A robust workflow for b-rep generation from image masks
A novel approach to generating watertight, manifold boundary representations from noisy binary image masks of MRI or CT scans is presented. The method samples an input segmented image and locally approximates the material boundary. Geometric error metrics between the voxelated boundary and an approx...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-07-01
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| Series: | Graphical Models |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S152407032300005X |
| _version_ | 1797785519841607680 |
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| author | Omar M. Hafez Mark M. Rashid |
| author_facet | Omar M. Hafez Mark M. Rashid |
| author_sort | Omar M. Hafez |
| collection | DOAJ |
| description | A novel approach to generating watertight, manifold boundary representations from noisy binary image masks of MRI or CT scans is presented. The method samples an input segmented image and locally approximates the material boundary. Geometric error metrics between the voxelated boundary and an approximating template surface are minimized, and boundary point/normals are correspondingly generated. Voronoi partitioning is employed to perform surface reconstruction on the resulting oriented point cloud. The method performs competitively against other approaches, both in comparisons of shape and volume error metrics to a canonical image mask, and in qualitative comparisons using noisy image masks from real scans. The framework readily admits enhancements for capturing sharp edges and corners. The approach robustly produces high-quality b-reps that may be inserted into an image-based meshing pipeline for purposes of physics-based simulation. |
| first_indexed | 2024-03-13T00:55:15Z |
| format | Article |
| id | doaj.art-7a89c99585934d2ebdbd392b988bd9b8 |
| institution | Directory Open Access Journal |
| issn | 1524-0703 |
| language | English |
| last_indexed | 2024-03-13T00:55:15Z |
| publishDate | 2023-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Graphical Models |
| spelling | doaj.art-7a89c99585934d2ebdbd392b988bd9b82023-07-07T04:26:44ZengElsevierGraphical Models1524-07032023-07-01128101174A robust workflow for b-rep generation from image masksOmar M. Hafez0Mark M. Rashid1Corresponding author.; Department of Civil & Environmental Engineering, University of California, Davis, United States of AmericaDepartment of Civil & Environmental Engineering, University of California, Davis, United States of AmericaA novel approach to generating watertight, manifold boundary representations from noisy binary image masks of MRI or CT scans is presented. The method samples an input segmented image and locally approximates the material boundary. Geometric error metrics between the voxelated boundary and an approximating template surface are minimized, and boundary point/normals are correspondingly generated. Voronoi partitioning is employed to perform surface reconstruction on the resulting oriented point cloud. The method performs competitively against other approaches, both in comparisons of shape and volume error metrics to a canonical image mask, and in qualitative comparisons using noisy image masks from real scans. The framework readily admits enhancements for capturing sharp edges and corners. The approach robustly produces high-quality b-reps that may be inserted into an image-based meshing pipeline for purposes of physics-based simulation.http://www.sciencedirect.com/science/article/pii/S152407032300005XB-rep generationSurface generationSurface reconstructionVoronoi partitioningImage-based meshingImage-based modeling |
| spellingShingle | Omar M. Hafez Mark M. Rashid A robust workflow for b-rep generation from image masks Graphical Models B-rep generation Surface generation Surface reconstruction Voronoi partitioning Image-based meshing Image-based modeling |
| title | A robust workflow for b-rep generation from image masks |
| title_full | A robust workflow for b-rep generation from image masks |
| title_fullStr | A robust workflow for b-rep generation from image masks |
| title_full_unstemmed | A robust workflow for b-rep generation from image masks |
| title_short | A robust workflow for b-rep generation from image masks |
| title_sort | robust workflow for b rep generation from image masks |
| topic | B-rep generation Surface generation Surface reconstruction Voronoi partitioning Image-based meshing Image-based modeling |
| url | http://www.sciencedirect.com/science/article/pii/S152407032300005X |
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