Abstract: A method for processing a medical image is provided. The method may include obtaining the medical image, and processing the medical image using a processing program. The processing program may include one or more optimized computation units. The one or more optimized computation units may be optimized by an instruction set supported by the at least one CPU. The instruction set may be configured to optimize at least one of an operation time of the processing program, a resource of the at least one CPU occupied by the processing program, and a count of instructions included in the processing program.

Abstract: A method for imaging may include directing a PET scanner to perform scans of a subject injected with a tracer during a first time period. The method may also include generating PET images by reconstructing the PET data that are generated by the PET scanner based on the scans of the subject. The method may also include determining a first portion of a blood input function of the tracer in the subject based on the PET images. The method may also include determining an integral of a second portion of the blood input function based on a kinetic model, the PET data, and the first portion of the blood input function. The method may also include determining kinetic parameters of the kinetic model based on the PET data, the first portion of the blood input function, and the integral of the second portion of the blood input function.

Abstract: The present disclosure is related to imaging systems and methods. The method includes obtaining optical image data of a subject to be scanned by a medical device. The method includes determining a scan range of the subject based on the optical image data. The scan range includes at least one scan area of the subject. The method includes determining at least one parameter value of at least one scan parameter based on the at least one scan area of the subject.

Abstract: The present disclosure provides a system and method for image reconstruction and processing. The method may include obtaining image data of an object acquired by an imaging device. The method may include determining one or more regions of interest (ROIs) of the object. The method may also include determining, based on each ROI of the one or more ROIs, a target portion of the image data corresponding to the ROI among the image data. The method may further include reconstructing, based on the target portion of the image data, one or more images of the ROI.

Abstract: The present disclosure provides image processing systems and methods. An image processing method may include identifying a target region of an image, wherein the target region includes a tubular structure to be segmented; constructing a distance field of the target region based on a trained model, wherein the distance field includes elements each of which is associated with a distance between the element and a predicted centerline of the tubular structure; and segmenting the tubular structure to obtain a segmented tubular structure based on the distance field and an optimum path algorithm.

Abstract: The present disclosure provides a method and system for correction projection data. The method includes: obtaining the entity projection data and the transformed projection data related to the imaging object, the transformed projection data includes the first projection data related to the pixel shading generated by the detector components; inputting the entity projection data, the transformed projection data to the trained correction model and obtaining the correction projection data. The correction model obtained through training realizes the efficient and accurate correction of multi-energy imaging/spectral radiography, so that the obtained correction projection data may be more in line with the complexity of the actual system, and the correction effect may be better.

Abstract: A system is provided in the present disclosure. The system may acquire a first set of echo signals and a second set of echo signals relating to a subject. The first and the second set may be generated by using an MR scanner to execute a first acquisition and a second acquisition on the subject, respectively. The first acquisition may include at least a first repetition and a second repetition with different repetition times. Each of the first and second repetitions may have a first flip angle. The second acquisition may include at least a third repetition and a fourth repetition with different repetition times. Each of the third repetition and the fourth repetition may have a second flip angle different from the first flip angle. The system may also perform a measurement on the subject based on at least one of the first set or the second set.

Abstract: A method for medical imaging may include determining a posture of an object and obtaining a first parameter of a pulse sequence to be applied to the object. The method may also include determining, based on the posture and the first parameter, a SAR distribution model and estimating, based on the SAR distribution model and a second parameter of the pulse sequence to be applied, a SAR distribution associated with the object under the pulse sequence to be applied. The second parameter is associated with calibration of the pulse sequence to be applied. The method may further include determining whether the estimated SAR distribution meets a condition and causing, in response to a result of the determination that the estimated SAR distribution associated with the object meets the condition, a scanner to perform an MR scan on the object according to the pulse sequence.

Abstract: A system and method for making an anti-scatter grid device is provided. The method may include providing a mold including one or more orientation structures arranged in first positions. The method may also include placing a plurality of plates including a first material into at least one of the orientation structures, and injecting a second material into a first cavity in the mold formed by the plurality of plates and the orientation structures. The method may further include separating the plurality of plates and the hardened second material from the mold to generate a first module.

Abstract: A method and system for image processing is provided. The method for image processing may include: obtaining an image data set, wherein the image data set includes a first set of volume data; and determining, by the at least one processor, a target anatomy of interest based on the first set of volume data. The determining of the target anatomy of interest may include: determining an initial anatomy of interest in the first set of volume data; and editing the initial anatomy of interest to obtain the target anatomy of interest. The target anatomy of interest may include at least one region of interest (ROI) or at least one volume of interest (VOI). The initial anatomy of interest may include at least one ROI or at least one VOI.

Abstract: A device may include a base, a transmission assembly, and a response assembly. The transmission assembly may be configured to move a component of a medical device. The transmission assembly may include a cable and a wheel connected to the base. An end of the cable may be connecting to a part of the component of the medical device. The response assembly may be connected to the transmission assembly. The response assembly may be configured to generate a response in response to a break of the cable.

Abstract: The present disclosure discloses a method for positioning. The method may include obtaining a scout image of a target object and inputting the scout image of the target object into a positioning model. The method may also include determining a positioning frame in the scout image based on an output result of the positioning model. The positioning model may be obtained by training based on training scout images and information of the gold standard positioning frames. Each of the gold standard positioning frames may be in, from, or determined based on one of the training scout images and used for scanning.

Abstract: The present disclosure provides a positron emission tomography (PET) system and an image reconstruction method thereof. The PET system may include a plurality of detector units arranged along an axial direction, each detector unit of the plurality of detector units being configured to generate a plurality of single event counts; a plurality of coincidence logic circuits, each coincidence logic circuit of the plurality of coincidence logic circuits being operably connected to at least one of the plurality of detector units; and a computing system configured to reconstruct an image by performing, based on a plurality of coincidence counts generated by the plurality of coincidence logic circuits, forward projection calculation and backward projection calculation.

Abstract: The present disclosure relates to a slip ring assembly. The slip ring assembly may include a first slip ring, a second slip ring, and a transmission component. The transmission component may be configured to facilitate at least one of: data transmission of the first slip ring, data transmission of the second slip ring, power transmission of the first slip ring, or power transmission of the second slip ring.

Abstract: The disclosure relates to a system and method for adapt a treatment plan. The method may include: obtaining an initial treatment plan of a region of interest, wherein the initial treatment plan includes a first initial treatment fraction and a second initial treatment fraction; causing a radiation treatment device to deliver the first initial treatment fraction; obtaining a treatment record related to the first initial treatment fraction; and generating an updated second treatment fraction based on the second initial treatment fraction and the treatment record.

Abstract: The present disclosure provides systems and methods for image generation. The methods may include obtaining a first medical image and a second medical image of a target subject. The first medical image may be generated based on first scan data collected using a first imaging modality, and the second medical image may be generated based on second scan data collected using a second imaging modality. The methods may include generating a pseudo-second medical image by transforming the first medical image. The pseudo-second medical image may be a simulated image corresponding to the second imaging modality. The methods may further include determining registration information between the first medical image and the second medical image based on the second medical image and the pseudo-second medical image.

Abstract: The present disclosure provides a system and method for CT image reconstruction. The method may include combining an analytic image reconstruction technique with an iterative reconstruction algorithm of CT images. The image reconstruction may be performed on or near a region of interest.

Abstract: The disclosure relates to a system and method for reconstructing a PET image. The method may include: obtaining PET data relating to an object collected by a plurality of detector units; determining functional status of the plurality of detector units; generating reconstruction data based on the functional status of the respective detector units and the PET data; and reconstructing a PET image based on the reconstruction data.

Abstract: A PET detecting module may include a scintillator array configured to receive a radiation ray and generate optical signals in response to the received radiation ray. The scintillator array may have a plurality of rows of scintillators arranged in a first direction and a plurality of columns of scintillators arranged in a second direction. A first group of light guides may be arranged on a top surface of the scintillator array along the first direction. The light guide count of the first group of light guides may be less than the row count of the plurality of rows of scintillators. A second group of light guides may be arranged on a bottom surface of the scintillator array. The light guide count of the second group of light guides may be less than the column count of the plurality of columns of scintillators.

Abstract: The present disclosure is related to systems and methods for isocenter calibration. The method includes providing a phantom including a first member and a second member with a fixed position relationship. The method includes acquiring, using a first device, at least one first image of the first member of the phantom. The method includes determining, based on the at least one first image, a first position relationship between a first isocenter of the first device and the first member. The method includes acquiring, using a second device, at least one second image of the second member of the phantom. The method includes determining, based on the at least one second image and the fixed position relationship, a second position relationship between a second isocenter of the second device and the first member. The method includes determining, based on the first position relationship and the second position relationship, a third position relationship between the first isocenter and the second isocenter.