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Related Experiment Video

Updated: May 8, 2025

3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

Published on: November 27, 2017

Image-to-mesh conversion method for multi-tissue medical image computing simulations.

Fotis Drakopoulos¹, Yixun Liu¹, Kevin Garner¹

¹Center for Real-Time Computing, Department of Computer Science, Old Dominion University, Norfolk, VA, United States of America.

Engineering with Computers

|December 24, 2024

Summary

This summary is machine-generated.

CBC3D converts medical images into high-quality 3D meshes for simulations and surgery. This method enhances mesh fidelity and reduces element count, outperforming existing image-to-mesh techniques.

Keywords:

Image-to-mesh conversion Medical imaging Mesh generation Segmentation

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Area of Science:

Medical imaging
Computational geometry
Scientific simulation

Background:

Converting 3D medical images to 3D meshes is crucial for simulations and image-guided surgery.
Existing methods face challenges in balancing mesh quality, fidelity, and computational efficiency.

Purpose of the Study:

To present CBC3D, a novel image-to-mesh conversion method.
To improve mesh quality and fidelity for predictive simulations and surgical applications.

Main Methods:

CBC3D discretizes segmented images using an adaptive Body-Centered Cubic (BCC) mesh.
Tetrahedral meshes are converted to mixed-element meshes (tetrahedra, pentahedra, hexahedra) to reduce element count.
Mesh surfaces are deformed using energy minimization and multi-material point-based registration for improved fidelity.

Main Results:

CBC3D achieves high mesh fidelity, closely matching physical image boundaries.
The method maintains a reasonably low element count.
Generated meshes exhibit good element quality, suitable for simulations.

Conclusions:

CBC3D offers a superior image-to-mesh conversion approach.
The method effectively balances mesh fidelity, element quality, and computational efficiency.
CBC3D shows promise for advancing medical simulations and image-guided surgical procedures.