Abstract: The present disclosure provides a system and method for image data acquisition. The method may include obtaining image data of a subject including a first type of tissue and a second type of tissue. The method may include determining, based on the image data of the subject, a target portion including at least a portion of at least one of the first type of tissue or the second type of tissue. The method may include determining, based at least in part on the target portion represented in the image data, a scan mode corresponding to the target portion. The method may include causing an imaging device to acquire, based on the scan mode, image data of the target portion.

Abstract: Systems and methods for determining a target multi-source model of a radiation source corresponding to an energy spectrum is provided. The systems may obtain an initial multi-source model of the radiation source, which includes an initial phase space file that includes information of a plurality of simulated particles of a plurality of energy levels. The systems may estimate, based on the initial phase space file, a plurality of component PDD curves corresponding to the plurality of energy levels. The systems may obtain a measured PDD curve corresponding to radiation of the energy spectrum. For each energy level, the systems may determine, based on the plurality of component PDD curves and the measured PDD curve, a weight for the each energy level. The systems may further determine the target multi-source model of the radiation source based at least in part on the initial multi-source model and the weights.

Abstract: A method and system for myocardial information determination may be provided. Medical images of the heart of a target subject may be obtained. The medical images may be collected by performing a medical scan on the target subject when the target subject is injected with a first tracer. A target model that has been trained using training samples may be obtained. Each training sample includes label information collected using a second tracer. Blood flow information and/or cardiac function information of the heart of the target subject may be determined based on the medical images and the target model.

Abstract: A system and a method for PET imaging may be provided. Scan data of an object collected by a PET scan over a scan time period may be obtained. A plurality of target sets of scan data may be determined from the scan data based on a preset condition. Each of the plurality of target sets of scan data may correspond to a target sub-time period in the scan time period. One or more intermediate images corresponding to one or more sub-time periods different from the plurality of target sub-time periods in the scan time period may be generated based on the plurality of target sets of scan data. A target image sequence of the object may be generated based on the plurality of target sets of scan data and the one or more intermediate images.

Abstract: Systems and methods for image processing are provided. The systems obtain a plurality of images of a target subject that are captured consecutively over time. The target subject is injected with tracer and including a target body portion. For each of the plurality of images, the systems generate a sub-image of the target body portion by segmenting the image and transform the sub-image to generate a transformed sub-image in a standard space based on a template image of the target body portion. The standard space includes a plurality of template images of a plurality of body portions. The systems further determine an uptake variation curve indicating a change of tracer uptake in the target body portion over the time based on the transformed sub-images corresponding to the plurality of images.

Abstract: Systems and methods for interference signal collection and processing are provided. The systems may obtain initial signals and first interference signals collected in at least one first time window during an MR scan of a target subject. The nuclei in the target subject may be in an excited state in the at least one first time window. The initial signals may be collected by a receiving coil of an MRI device, and the first interference signals may be collected by an interference signal acquisition device. The systems may also determine second interference signals collected by the receiving coil in the at least one first time window based on the first interference signals. The systems may further determine imaging signals collected by the receiving coil in the at least one first time window by correcting the initial signals based on the second interference signals.

Abstract: The present disclosure provides methods and systems for lesion region identification. The methods may include identifying a target region corresponding to at least one reference organ from a first medical image of a target subject. The methods may include determining, based on the target region, a reference threshold used for lesion detection. The methods may further include identifying, based on the reference threshold, a lesion region from the first medical image.

Abstract: The present disclosure provides a noise reduction device. The noise reduction device may include a noise receiving component, a noise reduction component, a processing component, and a housing. The noise receiving component may be configured to receive acoustic noise information of a scanning environment where a medical device is located. The processing component may be configured to control the noise reduction component to generate sound information matching the acoustic noise information received by the noise receiving component. The housing may be configured to support the noise receiving component and the noise reduction component.

Abstract: The present disclosure provides a system and method for image data acquisition. The method may include acquiring physiological data of a subject. The physiological data may correspond to a motion of the subject over time. The method may include obtaining a trained machine learning model configured to detect feature data represented in the physiological data. The method may include determining, based on the physiological data, an output result of the trained machine learning model that is generated based on the feature data. The method may include acquiring, based on the output result, image data of the subject using an imaging device.

Abstract: Embodiments of the present disclosure provide a method and a system for determining an image control point. The method may include obtaining a first image; determining a plurality of initial control points in the first image; dividing the first image into at least two sub-regions; and determining, based on one or more features of the plurality of initial control points, one or more target control points in each of the at least two sub-regions.

Abstract: The present disclosure relates to an accelerating apparatus for a radiation device. The accelerating apparatus may include a plurality of acceleration cavity units including a plurality of acceleration cavities. Each of the plurality of acceleration cavity units may be configured to accelerate a radiation beam passing through an acceleration cavity. And the accelerating apparatus may further include a plurality of coupling cavity units each of which may include a coupling cavity. Two adjacent acceleration cavities may be electromagnetically coupled via the coupling cavity. The plurality of acceleration cavity units may have a plurality of holes each of which may be configured to be in fluidic communication with the corresponding coupling cavity. And an edge region of each of at least a portion of the plurality of holes may include continuously varying curvatures.

Abstract: The present disclosure is related to systems and methods for radiation. The method may include obtaining a plurality of reference images of a target of a subject and reference physiological motion information of the subject. The plurality of reference images and the reference physiological motion information may be acquired in a radiation period. The method may include establishing a correlation model based on the plurality of reference images and the reference physiological motion information. The method may include monitoring real-time motion information of the target based on the correlation model during a radiation operation performed during the radiation period.

Abstract: The present disclosure relates to systems and methods for determining true coincidence events. The systems and methods may determine original coincidence events based on time of occurrence of a plurality of single events. The systems and methods may also determine random coincidence events by processing the plurality of single events based on cycle offsets of detector units that detect the plurality of single events. A difference of any two cycle offsets may be greater than a predetermined coincidence window width. The systems and methods may then determine the true coincidence events based on the original coincidence events and the random coincidence events.

Abstract: The present disclosure may provide a radiation system including a first rotation portion, a second rotation portion, a treatment head, one or more imaging sources, and at least one detector. At least a portion of the treatment head may be disposed in the first rotation portion. At least one of the one or more imaging sources may be disposed in the second rotation portion. The second rotation portion may be able to rotate independently from the first rotation portion.

Abstract: The present disclosure is related to systems and methods for processing X-ray images. A method for processing an X-ray image may include obtaining an X-ray image; and determining a metal image based on the X-ray image by using a trained metal detection model. The metal image includes information of a metal object in the X-ray image.

Abstract: A method and a system for training an initial artifact removal model may be provided. One or more first initial images, one or more objective feature maps corresponding to the one or more first initial images, and one or more reference images corresponding to the one or more first initial images may be obtained. A trained artifact removal model may be generated by training the initial artifact removal model using the one or more first initial images, the one or more objective feature maps, and the one or more reference images.

Abstract: A method and system for determining a PET image of the scan volume based on one or more PET sub-images is provided. The method may include determining a scan volume of a subject supported by a scan table; dividing the scan volume into one or more scan regions; for each scan region of the one or more scan regions, determining whether there is a physiological motion in the scan region; generating, based on a result of the determination, a PET sub-image of the scan region based on first PET data of the scan region acquired in a first mode or based, at least in part, on second PET data of the scan region acquired in a second mode; and generating a PET image of the scan volume based on one or more PET sub-images.

Abstract: 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.

Abstract: The present disclosure relates to a cavity of a medical device. The cavity may include a bore and an accommodating cavity configured to provide an accommodating space for at least a portion of a couch in a radial direction of the bore. The accommodating cavity may be disposed on an inner wall of the bore and extend along an axial direction of the bore, and the accommodating cavity may be configured to form, with the bore, a connected space in which the at least a portion of the couch is allowed to move along an axial direction of the bore.

Abstract: The present disclosure relates to systems and methods for image processing. The system may obtain at least one image of an object. For each of the at least one image, the system may determine a recognition result of the image. The recognition result may include an image type of the image, a type of a lesion in the image, a region of the lesion in the image, and/or an image feature of the image. Further, the system may process the at least one image of the object based on at least one recognition result corresponding to the at least one image.