprises: receiving first spectral computed tomography data relating to the anatomical structure; calculating a fat map of the anatomical structure and a water map of the anatomical structure based on the first spectral computed tomography data; calculating the thermal conductivity data relating to the anatomical structure based on the fat map and the water map; and providing the thermal conductivity data.

A computed tomography device comprises a gantry with an opening, and a radiation protection apparatus covering the opening. The radiation protection apparatus has a holding structure, a radiation protection curtain and a pivoting apparatus. An examination object can be inserted into the opening along a system axis of the gantry when the holding structure is in a first position relative to the gantry. The holding structure is pivotably mounted relative to the gantry about a pivot axis via the pivoting apparatus such that the holding structure can be lowered relative to the gantry from the first position to a second position by a first pivoting motion of the holding structure about the pivot axis. The radiation protection curtain is arranged on the holding structure. A lower region of the radiation protection curtain hangs down from the holding structure.

A system and method for producing a computed tomography (CT) medical image includes receiving x-rays passing through an object with a photon-counting detector system, which includes a plurality of detector pixels configured to generate a photon-counting signal in response to receiving each photon of the x-rays having passed through the object. The method also includes summing a charge associated with each photon received at a given detector pixel of the plurality of pixels to generate a charge integration signal, utilizing the charge integration signal to correct a count of the photon-counting signal for pileup-induced count losses to create a corrected photon-counting signal, and reconstructing an image of the object using the corrected photon-counting signal.

A cone beam breast computed tomography system includes a breast stabilization unit for maintaining the position and stability of a breast during imaging.

A mechanism for generating an artifact estimation image that represents the effect of cone-beam artifacts in a computed tomography (CT) image. This is achieved by identifying locations of gradients (i.e., abrupt changes in intensity) in an axis of the CT image that is parallel to a rotation axis of a CT system that generated the CT image, where each gradient represents a source of a cone-beam artifact. A look-up table is used to individually identify the effect of the cone-beam artifact on a region around each identified location of the gradient, thereby generating the artifact estimation image.

Provided are: a molded article having excellent strength and appearance; a method for producing the molded article; and a resin composition and a molding material for 3D printers, which are capable of providing the molded article. In one embodiment, provided is a molded article containing a thermoplastic resin and cellulose microfibers, the molded article being an output of a 3D printer and having a region having a thickness of 2.5 mm or more, at least one 2 mm * 2 mm * 2 mm cubic region selected from the location having a thickness of 2.5 mm or more so as not to include the outermost layer of the molded object has a porosity of 10 vol% or less as determined by an X-ray computed tomography (CT) method.

The present invention relates to a solution for determining the content of a fluid flow, especially for determining the gas fraction or density of the fluid flow at a predetermined rate. It includes a data storage device storing an assumed water liquid ratio value related to the flow, a gamma densitometer configured to measure the density in at least a defined section of the fluid flow in a predetermined time period, thus providing a density measurement of the fluid flow in said defined section, and storing a corresponding first density value and tomographic impedance measuring unit configured for providing a sequence of discrete tomographic measurements of the gas / liquid distribution of the flow at discrete time steps within said time period. The tomographic measuring unit also calculating the gas fraction and density for the fluid flow in the defined section for each discrete time step.

Example methods and systems for tomographic image reconstruction are provided. One example method can include obtaining two-dimensional (2D) projection data (310) and processing the 2D projection data using an AI engine (301) that includes a plurality of first processing layers (311), an interposed back-projection module (312), and a plurality of second processing layers (313). Example processing using the AI engine can include generating 2D feature data (320) by processing the 2D projection data using the plurality of first processing layers, reconstructing first three-dimensional (3D) feature volume data (330) from the 2D feature data using the back-projection module, and generating second 3D feature volume data (340) by processing the first 3D feature volume data using the plurality of second processing layers. Methods and systems for tomographic data analysis are also provided.

Methods and apparatus for generating a hybrid (e.g., fused) cone beam computed tomography (CBCT) scan using intraoral scan data. Methods and apparatus for more efficiently processing CBCT data are also described herein. Also described herein are methods and apparatus for enhancing dental and / or orthodontic treatment planning using hybrid CBCT and intraoral scan data, methods and apparatus for interactively presenting hybrid CBCT and intraoral scans and generating one or more treatment plans in conjunction with a user and / or a dental instrument for treating a patient according to a treatment plan that takes into account hybrid CBCT and intraoral scans.

The invention relates to an antenna arrangement (100) for SAR single pass tomography, comprising: a first receive antenna system (110) comprising a first support structure (114), a first cantilever (118) mounted at the first support structure (114), an inner receive antenna (112) attached at a first location of the first cantilever (118) and an outer receive antenna (111) attached at a second location different from the first location of the first cantilever (118), the inner receive antenna (112) and the outer receive antenna (111) of the first receive antenna system (110) being configured to receive an SAR signal at the same time, a second receive antenna system (120) comprising a second support structure (124), a second cantilever (128) mounted at the second support structure (124), an inner receive antenna (121) attached at a first location of the second cantilever (128) and an outer receive antenna (122) attached at a second location different from the first location of the second cantilever (128), the inner receive antenna (121) and the outer receive antenna (122) of the second receive antenna system (120) being configured to receive the SAR signal at the same time, a transmit antenna system (130) comprising a transmit antenna (131) configured to transmit the SAR signal; wherein the first receive antenna system (110) and the second receive antenna system (120) are arranged distant from each other, and wherein the first receive antenna system (110) and the second receive antenna system (120) each comprise a single positioning system having a positioning system sensor (116, 126).

The present invention addresses the problem of providing a compact X-ray CT device capable of performing vertical imaging and recumbent imaging. [Solution] An X-ray CT device according to the present embodiment is provided with a gantry main body, a first support part, and a second support part. The gantry has an imaging system relating to imaging of a subject and an opening into which the subject is inserted. The first support portion has a first rotation mechanism that rotates the stand body about the pitch axis and a plurality of first movement mechanisms that move the stand body in the vertical direction, and at least two of the plurality of first movement mechanisms are disposed so as to sandwich the pitch axis in the horizontal direction. The second supporting part is provided with a second rotating mechanism enabling the stand main body to rotate around the pitch axis and one or more second moving mechanisms enabling the stand main body to move in the vertical direction, the number of the second moving mechanisms is smaller than that of the first moving mechanisms, and the second moving mechanisms are arranged between the pitch axis and the end of the stand main body in the horizontal direction.

Volume-of-interest (“VOI”) imaging with computed tomography (“CT”) (e.g., VOI CT in a helical or axial acquisition geometry) is used to produce higher resolution, lower noise images with less radiation dose than is required for equivalent resolution and noise characteristics using standard data acquisitions. Truncation artifacts introduced by the VOI imaging are removed or otherwise reduced using a deep learning model that is trained to remove truncation artifacts from VOI images.

A computed tomography (CT) system includes a scanning unit having: an x-ray emitter; a detector arranged to receive x-rays emitted from the x-ray emitter during a scanning operation; and a manipulation unit arranged to rotate an object about an axis of rotation and to move the object through a plurality of positions along a path defined by the axis of rotation between the x-ray emitter and the detector. The CT system may also include a computing device including a memory storing computer executable instructions and at least one data processor. The processor is arranged to execute the instructions, the instructions causing the processor to perform operations, the operations comprising: receiving first data characterizing the path from the scanning unit; and receiving, from the scanning unit, second data characterizing one or more x-ray images of the object at at least one of the plurality of positions; determining a compensation to be applied to the second data based on the first data; reconstructing an image of the object based on the first data, the second data, and the compensation; and providing the reconstructed image.

An X-ray computed tomography (CT) apparatus includes an X-ray tube configured to radiate X-rays; a detector configured to detect X-rays radiated by the X-ray tube and passed through a subject; a reconstruction processing unit configured to reconstruct imaging data output by the detector and generate CT image data and material decomposition image data; a first inference unit configured to perform inference on the material decomposition image data; a second inference unit configured to perform inference on the CT image data; and a display control unit configured to cause a display unit to display at least one of an inference result of the first inference unit and an inference result of the second inference unit.

A method for determining a deformation field of at least one layer of paint applied to a support during crosslinking of the layer or the layers of paint is disclosed. The method includes a step (E1) of provision of a sample, a step (E2) of 3D tomographic measurement of the sample and a set of successive steps(S) repeated iteratively comprising a step (E3) of dynamic mechanical analysis of the sample subjected to at least one temperature cycle (C), a step (E4) of 3D tomographic measurement of the sample, a step (E5) of determining a deformation field of each layer of paint of the sample.

An X-ray Computed Tomography (CT) apparatus according to an embodiment includes storage circuitry and processing circuitry. The storage circuitry is configured to store therein a table keeping first information about an energy spectrum of X-rays in correspondence with second information about a focal point position of an X-ray tube. The processing circuitry is configured to obtain third information about an energy spectrum of X-rays emitted from the X-ray tube. The processing circuitry is configured to specify a corrected focal point position on the basis of the third information and the table.

A computer-implemented method of reducing noise in computed tomography, CT, image slices (1101..i, x i ) through an anatomical region, is provided. The method comprises: receiving CT data (120) representing the image slices (1101..i, x i ); adjusting an amount of noise in the image slices (1101..i, x i ) to provide de-noised image slices (I) having a similar amount of noise; and outputting the de-noised image slices (I).

A locking mechanism for an optical tomography device includes a male locking portion and a female locking portion. A protrusion of the male locking portion contacts a wall of a circumferential recess provided on a base end side cylindrical member of the female locking portion. In this state, the base end side cylindrical member is moved toward a base end side fixing member against the force of a spring. Then, the male locking portion is rotated, thereby moving the protrusion of the male locking portion into a locking space of the circumferential recess of the female locking portion, and locking the male locking portion and the female locking portion. The locking mechanism reliably locks the male locking portion of an optical probe and the female locking portion of a driving portion, and does not arbitrarily release the connection of the optical probe and the driving portion.

Various examples are provided related to predicting perfusion images from non-contrast scans. In one example, a method for predicting perfusion images includes generating perfusion maps of an organ of a subject from non-contrast computed tomography (NCCT) slices of the organ; processing the perfusion maps based upon weights determined by a Physicians-in-the-Loop (PILO) module; and generating synthetic computed tomography perfusion (CTP) maps from the processed perfusion maps, the synthetic CTP maps generated by deep learning-based multimodal image translation. In another example, a system includes at least one computing device that can generate prefusion maps of an organ from NCCT slices; process the perfusion maps based upon weights determined by a PILO module; and generate synthetic CTP maps from the processed perfusion maps using deep learning-based multimodal image translation. The CTP maps can be rendered for display to a user.

A computer tomography (CT) imaging system is disclosed. The CT imaging system includes a rotatable gantry and a lift. The rotatable gantry forms a bore defining an examination region. The rotatable gantry is oriented with a central axis thereof in a substantially vertical direction and is configured to scan one or more objects in a substantially horizontal plane. The lift is aligned with an opening of the examination region. At least a portion of the lift is sized to fit within the examination region and is configured to move the one or more objects into the examination region.

A volumetric additive manufacturing (VAM) process for producing a solid object having a surface layer of a multifunctional material patterned thereon involves: contacting a surface of a solid base object with a liquid composition containing a photo-initiator and a multifunctional material covalently graftable to the surface of the solid base object; and, selectively irradiating the composition at the surface of the solid base object with patterned light, the irradiating being tomographic, to initiate covalent grafting of the multifunctional material to the surface of the solid base object to pattern only a portion of the surface of the solid base object with a layer of the multifunctional material grafted thereon, where the portion of the surface of the solid base object corresponds to the selectively irradiated surface of the solid base object.

This disclosure relates to an X-ray computed tomography (CT) apparatus, an information processing system, an information processing method, and a non-transient computer-readable medium. The X-ray computed tomography (CT) apparatus includes: an X-ray tube configured to irradiate X-rays; a detector configured to detect X-rays irradiated by the X-ray tube and penetrating a subject; a reconstruction processing unit configured to reconstruct imaging data output from the detector and generate CT image data and material breakdown image data; a first inference unit configured to perform inference on the material breakdown image data; a second inference unit configured to perform inference on the CT image data; a third inference unit configured to perform inference on the composite image data; a selection unit configured to select the inference result of the third inference unit if the inference result of the first inference unit differs from the inference result of the second inference unit; and a display control unit configured to display the selected inference result.

For dosimetry, a miniaturized nuclear imaging system with a solid-state detector is used to determine the activity and / or injected dose of radiopharmaceuticals. By being sized to scan a syringe or vial, the solid-state detector can be used to determine the injected dose with higher accuracy than current dose calibrators and with less frequent use of calibration or normalization sources. The miniaturized nuclear imaging system reconstructs activity in the same way as a nuclear imaging system that scans patients, and therefore can be used to calibrate a dose model. A tissue mimicking phantom with a solid-state dosimeter measures the dose from a radiopharmaceutical that is used to calibrate the dose model.

Embodiments of the present disclosure provide compositions comprising compounds useful to make radiotracers for positron emission tomography imaging, as well as methods for making and using these compositions.

A method and apparatus is provided that uses a deep learning (DL) network to reduce noise and artifacts in reconstructed medical images, such as images generated using computed tomography, positron emission tomography, and magnetic resonance imaging. The DL network can operate either on pre-reconstruction data or on a reconstructed image. The DL network can be an artificial neural network or a convolutional neural network (e.g., using a three-channel volumetric kernel architecture). Different neural networks can be trained depending on the noise level, scanning protocol, or the anatomic, diagnostic or clinical objective of the reconstructed image (e.g., by partitioning the training data into noise-level range and training respective DL networks for each range). Further, the DL networks can be trained to mitigate artifacts, such as the cone-beam artifact.