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Efficient Parallel Resampling for Deformable Volume Rendering in Medical Simulation: Block-Based Culling and Shared Memory Optimization

delete2026-09-16
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PRE
AI
C
Chailim Park
H
Heewon Kye *
DOI:10.1016/j.irbm.2026.100963delete
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Abstract

Abstract

En 中文
• A novel GPU-based framework for high-speed deformable volume resampling. • Margin-refined culling selectively processes significant visual regions. • Boundary artifacts are eliminated with minimal computational overhead. • Shared memory optimization maximizes warp occupancy for 3D cell access. • Achieved up to 6.58× speedup across diverse clinical CT datasets.
Keywords:
Deformable volume rendering
Parallel resampling
Shared memory optimization
Margin-refined block culling
Real-time medical simulation
Tetrahedral resampling

Journal

IRBM cover
IRBM
IF:
4.2
Papers:
967
Citations:
1.5K

Organization

No organization information available
Cited Papers

Cited Papers

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errGeoffrey Irving; Craig Schroeder; Ronald Fedkiw
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Tissue-specific transformation model for CT-images
err2017-09-26
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errBartelheimer,Kathrin; Teske,Hendrik; Bendl,Rolf; Giske,Kristina
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Efficient Surgical Cutting with Position-Based Dynamics
err2017-05-01
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PREAI
errIago Berndt; Rafael Torchelsen; Anderson Maciel
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Mass-spring systems on the GPU
err2005-11-01
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PREAI
errGeorgii, J; Westermann, R
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A parallel resampling method for interactive deformation of volumetric models
err2015-12-01
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PREAI
errAlejandro Rodríguez Aguilera; Alejandro León Salas; Domingo Martín Perandrés; Miguel A. Otaduy
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