A positioning apparatus and a positioning method has a control element and function 40 includes a radiograph acquisition element 41 that acquires radiograph data detected by two radiography systems selected from a group consisting of a flat panel detector, a DRR (Digital Reconstructed Radiograph) generation element 42 that generates DRR in two different directions by virtually performing fluoroscopic projection relative to the 3-dimensional CT data obtained through the network 17, a positioning element 43 that positions a CT to the X-ray fluoroscopic radiograph obtained from two radiography systems, and a displacement distance calculation element 44 that calculates a displacement distance of the tabletop 31 based on the gap between radiographs for improved positioning. The positioning element 43 has a multidimensional optimization element 45 and a 1-dimensional optimization element 46 that optimize parameters relative to rotation and translation of the fluoroscopic projection to maximize an evaluation function that evaluates a matching degree between the DRR and the X-ray fluoroscopic radiograph.

A method and apparatus for optimizing a blocking grating for cone beam CT image scattering correction, wherein the method comprises: scanning a blocking grating to establish a swinging model thereof; setting initial coordinates of the blocking grating along a longitudinal direction of a detector in an initial projection, and establishing an objective function between CBCT image data missing voxel values and the coordinates of the blocking grating along the longitudinal direction of the detector according to the swinging model; minimizing the objective function with a mesh-adaptive direct search algorithm to generate optimized coordinates of the blocking grating along the longitudinal direction of the detector. The present disclosure proposes a brand new scattering correction method not requiring any source compensation, performs a mathematical optimization modeling of the data missing caused by the blocking grating in the image domain, quantitatively evaluates the influence on the reconstructed image by a blocker, solves a geometric optimal structure of the blocker using a mesh-adaptive direct search algorithm, and lays a solid theory foundation for the scattering correction method based on the blocker measurement.

The radiographic system including a plurality of radiation detection apparatuses which detect radial rays and a combining processor which generates a long-size image by combining a plurality of radiation images obtained from the radiation detection apparatuses further includes an image correction unit which corrects the defective region in which the radiation detection apparatuses overlap with each other in the long-size image.

The present invention is directed to a system and method for performing tissue, preferably bone tissue manipulation. The system and method may include implanting markers on opposite sides of a bone, fractured bone or tissue to facilitate bone or tissue manipulation, preferably in-situ closed fracture reduction. The markers are preferably configured to be detected by one or more devices, such as, for example, a detection device so that the detection device can determine the relative relationship of the markers. The markers may also be capable of transmitting and receiving signals. An image may be captured of the bone or tissue and the attached markers. From the captured image, the orientation of each marker relative to the bone fragment may be determined. Next, the captured image may be manipulated in a virtual or simulated environment until a desired restored orientation has been achieved. The orientation of the markers in the desired restored orientation may then be determined. The desired relationship between markers may then be programmed into, for example, the detection device. Next, actual physical reduction and/or manipulation of the bone may begin. During the manipulation procedure, the orientation of the markers may be continuously monitored and when the markers substantially align with the virtual or simulated orientation of the markers in the desired restored orientation, an indicator signal is transmitted.

A medical image diagnosis apparatus according to an embodiment includes an input circuitry, a scan control circuitry, and a reconstruction control circuitry. The input circuitry receives a specifying operation for specifying, from a region of a first medical image acquired such that the first medical image contains less noise, a region for which a second medical image that is a higher-definition image than the first medical image is acquired. The scan control circuitry adjusts an irradiation region of X-rays in a slice direction and a channel direction such that a part corresponding to the region on which the specifying operation is received by the input circuitry is irradiated with the X-rays. The reconstruction control circuitry performs reconstruction, on the first medical image as an initial image, by the successive approximation method by using projection data collected after the irradiation region of the X-rays is adjusted by the scan control circuitry.

A radiography apparatus includes a radiation emitting device that irradiates a subject with radiation, a camera that captures an image of the subject to acquire a captured image of the subject, and a radiation detector that detects the radiation transmitted through the subject and generates a radiographic image of the subject. The driving state of at least one of the radiation emitting device or the radiation detector is controlled on the basis of whether the radiation detector is included in the captured image.

A method and apparatus for automated reconstruction of a 3D computed tomography (CT) volume from a small number of X-ray images is disclosed. A sparse 3D volume is generated from a small number of x-ray images using a tomographic reconstruction algorithm. A final reconstructed 3D CT volume is generated from the sparse 3D volume using a trained deep neural network. A 3D segmentation mask can also be generated from the sparse 3D volume using the trained deep neural network.

A system for assisting an x-ray operator with properly positioning a patient's body part to be x-rayed. The system uses a range sensor supported on an x-ray emitter to collect data about the patient's body part to be x-rayed. The collected data is transmitted to a processor and used to create a mapped envelope of the patient's body part. The processor compares the mapped envelope to a selected reference envelope. If the processor determines that the mapped envelope is not fully contained within the reference envelope, the processor will provide the x-ray operator with a negative notification, indicating that the patient's body part needs to be adjusted. If the processor determines that the mapped envelope is fully contained within the reference envelope, the processor will provide the x-ray operator with a positive notification, indicating the patient's body part is ready to be x-rayed.

The radiographic system including a plurality of radiation detection apparatuses which detect radial rays and a combining processor which generates a long-size image by combining a plurality of radiation images obtained from the radiation detection apparatuses further includes an image correction unit which corrects the defective region in which the radiation detection apparatuses overlap with each other in the long-size image.

A method for use in medical imaging of a patient including, with the patient immobilized with respect to an imaging reference frame, acquiring first digital imaging information including a first region of interest using a first imaging modality; processing the first digital imaging information to identify a feature for analysis; and using a second imaging modality to acquire targeted second imaging information for a second region of interest, the second region of interest corresponding to a subset of the first region of interest, wherein the second region of interest includes the feature for analysis. An apparatus for use in medical imaging comprising structure for immobilizing a patient with respect to an imaging reference frame; a first imaging system for acquiring first digital imaging information including a first region of interest using a first imaging modality; a processor processing the first digital imaging information using a diagnostic tool to identify a feature of interest; and a second imaging system for acquiring second imaging information using a second imaging modality, the second imaging information corresponding to a second region of interest including the feature for analysis.