摘要:
In a method and magnetic resonance (MR) apparatus for reconstruction of image data of an examination object from undersampled raw MR data and reference data, undersampled raw data are used that were recorded from an examination region of the examination object by an MR control sequence, to which a reconstruction algorithm for the reconstruction of image data is assigned. A disturbance variable in the examination region is determined. A modulation function is established, which describes the influence of the disturbance variable on the MR control sequence. Modulated reference data are created on the basis of the modulation function and the reference data such that the modulated reference data are subjected to the influence of the disturbance variable on the raw data recorded by the MR control sequence. A combination algorithm is executed in order to reconstruct image data from the undersampled raw data with the use of the modulated reference data.
摘要:
In a magnetic resonance method and apparatus for determination of a measurement variable that is relevant to a function of an organ of a patient, a first longitudinal relaxation rate R11 is determined before a contrast medium is administered to the patient. A second longitudinal relaxation rate R12 is determined after a contrast medium is administered to the patient. A property of the contrast medium in the organ is determined based on R11 and R12. The measurement variable is determined based on the property of the contrast medium in the organ.
摘要:
In a computer and a magnetic resonance method and apparatus for automatic characterization (classification) of liver tissue in a region of interest of a liver, at least one value tuple of the region of interest of the liver is acquired, the value tuple including at least one T1 value determined from magnetic resonance images of the region of interest, or a reciprocal value thereof, and a T2 or T2* value or a reciprocal value thereof. The value tuple is transferred into a multidimensional parameter space and the characterization of the liver tissue is then performed on the basis of the position of the value tuple in the parameter space.
摘要:
A method for denoising Magnetic Resonance Imaging (MRI) data includes receiving a noisy image acquired using an MRI imaging device and determining a noise model comprising a non-diagonal covariance matrix based on the noisy image and calibration characteristics of the MRI imaging device. The noisy image is designated as the current best image. Then, an iterative denoising process is performed to remove noise from the noisy image. Each iteration of the iterative denoising process comprises (i) applying a bank of heterogeneous denoisers to the current best image to generate a plurality of filter outputs, (ii) creating an image matrix comprising the noisy image, the current best image, and the plurality of filter outputs, (iii) finding a linear combination of elements of the image matrix which minimizes a Stein Unbiased Risk Estimation (SURE) value for the linear combination and the noise model, (iv) designating the linear combination as the current best image, and (v) updating each respective denoiser in the bank of heterogeneous denoisers based on the SURE value. Following the iterative denoising process, the current best image is designated as a final denoised image.
摘要:
In a method and apparatus for determining time-dependent dephasing factors of at least one spectral component of at least two spectral components in a region of interest in an object under examination, measured data of the region of interest and acquired over time by a test measurement in a magnetic resonance scanner. The contribution of at least one of the at least two spectral components in the recorded measured data is determined. Dephasing factors of the at least one spectral component are determined on the basis of the contribution determined therefor in the recorded measured data over time. Dephasing factors determined in this way can be determined individually with relatively little effort and used in Dixon techniques.