Patent classifications
A61B6/583
Method and system for calibrating an X-ray imaging system
A method for calculating during use the geometric parameters of an x-ray imaging system, an object or a patient to be observed being placed between the x-ray source and a detector of x-rays having passed through the object or patient, wherein it includes at least the following steps: detecting at least one marker on the object or the patient or in proximity to the object, the marker being of unknown 3D position, acquiring a plurality of 2D images for a plurality of viewpoints of the imaging system, detecting the position of at least one marker in each of the acquired 2D images, estimating the projection matrices corresponding to the projections of the object at various viewing angles and reconstructing in 3D the position of a marker on the basis of the estimation of the projection matrices.
Method and system for calibrating an imaging system
The disclosure relates to a system and method for medical imaging. The method may include: move, by a motion controller, a phantom along an axis of a scanner to a plurality of phantom positions; acquire, by a scanner of the imaging device, a first set of PET data relating to the phantom at the plurality of phantom positions; and store the first set of PET data as an electrical file. The length of an axis of the phantom may be shorter than the length of an axis of the scanner, and at least one of the plurality of phantom positions may be inside a bore of the scanner.
DEVICE FOR AN X-RAY IMAGING SYSTEM
A device, as disclosed, may be suitable for use with a tomographic imager comprising an X-ray source and a plane detector that are movable in rotation. The device (e.g., radiopaque device) includes a registration phantom that includes several radiopaque markers and that is placeable along a part of the spine of a patient at a predetermined distance from a volume of interest to be imaged. Several radiopaque screens, integral with the registration phantom, include a lower face, an internal face oriented toward the registration phantom, and an external face oriented toward the X-ray source (410), respectively towards the detector. The radiopaque device is configured so that, when it is placed on the back of a patient, at least part of the X-rays that pass from the X-ray source to the plane detector through the registration phantom see their intensity attenuated by passing through the radiopaque screens.
Fast 3D Radiography with Multiple Pulsed X-ray Sources by Deflecting Tube Electron Beam using Electro-Magnetic Field
An X-ray imaging system using multiple puked X-ray sources to perform highly efficient and ultrafast 3D radiography is presented. There are multiple puked X-ray sources mounted on a structure in motion to form an array of sources. The multiple X-ray sources move simultaneously relative to an object on a pre-defined arc track at a constant speed as a group. Electron beam inside each individual X-ray tube is deflected by magnetic or electrical field to move focal spot a small distance. When focal spot of an X-ray tube beam has a speed that is equal to group speed but with opposite moving direction, the X-ray source and X-ray flat panel detector are activated through an external exposure control unit so that source tube stay momentarily standstill equivalently. 3D scan can cover much wider sweep angle in much shorter time and image analysis can also be done in real-time.
SYSTEM AND METHOD FOR DETECTING INTERNAL LOAD BY USING X-RAY IMAGE OF CONTAINER
Provided is a system for detecting an internal load by using an X-ray image of a container. The system includes an X-ray imaging unit and configured to image a target with X-rays, a database that stores an X-ray reference image obtained by imaging a target having an empty interior according to X-ray imaging information including an X-ray imaging condition, a condition detection unit that acquires X-ray imaging information when the target is imaged, a comparison image selection unit that selects an X-ray reference image from the database, a matching unit that matches a difference between the X-ray image of the target and the selected X-ray reference image, and an internal load detection unit that obtains a difference image from the X-ray image and the X-ray reference image, and detects an internal loading image having no background of the X-ray image of the target through the obtained difference image.
Systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking
The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.
X-RAY DIAGNOSIS APPARATUS AND X-RAY DIAGNOSIS METHOD
An X-ray diagnosis apparatus according to an embodiment includes an imaging system and a processing circuitry. The imaging system is configured to perform an imaging process on an examined subject by emitting X-rays onto the examined subject. The processing circuitry is configured to execute the imaging process on the examined subject by controlling the imaging system in an imaging mode selected from between an X-ray fluoroscopy imaging mode for obtaining an X-ray projection fluoroscopic image of the examined subject and a Computed Tomography (CT) imaging mode for obtaining a CT image of the examined subject and is configured to perform a super resolution process corresponding to the imaging mode.
CALIBRATION METHOD AND DEVICE THEREFOR
A method of determining at least one x-ray scanning system geometric property includes the steps of positioning a calibration device inside a scanning chamber of the scanning device, the chamber being intersected by at least one fan beam of x-rays during a scanning operation, measuring a distance between the calibration device and at least one inner wall of the chamber, scanning the calibration device to produce an image of the calibration device, identifying pixels representing the a geometric feature of the calibration device in the image, determining a position and orientation of the pixels representing the geometric feature in the image and, determining a scanning system property based on the position and orientation of the pixels representing the geometric feature in the image. The position and orientation of the feature in the scanning chamber and the x-ray scanning system property may be determined simultaneously.
Stationary source computed tomography and CT-MRI systems
The present invention provides stationary CT architecture for imaging at a faster temporal resolution and lower radiation dose. In embodiments, the architecture features stationary distributed x-ray sources and rotating x-ray detectors. Provided is a stationary source computed tomography (CT) architecture comprising: a detector disposed on a rotatable gantry; an x-ray source disposed on a fixed ring; wherein the detector is disposed on the gantry in a manner such that the detector is capable of rotating around a subject and of receiving a signal from the x-ray source. Embodiments of the invention include a CT-MRI scanner comprising the stationary CT architecture.
Systems and methods for scatter correction of image
The present disclosure is related to a method for scattering correction of an image. The method may include obtaining an image of a subject and a reference image of air. The method may also include identifying an OOI from the image, the OOI including one or more pixels. For each pixel of the one or more pixels of the OOI, the method may also include determining an equivalent thickness of the OOI corresponding to the each pixel based on a pixel value of the each pixel and the reference image, and determining a scatter correction coefficient of the each pixel based at least in part on the equivalent thickness of the OOI corresponding to the each pixel. The method may further include correcting the pixel value of the each pixel using the corresponding scatter correction coefficient for each pixel of the one or more pixels of the OOI.