A61B6/5264

SYSTEMS AND METHODS FOR IMAGE CORRECTION

The present disclosure provides a system and method for motion field generation and image correction. The method may include obtaining a plurality of first sets of magnetic resonance (MR) image data of an object generated based on a plurality of first sets of imaging sequences. The method may include obtaining a motion curve of the object. The method may include obtaining position emission tomography (PET) image data of the object generated in a scanning time period. The method may include generating one or more target motion fields corresponding to the scanning time period based on the plurality of first sets of MR image data and the motion curve. The method may include generating one or more corrected PET images by correcting, based on the one or more target motion fields, the PET image data.

SYSTEMS AND METHODS FOR CT IMAGING IN IMAGE-GUIDED RADIOTHERAPY

The present disclosure relates to a radiation system. The system may include a treatment assembly, an imaging assembly, a first gantry, and a second gantry. The treatment assembly may include a first radiation source configured to deliver a treatment beam and have a treatment region. The first gantry may be configured to support the first radiation source. The imaging assembly may include a second radiation source and a radiation detector. The second radiation source may be configured to deliver an imaging beam and the radiation detector may be configured to detect at least a portion of the imaging beam. The imaging assembly may have an imaging region. The second gantry may be configured to support the second radiation source and the radiation detector, wherein the second radiation source is located within the second gantry. The treatment region and the imaging region at least partially overlap.

SYSTEM AND METHOD FOR COMPUTER TOMOGRAPHY

The present disclosure relates to a method and a system for computer tomography imaging. The method may comprise obtaining original data; obtaining a preprocessing result by preprocessing the original data; obtaining intensity of the artifact based on the preprocessing result; and updating a damaged channel or the air correction table based on the intensity of the artifact. Updating the air correction table may comprise: obtaining a first air correction table corresponding to a first temperature of detector; obtaining real-time temperature of detector; and obtaining a second air correction table corresponding to the real-time temperature based on the real-time temperature and the first air correction table.

X-RAY DIAGNOSIS APPARATUS

According to an embodiment, there is provided that processing circuitry configured to determine a first radiation timing at which a subject is irradiated with an X-ray, based on information on motion of an object in X-ray image data, the information on motion being calculated by the X-ray image data, the X-ray image data being associated with an electrocardiographic waveform of the subject, and repeatedly irradiate the subject with an X-ray at the first radiation timing per cycle of the electrocardiographic waveform of the subject.

MEDICAL IMAGE PROCESSING APPARATUS, X-RAY DIAGNOSTIC APPARATUS, AND STORAGE MEDIUM

A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains X-ray images that are sequentially collected during a partial period of time in a cardiac phase of a subject who has a device inserted into the body. Then, the processing circuitry identifies a characteristic region of the device captured in a plurality of obtained X-ray images, and performs registration in which the position of the characteristic region identified in a reference image, which is one of the plurality of X-ray images, serves as the reference position, and in which the position of the characteristic region identified in the plurality of X-ray images collected after the reference image is adjusted based on the reference position.

Apparatus and methods for use with skeletal procedures
11490967 · 2022-11-08 · ·

3D image data of a skeletal portion is acquired. A location of a proximal portion of a tool is calculated and a location is derived of a distal portion of the tool with respect to the skeletal portion, with respect to the 3D image data. A display indicates the derived location. First and second 2D images of the distal portion of the tool are acquired from two different poses of a 2D imaging device with respect to the subject and registered with the 3D image data. The location of the distal portion with respect to the 3D image data of the skeletal portion is determined based on the registration and an identified location of the distal portion within the 2D x-rays. Based upon the determined location, the display updates the indicated location of the distal portion. Other embodiments are also described.

Thoracic diagnosis assistance system
09801555 · 2017-10-31 · ·

According to one implementation, the system includes, a capturing unit, a deforming unit, and a generating unit. The capturing unit captures a dynamic state of a thoracic portion to generate a plurality of frame images. The deforming unit sets a reference point in a position corresponding to each other among the plurality of generated frame images. The deforming unit extracts a lung field region from each of the frame images. The deforming unit deforms a shape of the lung field region so that a distance from the set reference point to an outline of an outer side of the lung field region becomes a certain distance. The generating unit analyzes a dynamic state in the lung field region and generates an analysis result image showing a result of the analysis in a corresponding position in the deformed lung field region.

X-ray diagnostic apparatus to identify a target in x-ray images

In an X-ray diagnostic apparatus of one embodiment, an image data generator sequentially generates X-ray images based on X-rays transmitted through a subject. An image processor executes: first processing where, in response to an instruction to start correction processing, a position of a target contained in a predetermined X-ray image is obtained as a reference position; and second processing where corrected images in which positions of the target are set at the reference position are sequentially generated from newly generated X-ray images. An image data storage unit stores therein information on a reference position with respect to each set of conditions of manipulation on the subject. Upon receiving the instruction to start correction processing, the image processor executes the second processing by using information on the reference position stored in the image data storage unit, in accordance with a set of the conditions of manipulation on the subject.

Method and apparatus for increasing field of view in cone-beam computerized tomography acquisition

A method and apparatus for Cone-Beam Computerized Tomography, (CBCT) is configured to increase the maximum Field-Of-View (FOV) through a composite scanning protocol and includes acquisition and reconstruction of multiple volumes related to partially overlapping different anatomic areas, and the subsequent stitching of those volumes, thereby obtaining, as a final result, a single final volume having dimensions larger than those otherwise provided by the geometry of the acquisition system.

Model regularized motion compensated medical image reconstruction

A medical imaging system (200) includes a masking unit (234), an image registration unit (238), a motion estimator (240) and a motion compensating reconstructor (244). The masking unit constructs a mask for each reconstructed volumetric phase image of a plurality of reconstructed volumetric phase images that masks portions of a corresponding image external to an anatomical model fitted to a segmented at least one anatomical structure, 5 wherein the plurality of reconstructed volumetric phase images include a target phase and a plurality of temporal neighboring phases reconstructed from projection data. The image registration unit registers the masked reconstructed volumetric phase images. The motion estimator estimates motion between the target phase and the plurality of temporal neighboring phases according to the model based on the registered masked reconstructed 10 volumetric phase images. The motion compensating reconstructor reconstructs a motion compensated medical image from the projection data using the estimated motion of the registered masked reconstructed volumetric phase images.