1260 results about "Computed tomography" patented technology

A method and system for physiological gating is disclosed. A method and system for detecting and predictably estimating regular cycles of physiological activity or movements is disclosed. Another disclosed aspect of the invention is directed to predictive actuation of gating system components. Yet another disclosed aspect of the invention is directed to physiological gating of radiation treatment based upon the phase of the physiological activity. Gating can be performed, either prospectively or retrospectively, to any type of procedure, including radiation therapy or imaging, or other types of medical devices and procedures such as PET, MRI, SPECT, and CT scans.

This invention is a system, method, and article of manufacture for imaging tubular structures of the human body, such as the digestive tract of a living person, with a medical imaging device such as a computed tomography (CT) scanner and a computer work station. The system comprises receiving a first image data set representative of a portion of the colon in a prone position and a second image data set representative of a portion of the colon in a supine position, at a series of viewpoints. At each of the viewpoints, an image is generated of the colon in the prone and supine positions. The prone and supine images of the colon are simultaneously displayed on a screen display in a dual view mode.

The present invention provides, in general, compositions comprising a hydrogel and an agent, for example a therapeutic agent or an imaging agent, for locoregional delivery. In certain preferred embodiments of the invention, the hydrogel compositions are detectable by Magnetic Responance and CT Scan and are used for locoregional delivery of therapeutic agents, for example chemotherapeutic agents. The invention also features polymer matrix compositions comprising nanoparticles that can be loaded after polymerization with bioactive agents, for example a diagnostic agent or therapeutic agent.

The present invention provides for an improved scanning process having a first stage to rapidly identify a threat location and a second stage to accurately identify the nature of the threat. The improved scanning process maintains a high degree of accuracy while still providing an operationally desirable high throughput. One embodiment of the present invention provides an apparatus for identifying an object concealed within a container. It comprises a first stage inspection system having a Computed Tomography system to generate a first set of data and a plurality of processors in data communication with the first stage inspection system. The processors process the first set of data and are used to identify at least one target region. A second stage inspection system is then used to generate an inspection region, which is then positioned relative to the target region and made to at least partially physically coincide with the target region. A second set of data is produced specifically from the inspection region, which has a high degree of specificity for the material in the inspection region.

Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are commonly used to assess patients with known or suspected pathologies of the lungs and liver. In particular, identification and quantification of possibly malignant regions identified in these high-resolution images is essential for accurate and timely diagnosis. However, careful quantitative assessment of lung and liver lesions is tedious and time consuming. This disclosure describes an automated end-to-end pipeline for accurate lesion detection and segmentation.

A structure to generate x-rays has a plurality of stationary and individually electrically addressable field emissive electron sources with a substrate composed of a field emissive material, such as carbon nanotubes. Electrically switching the field emissive electron sources at a predetermined frequency field emits electrons in a programmable sequence toward an incidence point on a target. The generated x-rays correspond in frequency and in position to that of the field emissive electron source. The large-area target and array or matrix of emitters can image objects from different positions and/or angles without moving the object or the structure and can produce a three dimensional image. The x-ray system is suitable for a variety of applications including industrial inspection/quality control, analytical instrumentation, security systems such as airport security inspection systems, and medical imaging, such as computed tomography.

An ablation system including an image database storing a plurality of computed tomography (CT) images of a luminal network and a navigation system enabling, in combination with an endoscope and the CT images, navigation of a locatable guide and an extended working channel to a point of interest. The system further includes one or more fiducial markers, placed in proximity to the point of interest and a percutaneous microwave ablation device for applying energy to the point of interest.

A system (10) and method are provided for analyzing and displaying images rendered from data sets resulting from a scan of a patient. The images displayed include both two-dimensional and three-dimensional views of selected portions of a patient's anatomy, for example, a tubular structure such as a colon.

A method, system and computer readable medium for automated detection of lung nodules in computed tomography (CT) image scans, including generating two-dimensional segmented lung images by segmenting a plurality of two-dimensional CT image sections derived from the CT image scans; generating three-dimensional segmented lung volume images by combining the two-dimensional segmented lung images; determining three-dimensional lung nodule candidates from the three-dimensional segmented lung volume images, including, identifying structures within the three-dimensional segmented lung volume images that meet a volume criterion; deriving features from the lung nodule candidates; and detecting lung nodules by analyzing the features to eliminate false-positive nodule candidates from the nodule candidates.

A process for creating a dental model to avoid periodontal defects during planned dental work includes obtaining CT scan data and optical scan data of a patient's dentition and integrating the CT scan data and the optical scan data by at least one of surface to surface registration, registration of radiographic markers, and registration of optical markers of known dimensions, to produce a dental model that includes the dentition and underlying bone and root structures. The process then segments anatomic sites of the tooth roots and underlying bone. A plan for the dental work is then generated based on the segmented anatomic sites, whereby the plan avoids periodontal defects based on the knowledge of the anatomic sites of the roots and underlying cortical bones in the dental model.

A method and apparatus for automated liver segmentation in a 3D medical image of a patient is disclosed. A 3D medical image, such as a 3D computed tomography (CT) volume, of a patient is received. The 3D medical image of the patient is input to a trained deep image-to-image network. The trained deep image-to-image network is trained in an adversarial network together with a discriminative network that distinguishes between predicted liver segmentation masks generated by the deep image-to-image network from input training volumes and ground truth liver segmentation masks. A liver segmentation mask defining a segmented liver region in the 3D medical image of the patient is generated using the trained deep image-to-image network.

Geometries and configurations are provided for CT systems in which rotational loading is reduced, permitting higher speeds and lighter structures to be implemented in the systems. In certain embodiments a distributed and addressable rotating radiation source is provided with a rotating detector. In other embodiments a distributed and addressable stationary radiation source is provided with a rotating detector. In yet other embodiments a distributed and addressable radiation source is provided that rotates with respect to a stationary detector. The sources may be ring-like, arcuate and/or lines extending at least in the Z-direction. Sources may include a large number of distributed emitters arranged in lines, arcs and one- or two-dimensional arrays.

Disclosed are an optical navigation positioning system based on CT (computed tomography) registration results and a navigation method thereby. The system comprises a preoperative CT image guide input module, an image segmentation module, a body surface initial-registration module, a preoperative CT image and intraoperative two-dimensional ultrasound image module and an intraoperative navigation module. By combining virtual reality and intraoperative ultrasound, intraoperative positioning errors caused by factors such as breathing are compensated, and accordingly a target point for coronary artery bypass grafting is accurately positioned and navigated. Cardiac and coronary vessel tree in preoperative cardiac CT image data is manually segmented and reconstructed, an augmented virtual reality environment integrating endoscope and virtual endoscope is built by the aid of optical navigation apparatus and CT-ultrasound-based intraoperative registration error correction, and accordingly the target point of coronary artery bypass grafting is accurately positioned and navigated.

The invention provides a liver tumor segmentation method and device based on a CT (Computed Tomography) image. The method comprises the following steps: performing Gaussian denoising on CT image data of a liver, converting the denoised CT image data into standardized data of which a gray average is 0 and a variance is 1, and performing down-sampling operation; extracting a lesion slice and a normal tissue slice from a gold standard image of the CT image of the liver, and classifying the lesion slice and the normal tissue slice into a positive sample and a negative sample; constructing a multi-level depth convolutional neural network, training a model through a stochastic gradient descent to obtain a network model, and acquiring a coarse segmentation binary image of a tumor and a pixel-classification probability image through a classifier; performing morphological erosion operation on the coarse segmentation binary image of the tumor to obtain a foreground image needed by graph cut, performing subtraction operation on the binary image of a liver and the coarse segmentation binary image of the tumor, and performing the morphological erosion operation to obtain a background image corresponding to normal tissues of the liver; and constructing an undirected graph, and obtaining a finial segmentation region of the tumor through a graph cut optimization algorithm.

Disclosed are apparatuses and methods for delivering implants through a posterior aspect of a vertebral body such as a pedicle and placing the implant or performing a procedure into the anterior aspect of the vertebral body. A representative apparatus includes an outer cannula, and advancer tube and a drill assembly. It is envisioned that at least one of the outer cannula, the advancer tube or the drill assembly can be viewed in vivo using for example, a CT scan or fluoroscope. The present invention is also directed to an apparatus for forming an arcuate channel in bone material. The apparatus includes and advancer tube and a drill assembly.

Method and system for computed tomography. Data is collected by irradiating a subject with x-rays. The data is interpolated and then weighted based upon the data collection time. The interpolated and weighted data is then used to reconstruct the image using fan beam reconstruction. The weighting function may by shifted in time. Signals may be obtained from the subject and used to control exposure, reduce the dose and provide automatic volumetric cardiac reconstruction. The method and system can increase the temporal and spatial resolution, and reconstruct images at different timing.

A method of acquiring scatter data and image projection data in computed tomography is provided that includes attenuating a radiation source using a pattern of blockers arranged to provide blocked and unblocked regions of the radiation source, and acquiring image data and scatter data of a target using an imaging device. A scatter map in the projection image can be estimated by interpolation and/or extrapolation of the projection image using an appropriately programmed computer, subtracting the estimated scatter map from the projection image to obtain scatter-corrected projections, reconstructing a CBCT volume using a total variation regularization algorithm, and applying an iterative regularization process to suppress the noise level on the reconstructed CBCT volume. Reconstructing a CBCT volume can include using a total variation regularization algorithm and applying an iterative regularization process to suppress the noise level on the reconstructed CBCT volume, where scatter-induced artifacts are corrected in the projection image.

The CT threat resolution system includes an primary EDS scanning process to identify threats and the nature of threats and a plurality of secondary CT scanning processes to resolve threats. The primary EDS scanning process and secondary CT scanning processes can be either separate machines or multiple processes within a single scanner. The secondary scanning process may utilizes dual energy scanning and/or high resolution scanning to resolve threats based upon the nature of the threat. An alarm indicates threats which cannot be resolved by the secondary CT scanning process for further operator investigation. Threats may be reviewed and resolved by an operator before the secondary CT scanning process.

The invention discloses a high-resolution digital rock core modeling method. The high-resolution digital rock core modeling method comprises the following steps: firstly, scanning a rock core by X-ray CT (computed tomography); then acquiring the rock throat radius distribution from rock core mercury data, acquiring the rock core porosity radius distribution from rock core nuclear magnetism data, intercepting the part the pore throat radius of which is less than the CT scanning resolution as an input parameter of a random network method, wherein the selected intercepted value is relevant to the CT scanning resolution; comparing the digital rock core porosity obtained by CT scanning with the experiment measurement porosity, calculating the size of the lost porosity of the digital rock core by CT scanning, and constructing a porosity network model by utilizing the intercepted pore throat radius distribution by adopting the random network method, wherein the porosity of the generated network model is consistent with the porosity lost in CT scanning; and converting the porosity network model into the micro porosity digital rock core by applying gridding method, and overlapping the digital rock core constructed by a mercury injection nuclear magnetism method to the digital rock core scanned by CT by adopting a multi-scale integration method. The method breaks through the restriction of CT scanning resolution.

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 invention relates to simulating 2D X-ray images from 3D CT data. A user can access a repository of CT data of a patient's anatomy 2 by using a computer network system. The CT data has been obtained by a CT scanning of the patient 1. Firstly, the user retrieves the CT image data 3 and a 3D image is generated 4. Secondly, the user may orient the CT image in any orientation desirable with respect to a virtual X-ray source and a virtual image plane. And thirdly, a 2D X-ray image is simulated 6 from the chosen viewpoint and shown to the user.

To provide simple yet accurate stent graft fenestration, a patient-specific fenestration template is used as a guide for graft fenestration. To generate the fenestration template, a patient's medical imaging data such as CT scan data may be used to generate a 3-D digital model of an aorta lumen of the patient. The aorta lumen may encompass one or more branch vessels, which may be indicated on the 3-D digital model. Based on the 3-D digital model or a segment thereof, the fenestration template may be generated, for example, using 3-D printing technology. The fenestration template may include one or more holes or openings that correspond to the one or more branch vessels. To fenestrate a stent graft, the fenestration template is coupled to the stent graft so that the holes or openings on the fenestration template indicate the fenestration locations.

A technique is disclosed for detecting contraband by obtaining image data from a computed tomography machine and generating variance data and a variance map from the image data acquired. The method includes obtaining a mean density value and a variation value for each voxel of the image data, segmenting the voxels into discrete objects, and determining whether any of the discrete objects is contraband.

A system and method for CT guided instrument targeting including a radiolucent instrument driver; a robot and a control box. The robot includes a robotic module that positions the radiolucent driver about two directions coincident a predetermined point. The control device is connected to the robot and the radiolucent instrument driver. The control driver sends a robot control signal to the robot that causes the robotic module to place the radiolucent instrument driver in a desired orientation with respect to the predetermined point. After the radiolucent instrument driver is in the desired orientation, the control device sends a driver control signal to the radiolucent instrument driver that causes the radiolucent driver to insert a medical instrument or device through the predetermined point to a location proximate a target point in a patient.

A system and method are disclosed for computing a radiation dose delivered to a patient during a computed tomography (CT) scan of the patient. The CT image dataset generated during the scan of the patient, and one or more parameters relating to a x-ray source are used to calculate the radiation dose delivered to the patient as a function of the CT image data set and the one or more parameters of the x-ray source. The radiation dose is generally found by calculating a primary x-ray dose distribution and scattered x-ray dose distribution from the CT image dataset and taking the sum of the primary x-ray dose distribution and scattered x-ray dose distribution.

Methods of selecting or designing an implant to be used in a patient are provided. A CT scan of a patient's mouth is performed. A 3D CAD model of the patient's mouth is created utilizing data generated by the CT scan. Properties of the patient's mouth are determined based upon CT scan data and assigned to the 3D CAD model. A desired location for an implant is selected. A FEA simulation is performed on the 3D CAD model to choose an implant or to design an implant that optimizes a selected variable.

A compression rate is selected for a data file representing an image wherein an image source and an image characterization is identified. Selection of a compression rate can be based upon the image source and the image characterization. The image source can be medical imaging device such as x-ray, CT scan, MRI, mammogram, sonogram, or other types of images. The image characterization can be an anatomical content of the image, a purpose of study of the image, or a diagnostic value of the source of the image.

A computed tomography apparatus has a gantry with a measuring opening, with an x-ray source movable around the measuring opening for irradiating an examination area from different directions, a detector for registering corresponding sets of projection data, and at least one support table having a support plate. The gantry can be moved into a use position independently of the support table and the support table is fashioned such that the support plate extends through the measuring opening when the gantry assumes a use position.

The invention provides an analysis method of the corrosion action and the corrosion effect of a carbonate rock. The method comprises the following steps: detecting petrologic parameters, geological fluid characteristics and geological background parameters of a reservoir stratum of the carbonate rock; selecting a plunger sample, and preparing the plunger sample into a diagenetic fluid; performing weighing, physical property analysis, CT scan analysis and microscopic property analysis on the sample before experiment; performing a corrosion simulated experiment on the carbonate rock, and collecting the reaction generated liquid; performing the physical property analysis, the CT scan analysis and the microscopic property analysis on the sample after experiment; analyzing the content of Ca<2+> and Mg<2+> of the generated liquid; analyzing the corrosion action of the carbonate rock under different controlling factors, determining a three-dimensional structure and a microcosmic pattern of representation of a corrosion hole of the carbonate rock, and quantitatively assessing the corrosion hole of the carbonate rock and the communicated property evolution. By the method, the corrosion action and the corrosion benefits of the carbonate rock from an earth surface to the deep burying environment can be analyzed, and more accurate analytical data is provided for assessing and forecasting the favorable reservoir stratum of the carbonate rock.

The invention discloses a nasopharyngeal-carcinoma (NPC) lesion automatic-segmentation method and nasopharyngeal-carcinoma lesion automatic-segmentation systems based on deep learning. The method comprises: carrying out registration on a PET (Positron Emission Tomography) image and a CT (Computed Tomography) image of nasopharyngeal carcinoma to obtain a PET image and a CT image after registration;and inputting the PET image and the CT image after registration into a convolutional neural network to carry out feature representation and scores map reconstruction to obtain a nasopharyngeal-carcinoma lesion segmentation result graph. The method carries out registration on the PET image and the CT image of the nasopharyngeal carcinoma, obtains a nasopharyngeal-carcinoma lesion by automatic segmentation through the convolutional neural network, and is more objective and accurate as compared with manual segmentation manners of doctors; and the convolutional neural network in deep learning isadopted, consistency is better, feature learning ability is higher, the problems of dimension disasters, easy falling into a local optimum and the like are solved, lesion segmentation can be carried out on multi-modal images of the PET-CT images, and an application range is wider. The method can be widely applied to the field of medical image processing.