Wisconsin Alumni Research Foundation

University of Utah Research Foundation

Andrew Lafayette Alexander

Dennis Lee Parker

John A Roberts

Brian E Chapman

Steven Ryan Kecskemeti

Charles Anthony Mistretta

Brittany Gail Travers

Douglas Carl Dean, Iii

Gregory Russel Kirk

Described here are a system and method for obtaining multiple different images when performing a single scan of a subject with a magnetic resonance imaging ('MRI') system. The scan includes the application of two or more magnetization preparation radio frequency ('RF') pulses, such as inversion recovery (&#x201c;IR&#x201d;) pulses. Data is acquired after the application of each magnetization preparation RF pulse, thus allowing the acquisition of multiple different images of the subject in a single scan. Using this approach, the same information that used to require multiple different scans of the subject can be acquired in one single scan, and in less time than would be required to perform the multiple scans.

MRI double inversion recovery method and system, with different magnetization recovery states providing the MRI image contrast(s)

A sensitive measure of brain condition simultaneously evaluates multiple measurements of water diffusion in brain tissue combined so as to correct for covariance between the different data types of the multipoint measurements and compares the multipoint measurements to a corresponding multipoint measure representing normal brain tissue to provide a distance indicating a likelihood of atypical brain conditions.

System for characterizing brain condition

Described here are a system and method for obtaining a time series of images that depict a subject using an inversion recovery ('IR') pulse sequence with a unique data acquisition scheme that allows for the retrospective identification of an image having an optimal tissue contrast. Data acquisition is performed using a radial acquisition scheme such as, preferably, a vastly undersampled isotropic projection reconstruction ('VIPR') scheme. Using VIPR and IR, combined with a unique projection ordering, a series of three-dimensional, high spatial resolution images with multiple different image contrasts can be obtained.

System and method for vastly undersampled isotropic projection reconstruction with inversion recovery

A method and system are disclosed for generating enhanced images of multiple dimensional data using a depth-buffer segmentation process. The method and system operate in a computer system modify the image by generating a reduced-dimensionality image data set from a multidimensional image by formulating a set of projection paths through image points selected from the multidimensional image, selecting an image point along each projection path, analyzing each image point to determine spatial similarities with at least one other point adjacent to the selected image point in a given dimension, and grouping the image point with the adjacent point or spatial similarities between the points is found thereby defining the data set.

Method and apparatus for enhancing an image using data optimization and segmentation

Highly undersampled diffusion weighted image data sets are acquired for a plurality of different directions using a projection reconstruction pulse sequence. The acquired projection views are interleaved and are combined to form a more highly sampled data set that is used to reconstruct a composite image. A DWI image is reconstructed from each undersampled data set for each direction using a highly constrained backprojected method that employs the composite image. Diffusion tensor values are calculated from the DWI images.

Growing community of inventors

Madison, WI, United States of America

Andrew Lafayette Alexander