Abstract:
The present invention discloses a method to calibrate a photon counting detector (3). An absorption filter (7) is moved transversely through a photon beam (8) emitted towards the detector (3) to average out the effect of inhomogeneties of the absorption filter (7). The invention also relates to an absorption filter assembly and an imaging device (1) comprising such an absorption filter assembly.
Abstract:
A method includes determining calibration factors for calibrating photon-counting detectors of a spectral imaging system by combining a heuristic calibration of the photon-counting detectors and an analytical calibration of the photon-counting detectors and generating a set of photon-counting calibration factors based on the combining of the a heuristic calibration and the analytical calibration. The photon-counting calibration factors, when applied to measured energy-resolved data from the photon-counting detectors of a spectral CT scan of a subject or object, mitigate spectral distortion caused by a radiation intensity profile shaper that filters a radiation beam of the spectral CT scan.
Abstract:
An imaging system includes a radiation source (108) configured to rotate about an examination region (106)and emit radiation that traverses the examination region. The imaging system further includes an array of radiation sensitive pixels (112) configured to detect radiation traversing the examination region and output a signal indicative of the detected radiation. The array of radiation sensitive pixels is disposed opposite the radiation source, across the examination region. The imaging system further includes a rigid flux filter device (130) disposed in the examination region between the radiation source and the radiation sensitive detector array of photon counting pixels. The rigid flux filter device is configured to filter the radiation traversing the examination region and incident thereon. The radiation leaving the rigid flux filter device has a predetermined flux.
Abstract:
An imaging method includes obtaining projection data for a helical scan of a subject. The method further includes reconstructing, for a particular time and image slice location of interest, a first temporal motion state image at an earlier time on the detector array and offset from the central row in a first direction with projection data from a first to subset of detector rows, and reconstructing, for the particular time and image slice location, a second temporal motion state image at a later time on the detector array and offset from the central row in a second direction with projection data from a second different subset of detector rows. The method further includes estimating a distortion vector field between the first and second temporal motion state images, and constructing motion compensated volu-metric image data with a motion compensated reconstruction algorithm using the distortion vector field to compensate for arbitrary motion.
Abstract:
A method for operating a cardiac CT imaging system (200) in coronary CT with prospective electrocardiography-triggering of the imaging system (200) is proposed. The method comprises the steps of determining a plurality of R-peak times (ti) from a dataset of electrocardiography data, determining a variability of a heart rate by statistically analyzing the determined R-peak times and automatically adjusting an acquisition time period (ΔTac) of the CT imaging system (200) for acquiring projection data based on the determined variability of the heart rate.
Abstract:
A medical imaging system (200) includes a masking unit (234), an image registration unit (238), a motion estimator (240) and a motion compensating reconstructor (244). The masking unit constructs a mask for each reconstructed volumetric phase image of a plurality of reconstructed volumetric phase images that masks portions of a corresponding image external to an anatomical model fitted to a segmented at least one anatomical structure, 5 wherein the plurality of reconstructed volumetric phase images include a target phase and a plurality of temporal neighboring phases reconstructed from projection data. The image registration unit registers the masked reconstructed volumetric phase images. The motion estimator estimates motion between the target phase and the plurality of temporal neighboring phases according to the model based on the registered masked reconstructed 10 volumetric phase images. The motion compensating reconstructor reconstructs a motion compensated medical image from the projection data using the estimated motion of the registered masked reconstructed volumetric phase images.
Abstract:
Motion compensated reconstruction is currently not well-suited for reconstructing the valve, the valve leaflets and the neighboring vascular anatomy of the heart. Blurring of the valve and the valve leaflets occurs. This may lead to wrong diagnosis. A new approach for motion compensated reconstruction of the valve and the related anatomy is presented in which an edge-enhancing step is performed to suppress blurring.
Abstract:
The invention relates to a photon counting x-ray radiation detection system. The system (31) comprises an x-ray radiation device (2) for providing polychromatic x-ray radiation (4) for traversing an examination zone (5) during a detection period of a scan. A photon counting detection device (6) comprising detection elements (3) detects the x-ray radiation after having traversed the examination zone and measures for each detection element photon counts in one or more energy bins during the detection period. A correction unit (12) estimates for each detection element an amount of a build up charge present in the detection element and corrects the measured photon counts for the detection element based on the estimated amount of the build up charge. This allows the corruption of the photon count rates caused by the build up charges to be compensated and to improve the determination of the photon counts.
Abstract:
The invention relates to an image generation apparatus (1) for generating an image of an object. A reconstruction unit (10) reconstructs the image based on provided measured projection values such that costs defined by a cost function are reduced, wherein the cost function depends on differences between calculated projection values, which have been determined by simulating a forward projection through the image, and the provided measured projection values, and wherein a degree of dependence of the cost function on a respective difference depends on the respective difference. This can allow for a consideration of a degree of disturbance of the measured projection values by motion and/or by an incomplete illumination of the object during the reconstruction process, which can lead to a reconstruction of an image having an improved image quality.