73 results about "Multi contrast" patented technology

A method of identifying and localizing objects belonging to one of three or more classes, includes deriving vectors, each being mapped to one of the objects, where each of the vectors is an element of an N-dimensional space. The method includes training an ensemble of binary classifiers with a CISS technique, using an ECOC technique. For each object corresponding to a class, the method includes calculating a probability that the associated vector belongs to a particular class, using an ECOC probability estimation technique. In another embodiment, increased detection accuracy is achieved by using images obtained with different contrast methods. A nonlinear dimensional reduction technique, Kernel PCA, was employed to extract features from the multi-contrast composite image. The Kernel PCA preprocessing shows improvements over traditional linear PCA preprocessing possibly due to its ability to capture high-order, nonlinear correlations in the high dimensional image space.

The present invention relates to a nuclear spins tomography photograph (synonym: magnetic resonance tomography photograph, MRT), for examining patient in medical, especially relates to a magnetic resonance image forming method than can realize interactive contrast optimization and a nuclear spins tomography photograph device for actualizing the method. The optimization MRT image method has following steps: defining a multi-contrast sequence for exciting nuclear spins in a slice of a subject to be measured; defining parameters characteristic of the sequence; measuring a number of contrast versions of the slice in the form of raw data with the previously defined sequence; processing the raw data of the slice, and thereby generating a number of images of the slice that differ in contrast from one another; and generating an image with improved contrast on the basis of an interactive real-time contrast variation of the images acquired by the multi-contrast sequence, via a user interface.

A denoising method and apparatus for multi-contrast MRI's are disclosed. An aspect of the invention provides a denoising method for an MRI that includes: acquiring multiple MRI's having different contrast levels for the same site; determining pixels corresponding to the same tissue by using the MRI's; and calculating a new luminance value for the pixels by using luminance values of the pixels that are determined to be belonging to the same tissue.

A magnetic resonance (MR) method and apparatus use simultaneous multislice imaging, with different excitations being effective for different slices in respective iterations of a single scanning sequence, in order to acquire raw MR data from different multiple slices, with respectively different contrasts, in the single scanning sequence. Single band excitation of a first slice among the multiple slices takes place in a first iteration of the single scanning sequence, with multi-band excitation then occurring for all of the multiple slices. Raw data are then acquired from the first slice, and at least one other slice among the multiple slices, that respectively exhibit different contrasts due to only the first slice being affected by the single band excitation. In a second iteration of the single scanning sequence, another slice is excited with single band excitation, and the first slice is among the multiple slices excited with multi-band excitation. Raw data are then acquired from the first slice and at least one other slice among the multiple slices that have the respective contrasts swapped in comparison to the first iteration.