摘要:
A mechanism for processing projection data generated by a computed tomography scanner. The projection data is processed by a machine-learning algorithm trained to perform an upsampling or super-resolution technique on input data in order to generate higher resolution projection data.
摘要:
An X-ray imaging apparatus (XI) including an X-ray source (XS) with a cathode (C) and an anode (A). The source (XS) is to generate an X-radiation beam (XB). An X-ray detector (XD) detects the X-radiation after interaction with an imaged object (OB). The beam (XB) has different spectra on its anode side (AS) and cathode side (CS) caused by the heel effect when the X-ray source (XS) is in operation. -ray imaging apparatus (XI) has a heel-effect-harnessing (HH) mechanism configured to cause a pixel (PX) of the detector (XD) to be alternately exposed to both, the anode side (AS) and the cathode side (CS) of the beam (XB).
摘要:
The invention relates to a computer-implemented method (1) for processing spectral computed tomography, spectral CT, data. According to the method (1), spectral CT projection data (2) is received. Then, reconstruction (3) and material decomposition (4) is performed on the spectral CT projection data (2) to obtain three-dimensional material data (5). Further, a stack of processed images (7) is generated based on the three-dimensional material data (5). In particular, the stack of processed images (7) may resemble a stack of magnetic resonance imaging, MRI, images. The invention further relates to a corresponding computer program and to a corresponding spectral CT system.
摘要:
A computer-implemented method of providing normalised medical images (110' 1 .. n ) representing a region of interest (120) in a subject, is provided. The method includes: warping medical images (110 1 .. n ) in a temporal series to an atlas image (130), to provide normalised medical images (110' 1 .. n ) having a warped region of interest (120' 1 .. n ) for comparison with the region of interest (120) in the atlas image (130). The method also includes outputting the normalised medical images (110' 1 .. n ), and/or outputting a magnitude of a change in the warped region of interest (120' 1 .. n ) between the normalised medical images (110' 1 .. n ).
摘要:
A mechanism for generating denoised basis images for a computed tomography scanner. An input dataset, comprising first and second basis image data, is processed using a machine-learning algorithm process to produce the denoised basis images. The first and second basis image data each comprise at least one basis image, wherein the type of image differs between the first and second basis image data.
摘要:
A computer-implemented method of measuring a blood flow parameter in a vasculature, is provided. The method includes: analyzing spectral CT projection data to isolate from the spectral CT projection data, contrast agent projection data representing the flow of the injected contrast agent; sampling the contrast agent projection data at one or more regions of interest in the vasculature to provide temporal blood flow data at the one or more regions of interest; and calculating, from the temporal blood flow data, a value of one or more blood flow parameters at the one or more regions of interest.
摘要:
A mechanism for generating denoised basis projection data. Low-energy projection data and high-energy projection data is processed using a neural network that is trained to perform the dual task of decomposition and denoising. The neural network thereby directly outputs basis projection data, taking the place of existing decomposition and denoising techniques.
摘要:
A computer-implemented method of compensating for differences in medical images, is provided. The method includes receiving (S110) image data comprising a temporal series of medical images (110 1..i ). The temporal series includes one or more medical images generated by a first type of imaging modality (120), and one or more medical images generated by a second type of imaging modality (130, 130'). The first type of imaging modality is different to the second type of imaging modality. In one aspect, the method includes generating (S120a, S120b), from the temporal series of medical images (110 1..i ), a normalised temporal series of medical images (140 1..i ), and outputting (S130a, S130a', S130b) the normalised temporal series of medical images (140 1..i ) and/or one or more measurement values derived therefrom. In another aspect, the method includes generating (S120a, S120b), from the temporal series of medical images (110 1..i ), one or more normalised measurement values (150 1..j ) representing a region of interest in the temporal series of medical images (110 1..i ), and outputting the normalised measurement value(s) (150 1..j ).
摘要:
An imaging system (IS), comprising an image acquisition unit (AQ) for acquisition of image data (I1) of an object (OB). The image acquisition is based on an imaging signal imitable by the unit (AQ) to interact with the object. The image acquisition unit (AQ) is adjustable to operate at different acquisition parameters that determine a property of the imaging signal. A predictor component (PC) predicts, based at least on the acquired image data (I1), one or more properties of the object. An acquisition parameter adjuster (PA) adjusts, based on the predicted object properties, the acquisition parameter at which the image acquisition unit (AQ) is to acquire follow-up image data (12).