Abstract: A radiographic system includes a storage unit configured to store a plurality of imaging methods in association with a plurality of imaging protocols, a determination unit configured to determine whether an imaging method of an imaging protocol associated with an examination order matches at least one of the plurality of imaging methods stored in the storage unit, and an image processing unit configured to apply, in a case where the determination unit determines that the imaging method matches at least one imaging method, an image processing condition of an imaging protocol corresponding to the at least one imaging method to a radiographic image captured based on the imaging protocol associated with the examination order.

Abstract: A data capture system for object dimensioning includes: a projector to project a structured light pattern onto a capture volume to illuminate an object in the capture volume; a depth sensor; a set of image sensors; and a processor configured to: responsive to detection of the object, control the depth sensor to obtain a depth scan of the object; based on the depth scan, determine an attribute of the object; select projection parameters based on the attribute; control the projector to illuminate the object according to the projection parameters; and control the set of image sensors to capture respective images of the object.

Abstract: A computational methodology for noninvasively assessing the severity of arterial stenosis and predicting the therapeutic outcome of interventional treatment for stenosis assessed as severe, mild, or in between based on patient's CT/MRI imaging data, ultrasound test data, and physio-pathological material properties. The method includes two major parts. The steps in the first part comprise receiving medical data, segmenting the anatomical three-dimensional geometry of the stenosed artery, setting up boundary conditions at inlet and outlets using the ultrasound velocity waveforms together with 3-element WinKessel model, and computing pulsatile pressure waveforms proximal and distal to the existing stenosis for TPI.

Abstract: The disclosure provides 3D reconstruction methods and devices. The method includes: obtaining data captured by the camera and data captured by the inertial measurement unit; obtaining a pose of the camera based on the data; obtaining an adjustment value of the pose of the camera and an adjustment value of bias of the inertial measurement unit; updating the pose of the camera based on the adjustment value of the pose of the camera; determining whether the adjustment value of bias of the inertial measurement unit is less than a preset value; in response to the adjustment value of bias of the inertial measurement unit being greater than or equal to the preset value, determining that a current loop for 3-dimensional reconstruction is an error loop; removing the error loop; and constructing a 3-dimensional model for surroundings of the camera based on the updated pose of the camera and remaining loops.

Abstract: A set of pre-operative images may be captured of an anatomical structure using an endoscopic camera. Each captured image is associated with a position and orientation of the camera at the moment of capture using image guided surgery (IGS) techniques. This image data and position data may be used to create a navigation map of captured images. During a surgical procedure on the anatomical structure, a real-time endoscopic view may be captured and displayed to a surgeon. The IGS navigation system may determine the position and orientation of the real-time image; and select an appropriate pre-operative image from the navigation map to display to the surgeon in addition to the real-time image.

Abstract: A system and method for performing automatic camera calibration is provided. The system receives a calibration image, and determines a plurality of image coordinates for representing respective locations at which a plurality of pattern elements of a calibration pattern appear in a calibration image. The system determines, based on the plurality of image coordinates and defined pattern element coordinates, an estimate for a first lens distortion parameter of a set of lens distortion parameters, wherein the estimate for the first lens distortion parameter is determined while estimating a second lens distortion parameter of the set of lens distortion parameters to be zero, or is determined without estimating the second lens distortion parameter. The system determines, after the estimate of the first lens distortion parameter is determined, an estimate for the second lens distortion parameter based on the estimate for the first lens distortion parameter.

Abstract: The present disclosure relates to identifying vehicles using wireless device identifiers. In accordance with aspects of the present disclosure, a system for identifying vehicles in a parking structure includes a camera configured to capture images of an area in the parking structure where the camera captures an image containing one or more vehicle(s), a detector configured to scan for wireless device identifiers in the area, and a processing system including an electronic storage. The processing system is configured to execute instructions to access the image containing the vehicle(s) in the area and access one or more wireless device identifier(s) scanned by the detector in the area, process the image containing the vehicle(s) to extract one or more license plate identifier(s) corresponding to the vehicle(s), and store in the electronic storage at least one record associating the license plate identifier(s) with the wireless device identifier(s).

Abstract: Techniques for improved camera calibration are disclosed. An image is analyzed to identify a first set of key points for an object. A virtual object is generated. The virtual object has a second set of key points. A reprojected version of the second set is fitted to the first set in 2D space until a fitting threshold is satisfied. To do so, a 3D alignment of the second set is generated in an attempt to fit (e.g., in 2D space) the second set to the first set. Another operation includes reprojecting the second set into 2D space. In response to comparing the reprojected second set to the first set, another operation includes determining whether a fitting error between those sets satisfies the fitting threshold. A specific 3D alignment of the second set is selected. The camera is calibrated based on resulting reprojection parameters.

Abstract: An X-ray image quality control system includes an image acquisition unit configured to acquire an X-ray image and determine the type of imaged body part and the type of projection mode. A quality detection unit is configured to detect an image defect in X-ray image with regard to the type of the imaged body part and/or the type of the projection mode. The quality control system effectively identifies image defects including inaccurate positioning, patient movement, external object artifacts, and poor exposure. The system provides feedback to the technician at the image acquisition point to adjust the image acquisition solution in a timely manner.

Abstract: Systems and methods of generating an orthodontic model are disclosed. The method may include: generating an initial model of a patient dentition; generating a target model of the patient dentition; defining a plurality of caps and a plurality of links, wherein each link connects two of the plurality of caps; generating a relaxed model of a dental appliance from the plurality of caps and the plurality of links; generating a deformed model of a dental appliance from the plurality of caps and plurality of links; and determining a plurality of movements, wherein the plurality of moments transform the relaxed model to the deformed model and wherein the moments are configured to direct the patient dentition from the initial model to the target model.

Abstract: A surgical planning system for the reconstruction of missing or damaged bone parts comprises processing circuitry for receiving 3D image data regarding at least one osseous donor area, processing the 3D image data into structured 3D image data where osseous portions are distinguished from soft tissues and/or vascular systems, reading in of 3D target data regarding a missing or damaged bone part, obtaining one or more 3D target curves in relation to the 3D target data and the 3D image data of the at least one osseous donor area, and segmenting the structured 3D image data with the osseous portions of the osseous donor area into segments, where the segments within the structured 3D image data are determined based on the 3D target data and an adaptation of sections of the one or more 3D target curves.

Abstract: A method and an apparatus for detecting a usage status of a parking space, an electronic device, and a storage medium are disclosed. The method comprises: obtaining a monitored image of a to-be-detected parking space; identifying lane line position information of the to-be-detected parking space from the monitored image; identifying vehicle information from the monitored image, wherein the vehicle information comprises vehicle position information; and determining a usage status of the to-be-detected parking space based on a positional relationship between the lane line position information and the vehicle position information. Determining the usage status of the to-be-detected parking space based on the positional relationship between the lane line position information and the vehicle information is less affected by external environmental factors, which thus may improve the accuracy of a detection result of the usage status of the parking space.

Abstract: A method and system for image processing are provided in the present disclosure. The method may include obtaining a plurality of source images generated by a plurality of imaging sensors. The method may also include processing each of the plurality of source images by: retrieving a plurality of source image blocks from the source image according to block position information associated with the corresponding imaging sensor; generating, for each of the plurality of source image blocks, a target image block based on the source image block; and forming a target image based on the generated target image blocks. The method may further include generating a combined image based on the target images.

Abstract: The present invention provides a system for detecting whether a subject having a target suffers from an Alzheimer's disease. The system includes a multi-harmonic generation microscope and a processor. The multi-harmonic generation microscope images the target by a second harmonic generation (SHG) and a third harmonic generation (THG) to respectively obtain an SHG image and a THG image. The processor couples to the multi-harmonic generation microscope and configures to add a first color to the SHG image and a second color to the THG image to respectively obtain a color-added SHG image and a color-added THG image, and combine the color-added SHG image and the color-added THG image to obtain a combined image, wherein the combined image is used to determine whether the subject suffers from the Alzheimer's disease.

Abstract: A method and a system for determining a center of resistance point of a tooth for orthodontic treatment planning are provided. The method comprises: obtaining a tooth mesh from image data associated with a tooth crown of a patient; identifying a mesiodistal center of the tooth crown; determining a reference plane in the image data to extend through the mesiodistal center; determining an intersection curve based on an intersection of the reference plane and the tooth mesh, the intersection curve following a shape of the surface of the crown at the reference plane; determining a tooth axis of the tooth crown based on the intersection curve; determining a crown height of the tooth crown based on the tooth axis; and determining the center of resistance of the tooth based on the determined crown height and the determined tooth axis.

Abstract: A system and a method measure volumetric changes of brain structures. The method includes initializing an intensity value of all voxels of a 3D voxel dataset representing the brain of a subject to an initial value preferentially equal to 0. For all voxels that belong to a segmented brain structure for which reference data of a longitudinal reference model exists, automatically executing the following steps: calculating a deviation of a volume change for the segmented brain structure from the longitudinal reference model, normalizing the deviation to obtain a quantitative value of the volume change on a same scale for voxel's belonging to different brain structures; and setting the intensity value of the voxels to the previously obtained quantitative value Q. The voxels of the 3D voxel dataset are displayed in a form of a longitudinal deviation map.

Abstract: An information processing apparatus determines, for an image to be processed including a first region having a first image quality and a second region other than the first region having a second image quality lower than the first image quality, whether or not a difference in image quality between the first image quality and the second image quality is equal to or larger than a predetermined value, converts, in a case where the determination unit determines that the difference between the first image quality and the second image quality is equal to or larger than the predetermined value, the image of the second region into an image having a third image quality higher than the second image quality, and generates a combined image by using the post-conversion image having the third image quality and the image of the first region.

Abstract: A system and method of multi-sensor object detection using point cloud projection is provided. The system uses a LiDAR system and a monocular camera to obtain point cloud data and image data of an object, respectively. A 3D bounding box is determined for the point cloud data and a 2D bounding box is determined for the image data. The LiDAR and camera are jointly calibrated, and the 3D object bounding box of the point cloud data is mapped to the corresponding 2D object bounding box of the image data. The system performs decision-level fusion on the point cloud data and the image data followed by a pixel-level fusion of the 3D object bounding box and the 2D object bounding box.

Abstract: To provide a camera calibration device and a camera calibration method which can easily calibrate a relationship between a machine coordinate system of a machine tool and a camera coordinate system of a camera. A camera calibration device calibrates an imaging means of a machine tool, the machine tool includes: a touch probe which acquires one point whose machine coordinates are known; a camera which images the one point and a pattern including a feature used for calibration; and a drive mechanism which moves a table or a spindle in two orthogonal directions and an image obtained by imaging the one point and the pattern and images obtained by imaging the pattern or/and the one point when the table or a machining machine is moved in the two directions are used to calculate an external parameter by calculating a positional posture relationship between the machine coordinate system and the pattern.

Abstract: An adhered substance detection apparatus of an embodiment includes a calculator and a determiner. The calculator calculates an edge feature for each cell based on edge vectors of pixels within the cell in a captured image, and further calculates a region feature for each unit region based on the calculated edge features of the cells within the unit region. The determiner determines an adherence state of an adhered substance on a lens of a camera based on the region feature. The calculator calculates, as the region feature, number of the cells having an edge strength of zero. When the number of the cells having the zero edge strength is equal to or greater than a predetermined number in a predetermined attention area in the captured image, the determiner determines not to perform a determination for detecting whether the lens of the camera is entirely covered by the adhered substance.