Point-cloud registration using adaptive radial basis functions

Computer Methods in Biomechanics and Biomedical Engineering
Ju ZhangJustin Fernandez

Abstract

Non-rigid registration is a common part of bioengineering model-generation workflows. Compared to common mesh-based methods, radial basis functions can provide more flexible deformation fields due to their meshless nature. We introduce an implementation of RBF non-rigid registration with iterative knot-placement to adaptively reduce registration error. The implementation is validated on surface meshes of the femur, hemi-pelvis, mandible, and lumbar spine. Mean registration surface errors ranged from 0.37 to 0.99 mm, Hausdorff distance from 1.84 to 2.47 mm, and DICE coefficients from 0.97 to 0.99. The implementation is available for use in the free and open-source GIAS2 library.

References

Dec 20, 2003·Biomechanics and Modeling in Mechanobiology·J W FernandezP J Hunter
Apr 28, 2005·Medical Image Analysis·George K MatsopoulosVassilis Kouloulias
Jan 5, 2018·Journal of the Royal Society, Interface·C E LavecchiaD E T Shepherd

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Citations

Mar 4, 2019·Biomechanics and Modeling in Mechanobiology·Ravin VallabhDavid C Ackland
May 28, 2021·Journal of Biomechanical Engineering·Nynke B RooksThor F Besier
Nov 28, 2021·Biomechanics and Modeling in Mechanobiology·Yichen HuangDavid C Ackland

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Software Mentioned

GIAS2

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