Point-cloud registration using adaptive radial basis functions. Issue 7 (19th May 2018)

• Record Type: Journal Article
• Authors: Zhang, Ju; Ackland, David; Fernandez, Justin
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 21:Issue 7(2018)
• Page Start: 498
• Page End: 502
• Publication Date: 2018-05-19
• Subjects: Non-rigid registration -- registration -- radial basis function -- morphing -- model generation; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2018.1484914
• Languages: English
• ISSNs: 1025-5842

Abstract

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.