Systems and methods may be used for estimating instantaneous patient motion (a patient state). The patient state may be estimated based on a 3D reference volume and a stream of images, for example from an image acquisition device. The stream of images may be received in real-time, for example during a radiation therapy treatment. An example method may include encoding the 3D reference volume using a 3D encoder branch of a patient state generator network, encoding the stream of images using a 2D encoder branch of the patient state generator network, and combining the encoded 3D reference volume and the encoded real-time stream of images. The method may include estimating a 3D spatial transform that maps the 3D reference volume to a current patient state by decoding the combined encoding using a 3D decoder branch of the patient state generator network.

The present disclosure provides a system and method for image processing. The method may include obtaining multiple projection images of a subject acquired by an imaging device from multiple view angles; generating an initial slice image of the subject by image reconstruction based on the multiple projection images; determining, based on the multiple projection images, a target out-of-plane artifact of the initial slice image; and generating a corrected slice image by correcting the initial slice image with respect to the target out-of-plane artifact.

Systems and methods for determining a disease state of image elements are disclosed herein. An example method may include providing quantitative and non-quantitative images, determining a correspondence map of the quantitative images to an atlas, and determining candidate elements of the quantitative images by comparing the elements of the quantitative images to atlas elements of the atlas. The example method may also include localizing the candidate elements in the non-quantitative images, classifying the candidate elements based on properties of the non-quantitative images, and determining a disease state of the candidate elements.

Disclosed herein is a medical system (100, 300, 400) comprising a memory (110) storing machine executable instructions (120). The medical system further comprises an anatomical detection module (122). The anatomical detection module is configured for detecting an anatomical deviation in response to inputting tomographic medical scout image data (124). The anatomical detection module is configured for outputting a localization (126) of the anatomical deviation in the tomographic medical scout image data if the anatomical deviation is detected. The medical system further comprises a processor (104) configured for controlling the medical system. Execution of the machine executable instructions causes the processor to: receive (200) the tomographic medical scout image data, receive (202) the localization of the anatomical deviation from the anatomical detection module in response to inputting the tomographic medical scout image data into the anatomical detection module, and provide (204) a warning signal (128) if the localization is received.

The embodiment of the present disclosure discloses a method and a system for image acquisition, image quality evaluation, and medical image acquisition. The image acquisition method comprises obtaining an image of a target subject; obtaining, based on one or more evaluation models, one or more scores related to one or more evaluation indexes of the image; obtaining a quality evaluation result of the image based on the one or more scores related to the one or more evaluation indexes; and determining one or more acquisition parameters based on the quality evaluation result.

A radiographic imaging system includes an irradiating apparatus, a first clock, a radiographic imaging apparatus, a second clock and a hardware processor. The irradiating apparatus generates radiation. The first clock keeps time and works with the irradiating apparatus. The radiographic imaging apparatus generates image data based on received radiation. The second clock keeps time and works with the radiographic imaging apparatus. The hardware processor (i) obtains a clock value of the first clock at a predetermined time point and a clock value of the second clock at the predetermined time point respectively as first clock information and second clock information, (ii) makes a determination as to whether a specific condition is met based on the obtained first clock information and the obtained second clock information, and (iii) in response to the specific condition being met, performs a specific output.

A computer-implemented method for generating a motion corrected image is provided. The method includes receiving listmode data collected by an imaging system; producing two or more histo-image frames or two or more histo-projection frames based on the listmode data; providing the two or more histo-image frames or two or more histo-projection frames to an Artificial Intelligence (AI) system; receiving two or more AI reconstructed images from the AI system based on the two or more histo-image frames or the two or more histo-projection frames; and generating a motion estimation in reconstructed images by using a motion free AI reconstructed image frame as a reference frame.

The present disclosure relates to a method and system for reducing radiation dose in image acquisition. The method may include obtaining first image data of a subject related to a first scan of the subject. The first scan may be of a first type of scan. The method may include reconstructing a first image of the subject based on the first image data and generating a dose plan of a second scan based on the first image. The second scan may be of a second type of scan. The method may also include obtaining second image data of the subject related to the second scan of the subject. The second scan may be performed according to the dose plan.

A region correction device, method, and program make it possible to, when one of a plurality of regions is corrected to be reduced, determine the boundaries of a plurality of regions adjacent to the reduced region. A processor reduces a first region among a plurality of regions in response to an instruction to reduce the first region, the instruction being provided for a target image in which the plurality of regions are adjacent to each other, the plurality of regions being three or more regions different from each other. The processor derives a difference region representing a difference between the first region before reduction and the first region after reduction, the difference region being composed of a plurality of small regions. The processor assigns a plurality of adjacent regions adjacent to the first region to the difference region by sequentially expanding, in the difference region, the plurality of adjacent regions in units of the small regions from a boundary between the difference region and the plurality of adjacent regions.

A method comprises displaying, via an interactive interface, a medical scan and a plurality of prompts of each prompt decision tree of a plurality of prompt decision trees in succession, beginning with automatically determined starting prompts of each prompt decision tree, in accordance with corresponding nodes of each prompt decision tree until a leaf node of each prompt decision tree is ultimately selected. Labeling data indicating the ultimately selected leaf node of each prompt decision tree is determined for the medical scan.