Boston Medical Center Corporation

Boston University

Hernan Jara

Ryan McNaughton

Methods of characterizing the brain of a subject, comprising: (a) performing a multispectral multislice magnetic resonance scan on the brain of a subject, (b) storing image data indicative of a plurality of magnetic resonance weightings of each of a plurality of slices of the brain of the subject to provide directly acquired images, (c) processing the directly acquired images to generate a plurality of quantitative maps of the brain indicative of a plurality of qMRI parameters of the subject, (d) constructing a plurality of magnetic resonance images indicative of white matter structure from the quantitative maps, and (e) generating a spatial entropy map of the brain of the subject from the plurality of magnetic resonance images; and/or generating a myelin water map of the brain of the subject from the plurality of magnetic resonance images.

White matter fibrography by synthetic magnetic resonance imaging

Methods of making a white matter fibrogram representing the connectome of the brain of a subject, comprising: (a) performing a multispectral multislice magnetic resonance scan on the brain of a subject, (b) storing image data indicative of a plurality of magnetic resonance weightings of each of a plurality of slices of the brain of the subject to provide directly acquired images, (c) processing the directly acquired images to generate a plurality of quantitative maps of the brain indicative of a plurality of qMRI parameters of the subject, (d) constructing a plurality of magnetic resonance images indicative of white matter structure from the quantitative maps, and (e) rendering a white matter fibrogram of the brain of the subject from the plurality of magnetic resonance images.

Methods, and systems and apparatus for implementing the methods, are described for performing efficient multispectral magnetic resonance imaging, such that images of multiple contrast weightings for each slice are acquired in a single scan. Such differentially weighted MR images are thus suitable for generating a plurality of coregistered parameter maps for each slice. The methods may comprise applying a first excitation pulse to a first slice of a subject; detecting a first plurality of echo signals emitted by the first slice after the first excitation pulse; waiting a first period of time; applying a second excitation pulse to the first slice during partial recovery of a longitudinal magnetization of the first slice; and detecting a second plurality of echo signals emitted by the first slice after the second excitation pulse.

Multi-spectral MRI scan with magnetization recovery

The invention consists of three image-postprocessing phases for the purposes of generating high-quality quantitative MR images (proton density (PD), T, and T) as well as high-quality virtual MR images with continuously adjustable computer-synthesized contrast weightings, from source images acquired directly with an MRI scanner. Each of the image-postprocessing phases uses one or several new computer algorithms that improve image quality with respect to prior art, including linear-combination-of source-images (LCSI) algorithms for generating PD images and model-conforming algorithms for generating Q-MR images of tissue properties that influence NMR relaxation.

Synthetic images for a magnetic resonance imaging scanner using linear combinations of source images

The invention consists of three image-postprocessing phases for the purposes of generating high-quality quantitative MR images (proton density (PD), Tand T) as well as high-quality virtual MR images with continuously adjustable computer-synthesized contrast weightings, from source images acquired directly with an MRI scanner. Each of the image-postprocessing phases uses one or several new computer algorithms that improve image quality with respect to prior art, including linear-combination-of source-images (LCSI) algorithms for generating PD images and model-conforming algorithms for generating Q-MR images of tissue properties that influence NMR relaxation.

Synthetic images for a magnetic resonance imaging scanner using linear combination of source images to generate contrast and spatial navigation

The invention consists of three image-postprocessing phases for the purposes of generating high-quality quantitative MR images (proton density (PD), T , and T ) as well as high-quality virtual MR images with continuously adjustable computer-synthesized contrast weightings, from source images acquired directly with an MRI scanner. Each of the image-postprocessing phases uses one or several new computer algorithms that improve image quality with respect to prior art, including linear-combination-of source-images (LCSI) algorithms for generating PD images and model-conforming algorithms for generating Q-MR images of tissue properties that influence NMR relaxation.

Growing community of inventors

Belmont, MA, United States of America

Hernan Jara