Method and systems for diffusion tensor imaging
OwnerLuis Serra Del Molino, Wei Zhang +1inventors
InventorsLuis Serra Del Molino, Wei Zhang, Ralf Kockro
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Abstract
One embodiment of the present invention includes a system comprising an input interface having at least 3 degrees of spatial freedom for input control; and a diffusion tensor imaging (DTI) module operable with the input interface having at least 3 degrees of spatial freedom. In one embodiment, the DTI module is operable to compute fiber bundles. The module is further operable to identify one or more 3D regions of interests (ROIs) in a reference volume, and compute or identify the fiber bundles passing through one or more 3D ROIs. In one embodiment, the system support displaying a 3D stereoscopic image of the fiber bundles passing through a 3D ROI.
Claims22
A system comprising:
- an input interface having at least 3 degrees of spatial freedom for input control;
- and
- a diffusion tensor imaging (DTI) module operable with the input interface having at least 3 degrees of spatial freedom.
A system comprising:
- an input interface providing 3D spatial interactive manipulations;
- and
- a diffusion tensor imaging (DTI) module operable with the input interface providing 3D spatial interactive manipulations.
A method comprising:
- Computing diffusion tensors for a reference volume;
- and
- interacting with the reference volume via an input interface to a identify regions of interest (ROI), the interface input interface having at least 3 degrees of spatial freedom for input control.
The method of clam 20, wherein the ROI includes a 3D ROI.
A machine-readable medium having stored thereon a set of instructions, which when executed perform a method comprising:
- computing diffusion tensors for a reference volume;
- and
- interacting with the reference volume via an input interface to a identify regions of interest (ROI), the interface input interface having at least 3 degrees of spatial freedom for input control.
Dependencies are inferred from the claim text.