Abstract:
There is provided a method of image reconstruction based on energy-resolved image data from a photon-counting multi-bin detector or an intermediate storage. The method comprises processing (S1 ) the energy-resolved image data by performing at least two separate basis decompositions using different number of basis functions for modeling linear attenuation, wherein a first basis decomposition is performed using a first smaller set of basis functions to obtain at least one first basis image representation, and wherein a second basis decomposition is performed using a second larger set of basis functions to obtain at least one second basis image representation. The method also comprises reconstructing a first image based on said at least one first basis image representation obtained from the first basis decomposition, and combining the first image with information representative of said at least one second basis image representation.
Abstract:
There is provided a method for processing a radiographic image acquired with at least two energy levels. A first step (S1 ) involves providing energy-resolved image data representative of the radiographic image with at least two energy levels, e.g. from a detector or from an intermediate storage. A second step (S2) involves decomposing the provided image data into at least one basis image representation, based on a model where a combination of at least two basis functions is used to express a representation of at least one linear attenuation coefficient, and where at least one basis function models a physical material and at least one other basis function models the Non-Linear Partial Volume, NLPV, effect.
Abstract:
There is provided a method and corresponding system for image reconstruction based on energy-resolved x-ray data. The method comprises collecting (S1) at least one representation of energy-resolved x-ray data, and performing (S2) at least two basis material decompositions based on said at least one representation of energy-resolved x-ray data to generate at least two original basis image representation sets. The method further comprises obtaining or selecting (S3) at least two basis image representations from at least two of said original basis image representation sets, and processing (S4) said obtained or selected basis image representations by data processing based on machine learning to generate at least one representation of output image data.
Abstract:
There is provided an x-ray detector system (5) comprising a photon-counting x-ray detector (20) for detecting x-ray radiation from an x-ray source, and a coincidence detection system (60) configured to determine and/or obtain information about the radiation incident on the x-ray detector based on information about the time of photon interactions in said x-ray detector and information about the location of the x-ray source in relation to the x-ray detector. There is also provide an x-ray imaging system comprising such an x-ray detector system, as well as a corresponding coincidence detection system and a corresponding method.
Abstract:
Disclosed is a method for reconstructing image data from x-ray data measured with an imaging system comprising at least one photon-counting detector. The method comprises the step of obtaining a representation of data measured by said photon-counting detector. The method also comprises the step of generating first image data based on a projection based first functional using a first algorithm, said projection based first functional being dependent on said representation of data. The method also comprises the step of updating, based on a second functional that includes a model of at least one physical effect not included in said projection based first functional, said first image data to obtain second image data. The disclosure also provides an image processing device configured to reconstruct image data from x-ray data measured with an imaging system comprising at least one photon-counting detector as well as a corresponding computer program.
Abstract:
There is provided a photon-counting x-ray detector system (200) comprising a plurality of photon-counting channels (220), and at least one anti-coincidence circuit (230), each of which is connected to least two of the channels and configured to detect coincident events in the connected channels. The x-ray detector system (200) further comprises an anti-coincidence controller (240) configured to control the operation of said at least one anti-coincidence circuit based on photon count information by gradually adapting the operation of said at least one anti-coincidence circuit with increasing count rates, starting from a threshold count rate.
Abstract:
There is provided an x-ray detector comprising a number of adjacent detector modules arranged in a configuration having central parts and peripheral parts. The x-ray detector is configured to have higher dose efficiency in the central parts and lower dose efficiency in the peripheral parts.
Abstract:
There is provided a method and corresponding system for data acquisition, for Computed Tomography, CT, based on an x-ray imaging system (10) having a detector (12) with a plurality of pixels (13), wherein data sampling is performed with a temporal offset between measurements acquired by adjacent pixels of the detector.