Abstract:
Systems, methods and apparatus are provided through which in some embodiments, row-correlated noise of a digital X-ray detector is monitored during idle operation of the digital X-ray detector and the magnitude of the row-correlated noise is compared to a visible threshold.
Abstract:
Systems and methods are provided for offset correction of images from a flat panel detector. In some embodiments, the apparatus and method develops one or more offset maps, acquired during system idle, for the imaging system at a plurality of exposure windows. In some embodiments, exposure parameters acquired for the imaging system before image acquisition are used to select an offset map to subtract from subsequent X-ray images. In some further embodiments, executable instructions are disclosed for directing a processor to compile one or more offset map and exposure parameters to subtract based on a selected offset map noise elements from X-ray images and thereby minimizing the time between image acquisition and display of processed images.
Abstract:
A method, apparatus and computer program product are provided for constructing a diagnostic network model in a more efficient and timely manner and with improved consistency. A structured electronic representation of a document is automatically reviewed to identify the symptoms experienced by the complex system, the plurality of components of the complex system and the causal relationships between a failure of the respective components and the occurrence of the various symptoms. Respective probabilities can be associated with the causal relationships between the symptoms and the failure of the various components. A network model, such as a Bayesian network model, may then be automatically constructed to represent the symptoms, the components, the causal relationships between failure of the components and exhibition of the symptoms, and the probabilities of the respective causal relationships.
Abstract:
An automatic exposure control for an x-ray system using a large area solid state x-ray detector (26) includes an exposure control (36, 34) arranged to generate data of interest within the data generated by the detector and to adjust the dosage of x-rays to a predetermined level in response to data of interest so that an x-ray image of a patient is generated using the predetermined level.
Abstract:
Disclosed herein is a radiographic imaging system which performs system performance monitoring by (1) using automatic exposure control (AEC) components to predict the average image gray level; (2) obtaining measured average image gray levels from the portions of the X-ray detector situated in the X-ray shadow of the AEC components; and then (3) comparing the predicted and measured values. The predicted values are determined by use of a prediction model which is modified by a learning system over successive exposures to provide more accurate predictions. After the learning system has sufficiently developed the prediction model, the error between the predicted and measured gray level values may be monitored in later exposures and an error routine can be activated if the error exceeds a predetermined threshold. In this case, the error may indicate that system components in the imaging chain (e.g., the detector or AEC components) require maintenance.
Abstract:
A method for controlling a X-ray radiography system includes acquiring data from a digital X-ray detector, characterizing electromagnetic interference based upon the acquired data, selecting an electromagnetic interference compensation algorithm based upon the characterized electromagnetic interference, acquiring X-ray imaging data via the digital X-ray detector based upon the selected electromagnetic interference compensation algorithm, and processing the X-ray imaging data to produce image data capable of reconstruction in a user viewable form.
Abstract:
An X-ray imaging method includes in a digital X-ray detector including an array of discrete picture elements each including a photodiode and a transistor, applying a first voltage to the transistors of the discrete picture elements. The method also includes preparing for acquisition of X-ray image data by sampling data from the discrete picture elements while applying a second voltage to the transistors of the discrete picture elements not then being sampled, the second voltage being more negative than the first voltage. The method further includes receiving X-ray radiation on the detector from a source. The method yet further includes sampling X-ray image data from the discrete picture elements while applying the second voltage to the transistors of the discrete picture elements not then being sampled.
Abstract:
An X-ray imaging method includes in a digital X-ray detector including an array of discrete picture elements each including a photodiode and a transistor, applying a first voltage to the transistors of the discrete picture elements. The method also includes preparing for acquisition of X-ray image data by sampling data from the discrete picture elements while applying a second voltage to the transistors of the discrete picture elements not then being sampled, the second voltage being more negative than the first voltage. The method further includes receiving X-ray radiation on the detector from a source. The method yet further includes sampling X-ray image data from the discrete picture elements while applying the second voltage to the transistors of the discrete picture elements not then being sampled.
Abstract:
An X-ray imaging system includes a digital X-ray detector configured to acquire X-ray image data without communication from a source controller and to send the X-ray image data to a portable detector control device for processing and image preview. The source controller is configured to command X-ray emissions of X-rays from an X-ray radiation source for image exposures.
Abstract:
A method and System for identifying repeat clip instances in video data. The method comprises partitioning the video data into ordered video units utilising content-based keyframe sampling, wherein each video unit comprises a sequence interval between two consecutive keyframes; creating a fingerprint for each video unit; grouping at least two consecutive video units into one time-indexed video segment; and identifying the repeat clip instances based on correlation of the video segments. The method can be used for both discovering unknown repeat video clips and identifying instances of known repeat video clips automatically. The method can be used to identify short repeat video clips from less than a second long to a few minutes, such as tv station logos, program logos, tv commercials which are widely used in news video and other daily broadcasting programs.