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Erschienen in:
Automatic Registration of Serial Cerebral Angiography: A Comparative Review Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Porous Structure Design in Tissue Engineering Using Anisotropic Radial Basis Functions

verfasst von : Ye Guo, Ke Liu, Zeyun Yu

Erschienen in: Advances in Visual Computing

Verlag: Springer International Publishing

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Abstract

The rapid development of additive manufacturing in last decades has greatly improved the quality of medical implants and widened its applications in tissue engineering. For the purpose of creating realistic porous scaffolds, a series of diverse methodologies are attempted to help simplify the manufacturing process and to improve the scaffold quality. Among these approaches, implicit surface methods based on geometric models have gained much attention for its flexibility to generate porous structures. In this paper, an innovative heterogeneous modeling method using anisotropic radial basis functions (ARBFs) is introduced for designing porous structures with controlled porosity and various internal architectures. By re-defining the distance method for the radial basis functions, the interpolated porous shape can be customized according to different requirements. Numerous experiments have been conducted to show the effectiveness of the proposed method.

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Vorheriges Kapitel Biomimetic Perception Learning for Human Sensorimotor Control
Nächstes Kapitel Accurate and Efficient Non-Parametric Background Detection for Video Surveillance
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Metadaten
Titel
Porous Structure Design in Tissue Engineering Using Anisotropic Radial Basis Functions
verfasst von
Ye Guo
Ke Liu
Zeyun Yu
Copyright-Jahr
2018
Buch
Advances in Visual Computing

Print ISBN: 978-3-030-03800-7

Electronic ISBN: 978-3-030-03801-4

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-030-03801-4_8