Opposed orthogonal fusion system and method for generating color segmented MRI voxel matrices
First Claim
1. A method for rendering a color-coded multi-dimensional magnetic resonance image of a region of interest, comprising:
- acquiring a plurality of digitally-stored gray-tone magnetic resonance images on a plurality of predetermined orthogonally-opposed planes at a plurality of predetermined pulse sequences, wherein each of the plurality of gray-tone magnetic resonance images comprises a plurality of pixels each representing a quantified biophysical parameter of interest;
applying a plurality of monochrome color masks to the plurality of gray-tone magnetic resonance images to form a plurality of color-masked magnetic resonance images; and
spatially aligning and combining the plurality of color-masked magnetic resonance images to form a color-coded multi-dimensional magnetic resonance image, wherein the color-coded multi-dimensional magnetic resonance image comprises a plurality of voxels each representing a quantified combination of biophysical parameters of interest.
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Abstract
Systems and methods for producing multi-dimensional tissue characterization images are described. By combining colorized MRI images composited from multiple gray tone MRI images, riffle stacks can be formed and combined to render multidimensional reconstruction of anatomical, physiological and pathological features. Biophysical parameters are therefore automatically segmented, characterized, tagged, mapped and otherwise labeled. In another embodiment, gray tone images are collected by acquiring orthogonally opposed pulse sequences, the images of which are color masked and uniquely rendered in three dimensions to obtain voxels in which the color is determined by the summative color masks applied to original gray tone pixels. This method can be embodied as specific applications designed for the brain, abdomen, breast, pelvis, musculoskeletal and other organs and biophysical systems to facilitate diagnosis, surgical planning and virtual exploration.
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Citations
10 Claims
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1. A method for rendering a color-coded multi-dimensional magnetic resonance image of a region of interest, comprising:
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acquiring a plurality of digitally-stored gray-tone magnetic resonance images on a plurality of predetermined orthogonally-opposed planes at a plurality of predetermined pulse sequences, wherein each of the plurality of gray-tone magnetic resonance images comprises a plurality of pixels each representing a quantified biophysical parameter of interest; applying a plurality of monochrome color masks to the plurality of gray-tone magnetic resonance images to form a plurality of color-masked magnetic resonance images; and spatially aligning and combining the plurality of color-masked magnetic resonance images to form a color-coded multi-dimensional magnetic resonance image, wherein the color-coded multi-dimensional magnetic resonance image comprises a plurality of voxels each representing a quantified combination of biophysical parameters of interest. - View Dependent Claims (2, 3, 4, 5)
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6. A system for rendering a color-coded multi-dimensional magnetic resonance image of a region of interest, comprising:
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acquisition means for acquiring a plurality of digitally-stored gray-tone magnetic resonance images on a plurality of predetermined orthogonally-opposed planes at a plurality of predetermined pulse sequences, wherein each of the plurality of gray-tone magnetic resonance images comprises a plurality of pixels each representing a quantified biophysical parameter of interest; first processing means for applying a plurality of monochrome color masks to the plurality of gray-tone magnetic resonance images to form a plurality of color-masked magnetic resonance images; and second processing means for spatially aligning and combining the plurality of color-masked magnetic resonance images to form a color-coded multi-dimensional magnetic resonance image, wherein the color-coded multi-dimensional magnetic resonance image comprises a plurality of voxels each representing a quantified combination of biophysical parameters of interest. - View Dependent Claims (7, 8, 9, 10)
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Specification