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50 results about "Diffusion weighting" patented technology

Diffusion weighting derives from applying diffusion gradients to each side of a 180° pulse. The higher the b-factor the greater the diffusion weighting. The b-factor depends on the characteristics of the diffusion gradients (amplitude, duration, spacing).

Multi-b-value DWI (diffusion weighted image) noise reduction method based on mutual information

The invention discloses a multi-b-value DWI (diffusion weighted image) noise reduction method based on mutual information. The method comprises steps as follows: acquiring to-be-tested multi-b-value DWIs in multiple diffusion sensitive gradient directions by a magnetic resonance scanner; performing preprocessing such as head movement correction, eddy current correction and the like on the images; estimating different b-value image signal-to-noise ratios; performing noise reduction processing on the images through setting parameters of an optimal noise reduction algorithm so as to acquire DWIs with higher signal-to-noise ratios. The method fully considers features of different images, and three-dimensional structural features of the processed images are reserved as many as possible while noises are eliminated. During establishment of a high-order complex model, different b images have higher image quality, so that acquired high-order parameter images can have smaller errors and fewer singular values. The method can be better applied to preprocessing of a high-order model imaging technology and plays an active role in further research on white matter fiber structures.
Owner:TIANJIN UNIV

Method and magnetic resonance system to correct distortions in image data

In a method for correction of distortions in image data in a diffusion imaging, the image data are acquired with an imaging MRT measurement for a predetermined diffusion weighting and map a predetermined image segment. A diffusion model for the image segment is determined. Output image data are determined for the image segment such that the output image data are essentially free of distortions caused by diffusion weighting. Reference image data are estimated for the predetermined diffusion weighting for the image segment based on the output image data and the diffusion model. The acquired image data are compared with the reference image data and the acquired image data are corrected based on the comparison.
Owner:SIEMENS HEATHCARE GMBH

Pulse sequence method for MRI

The present invention describes a method for magnetic resonance (MR) and / or MR imaging, comprising acquisition of signals and MR images originating from a RF and gradient sequence causing isotropic diffusion weighting of signal attenuation, wherein the isotropic diffusion weighting is achieved by one time-dependent dephasing vector q(t) having an orientation, wherein the isotropic diffusion weighting is proportional to the trace of a diffusion tensor D, and wherein the orientation of the time-dependent dephasing vector q(t) is either varied discretely in more than three directions in total, or changed continuously, or changed in a combination of discretely and continuously during the gradient pulse sequence, 0≦t≦echo time, where t represents the time. The method may be performed during a single shot (single MR excitation).
Owner:RANDOM WALK IMAGING AB

Magnetic resonance method for quantification of molecular diffusion using double echo steady state sequences

ActiveUS20120242334A1Measurements using NMR imaging systemsElectric/magnetic detectionDouble echo steady stateDiffuse Lesion
Disclosed is a magnetic resonance method for the quantification of molecular diffusion. The method uses a diffusion-weighted (dw) double echo steady state sequence (DESS). In particular, the method allows direct quantification of molecular diffusion from two steady state scans with differing diffusion weighting such as one with diffusion-weighting and preferably one without diffusion weighting. Such a quantification of molecular diffusion allows for rapid and / or quantitative measurements of physiological and / or functional parameters of living tissue. Quantitative measurements are often a prerequisite for pre-clinical and clinical research as well as for clinical trials in drug research performed at different sites. Especially for the early diagnosis of subtle or diffuse pathological changes, quantitative MR promises to have a very significant impact.
Owner:UNIV HOSPITAL OF BASEL

Method and magnetic resonance apparatus for reducing distortion in diffusion imaging

The invention relates to a method for reducing distortions in diffusion imaging, comprising the steps of: carrying out at least one first measurement (R1) with a first diffusion weight each for a plurality of spatially separated layers; A plurality of spatially separated layers each carry out at least one second measurement (R2) with a second diffusion weight; determining a distortion correction function and determining correction parameters from said measurements (R1, R2) for weighting the diffusion Distortion correction is performed on the magnetic resonance image of the MRI image, wherein the image information and / or correction parameters of different layers are correlated with each other; and the distortion correction of the diffusion-weighted magnetic resonance image is performed based on the distortion correction function and the correction parameter. Furthermore, the invention proposes a magnetic resonance system (1) that can be used to carry out such a method.
Owner:SIEMENS HEALTHCARE GMBH

Digital halftoning method utilizing diffused weighting and class matrix optimization

InactiveUS20100033764A1Execution efficiency is highError diffusionDigitally marking record carriersDigital computer detailsMatrix optimizationAlgorithm
The present invention discloses a digital halftoning method. The method comprises steps of: (a1) dividing an original image into non-overlapping blocks; (a2) obtaining a Least-Mean-Square trained (LMS-trained) filter by comparing at least a training image and a halftone result corresponding to the training image (a3) optimizing a class matrix with the LMS-trained filter, which involves the diffused area and the diffused weightings; and (a4) processing the non-overlapping blocks by performing a dot diffusion procedure with the optimized class matrix and the diffused weightings to generate a halftone image corresponding to the original image. A detailed class matrix optimizing method as in the above-mentioned step (a3) is also disclosed.
Owner:NAT TAIWAN UNIV OF SCI & TECH
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