Abstract:
A method for generating an image of an object using a scanning system includes performing a first portion of a scan in a first scanning mode to acquire a first dataset, receiving a halt command for a conveyor within the scanning system, decelerating the conveyor to a halt based on the halt command using a conveyor controller, and, when the object is present within an examination region after the conveyor has halted, performing a second portion of the scan in a second scanning mode to acquire a second dataset. The second scanning mode is different than the first scanning mode. The method also includes reconstructing the first dataset using a first reconstruction algorithm and reconstructing the second dataset using a second reconstruction algorithm. The second reconstruction algorithm is different than the first reconstruction algorithm. The image is generated using the first reconstructed dataset and the second reconstructed dataset.
Abstract:
A method for scanning a stream of objects includes continuously acquiring raw data of the stream of objects using an X-ray system including a detector, determining a leading edge and a trailing edge of a first object of the stream of objects from the raw data acquired by the detector using a control system, processing acquired raw data of the first object based on the determined leading edge and the determined trailing edge using the control system, and reconstructing an image of the first object using at least the processed raw data. A system configured to perform the method is also disclosed.
Abstract:
A method for generating a multi-spectral image of an object is provided. The method comprises acquiring measurement data at a plurality of X-ray energy levels and defining a plurality of image voxels in one or more regions comprising the object. The method then comprises obtaining prior information associated with a plurality of image voxels comprising the object. The prior information is defined by a joint probability density function (PDF) between a plurality of basis components. The method further comprises reconstructing the measurement data to generate a multi-spectral reconstructed image of the object based on the prior information.
Abstract:
A photon-counting detector includes a direct conversion material and a data acquisition system with a first comparator having a first signal level threshold indicative of a noise level of a spectrum of photons, the first comparator configured to output a count when the electrical signal level exceeds the first signal level threshold, and a second comparator having a second signal level threshold indicative of the maximum energy of the spectrum of photons, the second comparator configured to output a count when the electrical signal exceeds the second signal level threshold where a photon count is determined based on the counts from the first and second comparators.
Abstract:
A CT detector includes a first detector configured to convert radiographic energy to electrical signals representative of energy sensitive radiographic data and a second detector configured to convert radiographic energy to electrical signals representative of energy sensitive radiographic data and positioned to receive x-rays that pass through the first detector. A logic controller is electrically connected to the first detector and the second detector and is configured to receive a logic output signal from the second detector indicative of an amount of a saturation level of the first detector, compare the logic output signal to a threshold value, and output, based on the comparison, electrical signals from the first detector, the second detector, or a combination thereof to an image chain.
Abstract:
A method for iteratively reconstructing image data acquired by a computed tomography system is provided. The method comprises generating a calculated sinogram from an image estimate and generating an error sinogram based on the calculated sinogram and a measured sinogram. Then, one or more backprojections are performed, each based upon a reconstruction parameter. The reconstruction parameter impacts at least one of convergence speed and computational cost of each iterative step and corresponding reconstruction. A filtering step is performed prior to performing the one or more backprojections. Finally, the initial image is updated by adding corresponding results of the one or more backprojections to the image estimate to obtain the reconstructed image.
Abstract:
A method and system are provided for processing an acquired image signal in parallel to generate a reconstructed image signal. In one embodiment, a processing component is provided comprising one or more field-programmable gate arrays configured as co-processors. Other aspects of the present technique provide a pipelined processor configured to forward- and back-project image data using the same data path and arithmetic units.
Abstract:
A method and system are provided for iteratively processing an image estimate. In one embodiment, the image estimate is updated with an update image each iteration of processing. In this embodiment, the update image for each iteration is derived based at least in part on a scale image derived from a mask image. The mask image defines a subset of pixels participating in the reconstruction based on an imaged object. The scale image is updated based on a numerator term and a denominator term. The denominator term is based on the mask image. Computer routines for processing image data for processing image data in accordance with these techniques are also provided.
Abstract:
A method for generating a multi-spectral image of an object is provided. The method comprises acquiring measurement data at a plurality of X-ray energy levels and defining a plurality of image voxels in one or more regions comprising the object. The method then comprises obtaining prior information associated with a plurality of image voxels comprising the object. The prior information is defined by a joint probability density function (PDF) between a plurality of basis components. The method further comprises reconstructing the measurement data to generate a multi-spectral reconstructed image of the object based on the prior information.
Abstract:
Configurations for stationary imaging systems are provided. The configurations may include combinations of various types of distributed sources of X-ray radiation, which generally include addressable emitter elements which may be triggered for emission in desired sequences and combinations. The sources may be ring-like, partial ring-like, or line-like (typically along a Z-axis), and so forth. Combinations of these are envisaged. Corresponding detectors may also be full ring detectors or partial ring detectors associated with the sources to provide sufficient coverage of imaging volumes and to provide the desired mathematical completeness of the collected data.