Abstract:
A method relates to the use of deep learning techniques, which may be implemented using trained neural networks (50), to estimate various types of missing projection or other unreconstructed data. Similarly, the method may also be employed to replace or correct corrupted or erroneous projection data as opposed to estimating missing projection data.
Abstract:
The present approaches relates to the use of silicon-based energy-discriminating, photon-counting detectors, such as for use in X-ray based imaging including computed tomography. The described approaches address the resolution and classification of X-ray photons affected by Compton scatter, which may be detected as having energy levels below their proper level due to collision or deflection events.
Abstract:
An imaging method includes executing a low-dose preparatory scan to an object by applying tube voltages and tube currents in an x-ray source, and generating a first image of the object corresponding to the low-dose preparatory scan. The method further includes generating image quality estimates and dose estimates view by view at least based on the first image. The method includes optimizing the tube voltages and the tube currents to generate optimal profiles for the tube voltage and the tube current. At least one of the optimal profiles for the tube voltage and the tube current is generated based on the image quality estimates and the dose estimates. The method includes executing an acquisition scan by applying the tube voltages and the tube currents based on the optimal profiles and generating a second image of the object corresponding to the acquisition scan. An imaging system is also provided.
Abstract:
The present approach relates to the use of reference pixels provided between the primary pixels of a detector panel. Coincidence circuitry or logic may be employed so that the measured signal arising from the same X-ray event may be properly, that is the signal measured at both a reference and primary pixel may be combined so as to provide an accurate estimate of the measured signal, at an appropriate location on the detector panel.
Abstract:
A detector panel is described having readout circuitry integrated with the photodetectors, such as in the light imager panel. The detector is useful in high spatial resolution and low-dose or low-signal imaging contexts and may be used in adaptive 2D binning configurations. Adaptive binning of detector elements may be accomplished using control logic and X-ray intensity detector circuitry capable of assessing an incident X-ray intensity and controlling binning of an associated group of detector elements.
Abstract:
Some embodiments are associated with an input signal comprising a first and a second photon event incident on a photon-counting semiconductor detector. A relatively slow charge collection shaping amplifier may receive the input signal and output an indication of a total amount of energy associated with the superposition of the first and second events. A relatively fast charge collection shaping amplifier may receive the input signal and output an indication that is used to allocate a first portion of the total amount of energy to the first event and a second portion of the total amount of energy to the second event.
Abstract:
A method includes acquiring projection data of an object from a plurality of detector elements, reconstructing the acquired projection data into a first reconstructed image, and performing material characterization of an image volume of the first reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. Performing material characterization includes utilizing a generalized modeling function to estimate a fraction of at least one basis material within each voxel of the image volume. The method also includes generating a re-mapped image volume for the at least one basis material of the two basis materials, performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection, and generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials.
Abstract:
Methods and systems are provided for improving image quality with three-dimensional (3D) scout scans for computed tomography (CT) imaging. In one embodiment, a method comprises reconstructing an image from projection data acquired during a diagnostic scan of a patient with corrections based on scout projection data acquired during a 3D scout scan of the patient. In this way, the image quality of a diagnostic image can be improved by using 3D scout data to correct projection data or image data.
Abstract:
A computed tomography (CT) imaging system and method, wherein the system includes an x-ray source that is operable to emit a beam of x-rays from a focal spot and move a spot position of the focal spot. The system also includes a detector assembly that is configured to detect the x-rays attenuated by the object. At least one processing unit is configured to execute programmed instructions stored in memory. The at least one processing unit is configured to direct the x-ray source to emit different beams of the x-rays at different energy levels and to receive data from the detector assembly that are representative of detection of the x-rays emitted at the different energy levels. The at least one processing unit is also configured to direct the x-ray source to move the focal spot such that the focal spot is at different spot positions while the different beams are emitted.
Abstract:
The present approaches relates to the use of silicon-based energy-discriminating, photon-counting detectors, such as for use in X-ray based imaging including computed tomography. The described approaches address the resolution and classification of X-ray photons affected by Compton scatter, which may be detected as having energy levels below their proper level due to collision or deflection events.