Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Methods and systems are disclosed for the hydrolysis of mixed biomass. The methods include forming a mixture of at least two modified biomass feedstocks to achieve various benefits, such as maximizing sugar yields and minimizing the formation of degradation products.

Abstract: In a first aspect this invention provides methods comprising administering an aqueous contrast agent to the vascular system of a subject, and performing a magnetic resonance scan to detect the MR signal enhancement effects of the aqueous contrast agent. In embodiments the magnetic resonance scan comprises applying at least one pulse sequence selected from a PD-weighted pulse sequence, a T1-weighted pulse sequence, a T2-weighted pulse sequence, and a D-weighted pulse sequence. In embodiments the magnetic resonance scan comprises applying a T1-weighted pulse sequence. A system for performing perfusion MRI comprising an aqueous contrast solution and an injection apparatus configured to provide a maximum injection rate of the aqueous contrast solution to a subject vascular system of at least about 5 ml/s. is also provided.

Abstract: 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.

Abstract: Methods and systems are disclosed for the hydrolysis of mixed biomass. The methods include forming a mixture of at least two modified biomass feedstocks to achieve various benefits, such as maximizing sugar yields and minimizing the formation of degradation products.

Abstract: Methods and systems are disclosed for the hydrolysis of mixed biomass. The methods include forming a mixture of at least two modified biomass feedstocks to achieve various benefits, such as maximizing sugar yields and minimizing the formation of degradation products.

Abstract: Methods and systems are disclosed for the hydrolysis of mixed biomass. The methods include forming a mixture of at least two modified biomass feedstocks to achieve various benefits, such as maximizing sugar yields and minimizing the formation of degradation products.

Abstract: The invention consists of three image-postprocessing phases for the purposes of generating high-quality quantitative MR images (proton density (PD), T1, and T2) 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.

Abstract: The invention consists of three image-postprocessing phases for the purposes of generating high-quality quantitative MR images (proton density (PD), T1, and T2) 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.

Abstract: The invention consists of three image-postprocessing phases for the purposes of generating high-quality quantitative MR images (proton density (PD), T1, and T2) 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.

Abstract: The invention consists of three image-postprocessing phases for the purposes of generating high-quality quantitative MR images (proton density (PD), T1, and T2) 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.

Abstract: The invention consists of three image-postprocessing phases for the purposes of generating high-quality quantitative MR images (proton density (PD), T1, and T2) 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.