Abstract: Systems and methods are disclosed herein for proactive intervention in an industrial process involving a defoamer composition. Learning models are iteratively trained using historical input data sets comprising directly measured variables from the industrial process and correlations between combinations of the input data and respective process states. For a current input data set associated with the industrial process, and responsive to detected process attributes, an intervention event is determined with respect to at least a first defoamer component in a current composition. Models are utilized to predict, responsive to the intervention event, changes in target values within a specified range of target values for other components in the current composition and/or for directly measured variables as corresponding with a specified process state. Automatic control is performed for respective actuators to produce a new defoamer composition, and as needed to other actuators for the directly measured variables.

Abstract: The present disclosure relates to an imaging system and method. Specifically, an imaging system comprises: a positioning image acquisition unit, configured to acquire a positioning image of a scanning object; a monitoring slice image acquisition unit, configured to determine a key point corresponding to the position of a target region of interest in the positioning image by using a neural network, and acquire a monitoring slice image of the scanning object at the position of the key point; and a target region-of-interest segmentation unit, configured to segment the monitoring slice image to obtain the target region of interest. The present disclosure can accurately acquire the position of the monitoring slice, and can accurately obtain the target region of interest through segmentation by a cascaded coarse segmentation and fine segmentation.

Abstract: A method for planning a moving path of a machine table in a medical imaging system is described. The method includes determining a to-be-scanned region in an object 3D point cloud of the object based on a scanning plan, determining a center of gravity of the to-be-scanned region and a height of the center of gravity, determining a target height for positioning the machine table based on the height of the center of gravity and a central height of the scanning space, so that the height of the center of gravity is equal to the central height of the scanning space when the machine table is positioned at the target height, and planning the moving path of the machine table based on the determined target height. The scanning plan comprises positioning information of the to-be-scanned region relative to the object.

Abstract: A method for generating an object 3D point cloud in a medical imaging system comprising a machine table and a scanning device comprises: extracting a valid 3D point cloud in a valid region where the machine table is located from a global 3D point cloud based on a current height of the machine table and boundary information of the machine table, wherein the global 3D point cloud comprises 3D point clouds of an object and a surrounding environment thereof, and the object 3D point cloud is comprised in the valid 3D point cloud; and removing an environment 3D point cloud of the surrounding environment from the valid 3D point cloud to obtain the object 3D point cloud, wherein the surrounding environment comprises at least part of the machine table. In some embodiments, a moving path of the machine table in the medical imaging system is planned using the object 3D point cloud. In some embodiments, collision prediction of the object is performed in the medical imaging system using the object 3D point cloud.

Abstract: The present invention relates to a system and a method for calibration between coordinate systems of a 3D camera and a medical imaging apparatus. The calibration system includes a calibration tool having markers and a reference point that is aligned with a center of the medical imaging apparatus to serve as an origin of the coordinate system. Positions of the markers in the coordinate system of the medical imaging apparatus are calculated according to relative positions of the markers with respect to the reference point. A 3D camera captures images to determine positions of the markers in the coordinate system of the 3D camera. A calculation device calibrates the coordinate system of the 3D camera and the coordinate system of the medical imaging apparatus using the positions of the markers in the coordinate system of the 3D camera and the p in the coordinate system of the medical imaging apparatus.

Abstract: The present invention relates to a system and a method for calibration between coordinate systems of a 3D camera and a medical imaging apparatus. The calibration system includes a calibration tool having markers and a reference point that is aligned with a center of the medical imaging apparatus to serve as an origin of the coordinate system. Positions of the markers in the coordinate system of the medical imaging apparatus are calculated according to relative positions of the markers with respect to the reference point. A 3D camera captures images to determine positions of the markers in the coordinate system of the 3D camera. A calculation device calibrates the coordinate system of the 3D camera and the coordinate system of the medical imaging apparatus using the positions of the markers in the coordinate system of the 3D camera and the p in the coordinate system of the medical imaging apparatus.

Abstract: The present invention relates to a system and a method for calibration between coordinate systems of a 3D camera and a medical imaging apparatus and an application thereof.

Abstract: The present disclosure relates to an imaging system and method. Specifically, an imaging system comprises: a positioning image acquisition unit, configured to acquire a positioning image of a scanning object; a monitoring slice image acquisition unit, configured to determine a key point corresponding to the position of a target region of interest in the positioning image by using a neural network, and acquire a monitoring slice image of the scanning object at the position of the key point; and a target region-of-interest segmentation unit, configured to segment the monitoring slice image to obtain the target region of interest. The present disclosure can accurately acquire the position of the monitoring slice, and can accurately obtain the target region of interest through segmentation by a cascaded coarse segmentation and fine segmentation.

Abstract: An apparatus and method for configuring scan parameters for an imaging system are described. The method for configuring scan parameters includes acquiring an RGB image and a depth image of a scan object, computing physical parameters of the scan object according to the RGB image and the depth image of the scan object, and configuring, according to the physical parameters, scan parameters for scanning the scan object. In this way, the scan parameters for scanning the scan object can be automatically configured, which improves the efficiency and standardization of a scan process. Moreover, an appropriate configuration of scan parameters can further avoid rescanning and poor-quality scout images resulting from manual errors. An example apparatus that may be used to perform the method includes an acquisition unit for acquiring the RGB image, a first computation unit for computing the physical parameters, and a configuration unit for configuring the scan parameters.

Abstract: The present invention relates to a method and system for automatically setting a scan range. The method comprises: receiving an RGB image and a depth image of an object positioned on a scan table, respectively, by an RGB image prediction model and a depth image prediction model; generating an RGB prediction result based on the RGB image and a depth prediction result based on the depth image with respect to predetermined key points of the object, respectively, by the RGB image prediction model and the depth image prediction model; selecting a prediction result for setting the scan range from the RGB prediction result and the depth prediction result; and automatically setting the scan range based on the selected prediction result.

Abstract: The present invention relates to a 3D perspective indicator and a generation method therefor and an application thereof. The present invention specifically provides a 3D perspective indicator for a CT system and a generation method therefor as well as a method and an apparatus for controlling a scanning range in a CT system.

Abstract: Methods and systems are provided for estimating patient structure prior to a scan by a medical imaging system. As one example, a method may include acquiring depth images of a patient positioned on a table of the medical imaging system, correcting the depth images based on histogram data from the depth images, and extracting a three-dimensional structure of the patient based on the corrected depth images.

Abstract: Methods and systems are provided for estimating patient structure prior to a scan by a medical imaging system. As one example, a method may include acquiring depth images of a patient positioned on a table of the medical imaging system, correcting the depth images based on histogram data from the depth images, and extracting a three-dimensional structure of the patient based on the corrected depth images.

Abstract: The present invention relates to a method and system for automatically setting a scan range. The method comprises: receiving an RGB image and a depth image of an object positioned on a scan table, respectively, by an RGB image prediction model and a depth image prediction model; generating an RGB prediction result based on the RGB image and a depth prediction result based on the depth image with respect to predetermined key points of the object, respectively, by the RGB image prediction model and the depth image prediction model; selecting a prediction result for setting the scan range from the RGB prediction result and the depth prediction result; and automatically setting the scan range based on the selected prediction result.

Abstract: The present invention relates to a system and a method for calibration between coordinate systems of a 3D camera and a medical imaging apparatus and an application thereof.

Abstract: A method for generating an object 3D point cloud in a medical imaging system comprising a machine table and a scanning device comprises: extracting a valid 3D point cloud in a valid region where the machine table is located from a global 3D point cloud based on a current height of the machine table and boundary information of the machine table, wherein the global 3D point cloud comprises 3D point clouds of an object and a surrounding environment thereof, and the object 3D point cloud is comprised in the valid 3D point cloud; and removing an environment 3D point cloud of the surrounding environment from the valid 3D point cloud to obtain the object 3D point cloud, wherein the surrounding environment comprises at least part of the machine table. In some embodiments, a moving path of the machine table in the medical imaging system is planned using the object 3D point cloud. In some embodiments, collision prediction of the object is performed in the medical imaging system using the object 3D point cloud.

Abstract: The present invention relates to a 3D perspective indicator and a generation method therefor and an application thereof. The present invention specifically provides a 3D perspective indicator for a CT system and a generation method therefor as well as a method and an apparatus for controlling a scanning range in a CT system.