Patent classifications
G06T2207/10116
Systems and methods for intraoperative spinal level verification
Systems and methods are provided in which intraoperatively acquired surface data is employed to verify the correspondence of an intraoperatively selected spinal level with a spinal level that is pre-selected based on volumetric image data. Segmented surface data corresponding to the pre-selected spinal levels may be obtained from the volumetric image data, such that the segmented surface data corresponds to a spinal segment that is expected to be exposed and identified intraoperatively during the surgical procedure. The segmented surface data from the pre-selected spinal level, and adjacent segmented surface data from an adjacent spinal level that is adjacent to the pre-selected spinal level, is registered to the intraoperative surface data, and quality measures associated with the registration are obtained, thereby permitting an assessment or a determination of whether or not the pre-selected spinal surface (in the volumetric frame or reference) is likely to correspond to the intraoperatively selected spinal level.
Method and system for detecting pneumothorax
Some embodiments of the present disclosure provide a pneumothorax detection method performed by a computing device. The method may comprise obtaining predicted pneumothorax information, predicted tube information, and a predicted spinal baseline with respect to an input image from a trained pneumothorax prediction model; determining at least one pneumothorax representative position for the predicted pneumothorax information and at least one tube representative position for the predicted tube information, in a prediction image in which the predicted pneumothorax information and the predicted tube information are displayed; dividing the prediction image into a first region and a second region by the predicted spinal baseline; and determining a region in which the at least one pneumothorax representative position and the at least one tube representative position exist among the first region and the second region.
Method of producing a custom-fit orthopedic immobilization device
A method and system for creating a custom-fit orthopedic cast comprises obtaining at least one measurements taken from at least one image of a body part, selecting a template cast, modifying the template cast according to the measurements taken from the at least one image to generate a custom cast model and rendering a custom cast based on the custom cast model.
Monitoring handling of an object
In order to reduce a radiation dose delivered to an object or an observer, a facility for monitoring handling of the object has an optical unit configured to direct ionizing radiation onto the object and also a filter element in order to attenuate a part of the ionizing radiation. An imaging unit may detect portions of the ionizing radiation passing through the object in order to create an image of the object. A view acquisition system may acquire a viewing movement, and a control unit is configured, during a first operating mode, to control a position of the filter element as a function of the viewing movement. The control unit is configured to identify a predefined sequence of viewing movements and, as a function thereof, to switch into a second operating mode. The position of the filter element is controlled during the second operating mode as a function of an image analysis.
Methods and systems for digital mammography imaging
Various methods and systems are provided for tracking a biopsy target across one or more images. In one example, a method includes determining a position of a biopsy target in a selected image of a patient based on an image registration process with a reference image of the patient, and displaying a graphical representation of the position of the biopsy target on the selected image.
3D segmentation using space carving and 2D convolutional neural networks
A system for generating a 3D segmentation of a target volume is provided. The system accesses views of an X-ray scan of a target volume. The system applies a 2D CNN to each view to generate a 2D multi-channel feature vector for each view. The system applies a space carver to generate a 3D channel volume for each channel based on the 2D multi-channel feature vectors. The system then applies a linear combining technique to the 3D channel volumes to generate a 3D multi-label map that represents a 3D segmentation of the target volume.
Storage medium, dynamic analysis apparatus, and dynamic analysis system
A non-transitory computer-readable storage medium storing a program causes a computer to perform an analysis process based on a radiation moving image in which a dynamic state of a specific site of a subject is captured. The program includes the analysis process in which, an analysis is performed based on the radiation moving image wherein when a plane in which the specific site is movable is to be a movable plane, the radiation moving image is obtained by irradiating radiation on the specific site in a state in which the radiation is orthogonal to the movable plane.
Method and systems for anatomy/view classification in x-ray imaging
Various methods and systems are provided for x-ray imaging. In one embodiment, a method for an image pasting examination comprises acquiring, via an optical camera and/or depth camera, image data of a subject, controlling an x-ray source and an x-ray detector according to the image data to acquire a plurality of x-ray images of the subject, and stitching the plurality of x-ray images into a single x-ray image. In this way, optimal exposure techniques may be used for individual acquisitions in an image pasting examination such that the optimal dose is utilized, stitching quality is improved, and registration failures are avoided.
System and method to compute a pixel sensitivity map of an imaging device
An image calibration method includes capturing and correcting a flood field image for background signal and effects of known image-panel features (dead/bad pixels). The corrected image is processed to separate frequencies characteristic of relative pixel sensitivities from frequencies characteristic of radiation energy fluence. The incident energy fluence has a known maximum in-field energy fluence gradient. A model that describes the incident energy fluence on a detector is generated or received. The corrected image may be modeled at frequencies at or below the maximum in-field energy fluence gradient. A pixel sensitivity matrix (PSM) is generated by adjusting the corrected image with the model of the incident energy fluence on the detector. For example, the corrected image signal may be divided by the model or the model may be subtracted from the corrected image. The PSM may be used to correct additional raw images captured by the detector.
Improved Systems and Visualization Methods for Intraoperative Volumetric Imaging of Tissue Samples
Systems and methods are provided for improved intra-operative micro-CT imaging of explanted tissue samples and for improved visualization of such samples. These embodiments provide for reduced scan times and the ability for radiologists to quickly receive useful scan imagery and to provide accurately-communicated recommendations to the operating surgeon. Improved scan visualization methods facilitate surgeon and radiologist interaction with the scan data, including of annotation, viewing, and reorientation to accurately reflect the orientation of imaged tissue samples relative to the body prior to explantation. Improved visualization methods include color-coded sample texturing to indicate sample orientation, color-coded tumor visualization to indicate proximity to sample margins, and intuitive methods for adjusting the location and orientation of two-dimensional visualizations relative to the sample.