US2020265632A1PendingUtilityA1
System and method for real-time rendering of complex data
Est. expiryNov 23, 2036(~10.3 yrs left)· nominal 20-yr term from priority
G06T 15/08G06T 2210/41G06T 15/06G06T 15/005G06T 7/0012G06V 10/764G06T 2207/10081G06T 2207/30008G06T 2207/30101
51
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Claims
Abstract
Methods for volume rendering of 3D object data are provided. The methods can include classifying 3D object data and determining a transfer function to use to render the 3D object data. based on the classification; incrementally determining voxels to render from the 3D object data; and/or determining a grid that represents the voxels and rendering based on the voxel grid.
Claims
exact text as granted — not AI-modified1 . A method for volume rendering three--dimensional (3D) imaging data via a computer processor, the method comprising:
for each voxel in the 3D imaging data, the computer processor determining a material classification index; the computer processor selecting, based on each material classification. index and an HU value, a corresponding transfer function from a stored plurality of transfer functions; and the computer processor rendering each voxel in the 3D imaging data based on its respective selected transfer function.
2 . The method of claim 1 wherein determining the material classification further comprises:
determining an initial material classification;
segmenting the 3D imaging data; and
determining the material classification based on the initial material classification and. the segmented 3D imaging data.
3 . The method of claim 2 wherein determining an initial material classification value is based on a HU value of the respective voxel.
4 . The method of claim 2 wherein determining an initial material classification value is based on a probability map.
5 . The method of claim 2 wherein the segmentingis based on a magnitude of a gradient of each. voxel.
6 . The method of claim 2 wherein segmenting the 3D imaging data further comprises eroding, opening or closing all or a portion of the 3D imaging data.
7 . The method of claim 2 wherein determining the material classification further comprises determining an intersection between the segmented 3D imaging data.
8 . A non-transient computer readable medium containing program instructions for causing a computer processor to perform the method of:
for each voxel in 3D imaging data, the computer processor determining a material classification index; for each combination of HU value and material classification index the computer processor selecting a corresponding transfer function from a stored plurality of transfer functions; and the computer processor rendering each voxel in the 3D imaging data based on its respective selected transfer function.
9 . A system for volume rendering three-dimensional (3D) imaging data via a computer processor, the system comprising:
a memory; and a processor to: for each voxel in the 3D imaging data, determine a material classification index; select, based on each material classification index and an HU value, a corresponding transfer function from a stored plurality of transfer functions; and render each voxel in the 3D imaging data based on its respective selected transfer function.
10 . The system of claim 9 wherein determining the material classification further comprises:
determining an initial material classification;
segmenting the 3D imaging data; and
determining the material classification based on the initial material classification and the segmented 3 D imaging data.
11 . The system of claim 10 wherein determining an initial material classification value is based on a HU value of the respective voxel.
12 . The system of claim 10 wherein determining an initial material classification value is based on a probability map.
13 . The system of claim 10 wherein the segmenting is based on a magnitude of a gradient of each voxel.
14 . The system of claim 10 wherein segmenting the 3D imaging data further comprises dilating, eroding, opening or closing all or a portion of the 3D imaging data.
15 . The system of claim 10 wherein determining the material classification further comprises determining an intersection between the segmented 3D imaging data.Join the waitlist — get patent alerts
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