Patent classifications
A61B6/4014
MULTI-SOURCE CONE BEAM COMPUTED TOMOGRAPHY
Disclosed herein is an apparatus comprising: a first radiation source configured to produce a first divergent radiation beam toward an object; a second radiation source configured to produce a second divergent radiation beam toward the object; and an image sensor; wherein the object is configured to rotate with respect to the image sensor, the first radiation source, and the second radiation source, and wherein relative positions among the image sensor, the first radiation source, and the second radiation source are fixed.
COMPUTER TOMOGRAPH
A computer tomograph operates by rigidly arranged x-ray tubes, which are components of emitter-detector elements, which form an emitter-detector ring opened by relocating one emitter-detector element. Each x-ray tube includes a cathode emitting electrons, and an anode arrangement having an anode. Each cathode has an orientation angle relative to the geometrical center axis of the computer tomograph. A tangential plane on the focal spot of the anode has a surface normal, which includes an anode angle with the center axis. X-ray radiation emitted from the focal spot is directed in a center radiation angle to an x-ray detector axially offset relative to the x-ray tubes. The quotient from the sum of the orientation angle, radiation angle and anode angle is between two ninths and two. Each cathode, interacting with an electrode arrangement of the x-ray tubes, produces a focal spot on one of selectable positions on the anode arrangement.
System and method for low-dose multi-spectral X-ray tomography
A multi-spectral tomography imaging system includes one or more source devices configured to direct beams of radiation in multiple spectra to a region of interest (ROI), and one or more detectors configured to receive the beams of radiation. The system includes a processor configured to cause movement in at least one of the components such that a first beam of radiation with a first spectrum is directed to the ROI for less than 360 degrees of movement of the ROI. The processor is also configured to process data detected by the one or more detectors, where the data results at least in part from the first beam of radiation with the first spectrum that is directed to the ROI for less than the 360 degrees of movement of the ROI. The processor is further configured to generate an image of the ROI based on the processed data.
Sequential monoscopic tracking
A method of sequential monoscopic tracking is described. The method includes generating a plurality of projections of an internal target region within a body of a patient, the plurality of projections comprising projection data about a position of an internal target region of the patient. The method further includes generating external positional data about external motion of the body of the patient using one or more external sensors. The method further includes generating, by a processing device, a correlation model between the projection data and the external positional data by fitting the plurality of projections of the internal target region to the external positional data. The method further includes estimating the position of the internal target region at a later time using the correlation model.
Image processing apparatus, X-ray diagnosis apparatus, and ultrasonic diagnosis apparatus
According to one embodiment, an image processing apparatus includes at least one of memory and processing circuitry. The memory stores a first medical image of a heart area acquired in a plurality of directions and a second medical image of the heart area acquired in real time. The processing circuitry is configured to set, based on the first medical image, each of a valve boundary line indicating a boundary between leaflets of a heart valve and an insertion point on an inner wall through which a catheter is inserted, generate a navigation graphic including the valve boundary line and the safety lines by generating a plurality of safety lines individually connecting the insertion point to ends of the valve boundary line, and superimpose the navigation graphic on the second medical image to generate a superimposed image.
Medical image processing apparatus and storage medium
A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry is configured to acquire time-series medical images including blood vessels of an examination subject, the time-series medical images being fluoroscopically captured in at least one direction at a plurality of points in time, generate a blood vessel shape model including time-series variation information about the blood vessels in an analysis region of the blood vessels on the basis of the acquired time-series medical images, and perform fluid analysis of blood flowing through the blood vessels on the basis of the generated blood vessel shape model.
MEDICAL IMAGE PROCESSING APPARATUS, X-RAY DIAGNOSTIC APPARATUS, AND STORAGE MEDIUM
In one embodiment, a medical image processing apparatus includes: processing circuitry configured to extract 3D blood vessel data of an object from 3D image data of the object, detect a tip position of a medical device moving in a blood vessel in real time from a fluoroscopic image of the object inputted during an operation, and calculate at least one of a recommended route and a recommended direction of the medical device from the 3D blood vessel data, a rough route of the medical device, and the tip position of the medical device; and a terminal device configured to display a 3D blood vessel image of the object generated from the 3D blood vessel data and to designate the rough route of the medical device on the 3D blood vessel image.
Machine learning spectral FFR-CT
A system (100) includes a computer readable storage medium (122) with computer executable instructions (124), including: a biophysical simulator (126) configured to determine a fractional flow reserve value. The system further includes a processor (120) configured to execute the biophysical simulator (126), which employs machine learning to determine the fractional flow reserve value with spectral volumetric image data. The system further includes a display configured to display the determine fractional flow reserve value.
Systems and methods for a stationary CT imaging system
Various methods and systems are provided for stationary CT imaging. In one embodiment, a method for an imaging system includes activating an emitter of a plurality of emitters of a stationary distributed x-ray source unit to emit an x-ray beam toward an object within an imaging volume, where the x-ray source unit does not rotate around the imaging volume, receiving the x-ray beam at a subset of detector elements of a plurality of detector elements of one or more detector arrays, sampling the plurality of detector elements to generate a total transmission profile, an attenuation profile, and a scatter measurement, generating a scatter-corrected attenuation profile by entering the total transmission profile, the attenuation profile, and the scatter measurement as inputs to a model, and reconstructing one or more images from the scatter-corrected attenuation profile.
IMAGING SYSTEM AND METHOD FOR RADIOGRAPHIC INSPECTION
The present disclosure relates to an imaging system and method for radiographic inspection. The imaging system for radiographic inspection includes an inspection area including an imaging area; a first ray source assembly, all the first targets of which are arranged in a first ray source plane; a first detector assembly, the plurality of first detector units of which are arranged in a detector plane, the detector plane and the first ray source plane are spaced apart from each other in a travelling direction of the object under inspection with a predetermined distance; and a ray source control device, configured such that when the region of interest of the object under inspection is at least partially located in the imaging area, the first ray source assembly emits X-rays simultaneously from at least two first targets to the imaging area at the same time.