Abstract: A scanning apparatus (110), a medical image obtaining method, and a medical image obtaining system (100) are provided. The scanning apparatus (110) comprises a gantry, a controller, a C-shaped arm, a radiation source (112), and a detector (113). The radiation source (112) and the detector (113) are arranged at both ends of the C-shaped arm. The C-shaped arm is connected to the gantry. The controller is configured to control a motion of the gantry to drive the C-shaped arm to move so as to scan a target object.

Abstract: A mammography system and a method for imaging at least part of a breast with the mammography system are disclosed. The method includes: obtaining pre-exposure images respectively corresponding to a plurality of phantoms by performing pre-exposure for each of the plurality of phantoms with a respective predetermined dosage, each phantom having its respective compression thickness and component composition; determining a relationship among a target grayscale, the compression thickness and the component composition by performing de-scattering processing on each pre-exposure image based on the compression thickness and the component composition of the phantom corresponding to the pre-exposure image; determining a target dosage for a target breast based on a compression thickness and a component composition of the target breast, and the relationship; and acquiring a main exposure image by performing exposure for the target breast based on the target dosage.

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 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: 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.

Abstract: Systems and methods for medical image reconstruction are provided. The systems may determine a target temporal resolution of a target scan on a target subject within a scanning angle range. The system may determine, based on the target temporal resolution, a plurality of reconstruction angle ranges each of which being within the scanning angle range. The system may obtain scan data acquired by causing an imaging device to perform the target scan on the target subject within the scanning angle range. The system may generate a plurality of reconstruction images corresponding to the plurality of reconstruction angle ranges based on the scan data.

Abstract: A method may include obtaining an image of a subject and determining a plurality of image blocks in the image. The method may also include extracting grayscale features from each of the plurality of image blocks and determining, based on the grayscale features, a segmentation threshold. The method may further include segmenting, based on the segmentation threshold, the image.

Abstract: The present disclosure provides a method for automated image acquisition and imaging processing. The method may include obtaining imaging information of an object. The method may include determining, based on the imaging information, at least target device positioning information of an imaging device. The method may include causing, based on the target device positioning information of the imaging device, the imaging device to be positioned to perform the image acquisition. The method may include providing, based on the inspection information, guidance information, the guidance information being configured to guide positioning of the object. The method may also include obtaining a target image from an imaging operation by the imaging device. Further, the method may include determining a target image processing algorithm of a medical image.

Abstract: A region-of-interest extraction method and an apparatus, and a device, a system and a storage medium are provided. The region-of-interest extraction method is applied to an X-ray imaging system. The X-ray imaging system includes a detector and an array X-ray source, the array X-ray source includes a plurality of X-ray sources having different projection angles, and imaging regions corresponding to the plurality of X-ray sources are formed on the detector.

Abstract: A method may include obtaining an original image. The method may also include determining a plurality of decomposition coefficients of the original image by decomposing the original image. The method may also include determining at least one enhancement coefficient by performing enhancement to at least one of the plurality of decomposition coefficients using a coefficient enhancement model. The method may also include generating an enhanced image corresponding to the original image based on the at least one enhancement coefficient.

Abstract: A method and a system for medical imaging may be provided. A first optical image of a target subject that includes a target region to be scanned or treated by a medical device may be obtained. At least one body part boundary and at least one feature point of the target subject may be identified using at least one target recognition model from the first optical image. An image region corresponding to the target region of the target subject may be identified from the first optical image based on the at least one body part boundary and the at least one feature point. At least one first edge of the image region may be determined based on the at least one body part boundary, and at least one second edge of the image region may be determined based on the at least one feature point.

Abstract: The present application relates to a detection circuit for detecting a detector removal fault. The detection circuit comprises: a switching circuit. The switching circuit comprises one or more switching elements; an energy storage element; and a control circuit for controlling the energy storage element to discharge by controlling the one or more switching elements to perform an opening or closing action. The control circuit is configured to cause the energy storage element to discharge based on a first loop if the detector is removed from the diode bases, and to cause the energy storage element to discharge based on the first loop and a second loop including the terminal resistor if the detector is not removed from the diode bases. The control circuit is further configured to detect the detector removal fault based on an output voltage of the area monitoring module during discharge process.

Abstract: Systems and methods for medical image processing. The method may include obtaining a contrast image of an object and at least one mask image of the object. The method may further include extracting a plurality of target structures from the at least one mask image by using one or more preset processing algorithms. The method may further include generating a subtracted image by subtracting the plurality of target structures from the contrast image.

Abstract: A method for image processing is provided. The method may include: obtaining a plurality of frames, each of the plurality of frames comprising a plurality of pixels; determining, based on the plurality of frames, whether a current frame of the plurality of frames comprises a moving object; in response to determining that the current frame includes no moving object, obtaining a first count of frames, and generating a target image by superimposing the first count of frames; in response to determining that the current frame includes a moving object, obtaining a second count of frames, and generating the target image by superimposing the second count of frames.

Abstract: The present disclosure provides a method and system for a dynamic fluoroscopy of a C-shaped arm device. The method comprises: photographing a subject during a photography cycle, obtaining, during the photography cycle, first fluoroscopic data of a radiation source irradiating the subject at a first energy, and obtaining second fluoroscopic data of the radiation source irradiating the subject at a second energy different from the first energy (210); photographing the subject in multiple successive photography cycles (220); and displaying a dynamic image of the subject based on the first fluoroscopic data and the second fluoroscopic data obtained in each of the multiple successive photography cycles (230).

Abstract: Systems and methods for image processing are provided. The method may include obtain an image sequence. The method may also include determine one or more sets of images from the image sequence, wherein each of the one or more sets of images includes one image or a plurality of consecutive images from the image sequence. The method may further include perform an image processing operation on at least one set of the one or more sets of images. The one or more image processing operation may include one or more of image segmentation, visualization, and image enhancement.

Abstract: The present disclosure provides methods for path planning, and methods, devices, and systems for determining operation guidance information. The methods include obtaining an X-ray image of a target object, and marking a location of a lesion on the X-ray image of the target object; obtaining an ultrasonic image of the target object, and obtaining a fused image by fusing the ultrasonic image of the target object with the marked X-ray image; and obtaining a planned path by performing a path planning based on a location of the lesion in the fused image. According to the methods provided herein, the problem that a single medical image providing relatively little information and without effective reference for surgery can now be solved. The surgical instrument can be implanted based on the planned path, thereby improving the success rate of surgery and reducing surgical complications.

Abstract: The embodiments of the present disclosure provides a method for determining parameters related to a medical operation. The method includes obtaining optical image information of a target object, determining target part information of the target object, and determining the parameters related to the medical operation at least based on the optical image information and the target part information.

Abstract: The present disclosure provides a system for imaging via an imaging device including a plurality of radiation sources. Each of at least a portion of the plurality of radiation sources may be configured with a beam stop array that is configured to block at least a portion of radiation beams emitted by the radiation source. For one of the at least a portion of the plurality of radiation sources, the system may determine, based on a scatter distribution, first image data, and second image data, third image data of a subject corresponding to each of the at least a portion of the plurality of radiation sources. For each of at least a portion of the plurality of radiation sources, the system may further determine, based on image data of the subject, target image data of the subject using a calibration model.

Abstract: A scanning apparatus (110), a medical image obtaining method, and a medical image obtaining system (100) are provided. The scanning apparatus (110) comprises a gantry, a controller, a C-shaped arm, a radiation source (112), and a detector (113). The radiation source (112) and the detector (113) are arranged at both ends of the C-shaped arm. The C-shaped arm is connected to the gantry. The controller is configured to control a motion of the gantry to drive the C-shaped arm to move so as to scan a target object.