Abstract: Embodiments of the present application provide a magnetic resonance system and a shimming method and an imaging method thereof. The shimming method comprises: performing a scout scan on a subject to be examined, and obtaining phase data of a plurality of slice positions; determining three-dimensional space static magnetic field information according to the phase data of the plurality of slice positions; and determining a shimming value of a slice in a region of interest according to the three-dimensional space static magnetic field information.

Abstract: The physiological motion sensing apparatus for a magnetic resonance system includes: a sensor module, positioned relative to an examined subject of the magnetic resonance system. The sensor module is configured to sense the motion of the examined subject to generate a sense signal and transmit the sense signal to a processor of the magnetic resonance system via a wireless medium. A power supply module is configured to supply power to the sensor module; and a shielding housing that forms a shielded space. The power supply module is provided in the shielded space.

Abstract: A method for determining a radio frequency power compensation parameter includes: using a plurality of scan sequences to scan a phantom in a plurality of slice positions by using a plurality of excitation frequencies; acquiring a plurality of magnetic resonance signals from the phantom corresponding to the plurality of slice positions and the plurality of excitation frequencies; and determining, according to the plurality of magnetic resonance signals, radio frequency power compensation parameters corresponding to respective slice positions in a three-dimensional space at respective excitation frequencies.

Abstract: A tomosynthesis machine allows for faster image acquisition and improved signal-to-noise by acquiring a projection attenuation data and using machine learning to identify a subset of the projection attenuation data for the production of thinner slices and/or higher resolution slices using machine learning.

Abstract: A positioning method for a magnetic resonance imaging system comprises: acquiring a scattering parameter curve of a body coil during a process in which an examination table carrying a subject under examination enters a scanning bore of the magnetic resonance imaging system; acquiring the position of a part to be examined of the subject under examination on the basis of the scattering parameter curve; and moving the examination table on the basis of the position of the part to be examined such that the part to be examined is located at the center of the scanning bore.

Abstract: A method for magnetic resonance image quality assessment is provided. The method includes acquiring a magnetic resonance image; processing the magnetic resonance image to extract image parameters associated with a preset metric; and determining, on the basis of the image parameters, an image quality assessment result associated with the corresponding metric.

Abstract: Various methods and systems are provided for automatically registering and stitching images. In one example, a method includes entering a first image of a subject and a second image of the subject to a model trained to output a transformation matrix based on the first image and the second image, where the model is trained with a plurality of training data sets, each training data set including a pair of images, a mask indicating a region of interest (ROI), and associated ground truth, automatically stitching together the first image and the second image based on the transformation matrix to form a stitched image, and outputting the stitched image for display on a display device and/or storing the stitched image in memory.

Abstract: Embodiments of the present application provide a magnetic resonance system and a shimming method and an imaging method thereof. The shimming method comprises: performing a scout scan on a subject to be examined, and obtaining phase data of a plurality of slice positions; determining three-dimensional space static magnetic field information according to the phase data of the plurality of slice positions; and determining a shimming value of a slice in a region of interest according to the three-dimensional space static magnetic field information.

Abstract: Various methods and systems are provided for x-ray imaging. In one embodiment, a method for an image pasting examination comprises acquiring, via an optical camera and/or depth camera, image data of a subject, controlling an x-ray source and an x-ray detector according to the image data to acquire a plurality of x-ray images of the subject, and stitching the plurality of x-ray images into a single x-ray image. In this way, optimal exposure techniques may be used for individual acquisitions in an image pasting examination such that the optimal dose is utilized, stitching quality is improved, and registration failures are avoided.

Abstract: Embodiments of the present invention provide a method for identifying a body position of a detection object in medical imaging, a medical imaging system, and a computer-readable storage medium. The method comprises: receiving an image group by a trained deep learning network, the image group comprising a plurality of pre-scan images in a plurality of directions obtained by pre-scanning a detection object; and outputting body position information of the detection object by the deep learning network.

Abstract: The present application provides a breathing and motion monitoring method for an MRI system, an MRI system and method, and a storage medium. The MRI includes a scanner, a controller, and a signal processor. The scanner includes a radio-frequency transmit chain and a radio-frequency transmit coil, and an object under detection is positioned relative to the radio-frequency transmit coil. The controller is configured to control the scanner to perform a scanning sequence on the object under detection to acquire image data. The scanning sequence includes a radio-frequency excitation stage, a signal acquisition stage, and an idle stage. In the radio-frequency excitation stage, the radio-frequency transmit chain transmits a first radio-frequency pulse to the radio-frequency transmit coil.

Abstract: The present disclosure provides a medical imaging method and system and a non-transitory computer-readable storage medium. The medical imaging method comprises obtaining an original image acquired by an X-ray imaging system, and post-processing the original image based on a trained network to obtain an optimized image after processing. The medical imaging system comprises a control module, configured to obtain an original image of an object; a learning network module, configured to post-process the original image to obtain a post-processed image based on user preferences selected by one or more users; and an optimized module, configured to optimize the learning network based on generated images sent to the learning network module, wherein the generated images comprise the post-processed image previously obtained by the learning network module.

Abstract: The present invention provides a positioning method for a magnetic resonance imaging system, a magnetic resonance imaging system, and a non-transitory computer-readable storage medium. The positioning method for the magnetic resonance imaging system comprises: acquiring a scattering parameter curve of a body coil during a process in which an examination table carrying a subject under examination enters a scanning bore of the magnetic resonance imaging system; acquiring the position of a part to be examined of the subject under examination on the basis of the scattering parameter curve; and moving the examination table on the basis of the position of the part to be examined such that the part to be examined is located at the center of the scanning bore.

Abstract: The present application provides a medical imaging method and system and a non-transitory computer-readable storage medium. The medical imaging method comprises obtaining an original image acquired by an X-ray imaging system, and post-processing the original image based on a trained network to obtain an optimized image after processing.

Abstract: Provided in the present application are a magnetic resonance imaging system, a positioning method of an implant therefor, and a non-transitory computer-readable storage medium. The positioning method of the implant for the magnetic resonance imaging system includes: executing a first scanning sequence to obtain original image data and reconstructing an edge image of the implant on the basis of the original image data. The first scanning sequence includes: a radio frequency excitation pulse and a first layer selection gradient pulse corresponding to the radio frequency excitation pulse, the frequency of the radio frequency excitation pulse having a preset offset relative to a center frequency; and a radio frequency refocusing pulse and a second layer selection gradient pulse corresponding to the radio frequency refocusing pulse, the direction of the second layer selection gradient pulse being opposite to the direction of the first layer selection gradient pulse.

Abstract: Embodiments of the present invention provide a magnetic resonance scanning method and system and a computer-readable storage medium. The method comprises: when an imaging volume of an object is at a current position, performing a current imaging scan on the imaging volume based on a predicted overall BO field map at the current position.

Abstract: Various methods and systems are provided for x-ray imaging. In one embodiment, a method for an image pasting examination comprises acquiring, via an optical camera and/or depth camera, image data of a subject, controlling an x-ray source and an x-ray detector according to the image data to acquire a plurality of x-ray images of the subject, and stitching the plurality of x-ray images into a single x-ray image. In this way, optimal exposure techniques may be used for individual acquisitions in an image pasting examination such that the optimal dose is utilized, stitching quality is improved, and registration failures are avoided.

Abstract: Embodiments of the present invention provide a method for identifying a body position of a detection object in medical imaging, a medical imaging system, and a computer-readable storage medium. The method comprises: receiving an image group by a trained deep learning network, the image group comprising a plurality of pre-scan images in a plurality of directions obtained by pre-scanning a detection object; and outputting body position information of the detection object by the deep learning network.

Abstract: The present application provides a medical imaging method and system and a non-transitory computer-readable storage medium. The medical imaging method comprises obtaining an original image acquired by an X-ray imaging system, and post-processing the original image based on a trained network to obtain an optimized image after processing.