43 results about "Multiparametric Magnetic Resonance Imaging" patented technology

The invention relates to a method of selecting a set of coil elements from a multitude of physical coil elements comprised in a coil array for performing a magnetic resonance imaging scan of a region of interest.

The invention relates to a method of selecting a set of coil elements from a multitude of physical coil elements comprised in a coil array for performing a magnetic resonance imaging scan of a region of interest.

A method and apparatus for automated prostate tumor detection and classification in multi-parametric magnetic resonance imaging (MRI) is disclosed. A multi-parametric MRI image set of a patient, including a plurality of different types of MRI images, is received. Simultaneous detection and classification of prostate tumors in the multi-parametric MRI image set of the patient are performed using a trained multi-channel image-to-image convolutional encoder-decoder that inputs multiple MRI images of the multi-parametric MRI image set of the patient and includes a plurality of output channels corresponding to a plurality of different tumor classes. For each output channel, the trained image-to image convolutional encoder-decoder generates a respective response map that provides detected locations of prostate tumors of the corresponding tumor class in the multi-parametric MRI image set of the patient.

The invention discloses a method and system for dynamic magnetic resonance imaging. A norm sparsity constraint is carried out on a spatial basis on the basis of a conventional PS (Partial Separability) method, so that image artifact and reconstruction noise are more effectively reduced, the image quality is greatly improved, and the reconstruction of a high temporal-spatial resolution dynamic magnetic resonance image is effectively realized. The method comprises the following steps: acquiring K-t spatial navigation data and dynamic image data, which are collected in a sampling mode based on a partial separability method; constructing a dynamic imaging reconstruction model containing a spatial basis function and a temporal basis function based on the partial separability method; acquiring the temporal basis function according to the navigation data; based on the dynamic imaging reconstruction model, estimating the spatial basis function by a least square method according to the temporal basis function and the dynamic image data; utilizing the temporal basis function and the dynamic image data to carry out interpolation recovery on the k spatial dynamic image data, and then carrying out Fourier transformation so as to acquire a reconstructed dynamic magnetic resonance image.

Successive magnetic resonance images are reconstructed from the respective sets of magnetic resonance signals of the dynamic series on the basis of the identified distribution of likelihood of changes and optionally the static reference image. The magnetic resonance signals are acquired by way of a receiver antennae system having a spatial sensitivity profile and in an undersampled fashion and the successive magnetic resonance imagesare reconstructed optionally also on the basis of the spatial sensitivity profile.

A method for pharmacokinetic analysis, including: receiving time-series medical image data of a patient introduced with a contrast agent; identifying a reference region in the medical image data; identifying a plurality of points of interest in the medical image data; measuring an intensity of voxels in the reference region; and for each point of interest, measure an intensity of voxels therein, use the measured reference region and point of interest intensities to obtain an expression relating the point of interest's voxel concentration to that of the reference region, wherein the expression is a five-parameter nonlinear model with no reference to an arterial input function; and obtain values for each of the five-parameters by solving the expression and use the obtained values to determine whether the point of interest is malignant.