Biomechanical model for computing deformations for whole-body image registration: A meshless approach

Mao Li; Karol Miller; Grand Joldes; R. Kikinis; Adam Wittek

doi:10.1002/cnm.2771

Biomechanical model for computing deformations for whole-body image registration: A meshless approach

Mao Li, Karol Miller, Grand Joldes, R. Kikinis, Adam Wittek

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

199 Downloads (Pure)

Original language	English
Article number	e02771
Pages (from-to)	1-18
Journal	International Journal for Numerical Methods in Biomedical Engineering
Volume	32
Issue number	12
Early online date	14 Mar 2016
DOIs	https://doi.org/10.1002/cnm.2771
Publication status	Published - Dec 2016

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10.1002/cnm.2771

Li et.al., 2016 Biomechanical model for computing deformations for whole-body image registration: A meshless approach
This is the peer reviewed version of the article, which has been published in final form at http://dx.doi.org/10.1002/cnm.2771. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Accepted author manuscript, 2.59 MB

Cite this

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Biomechanical model for computing deformations for whole-body image registration: A meshless approach

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Neuroimage as Biomechanical Model - New Real Time Computational Biomechanics of the Brain

Towards Predicting Brain Deformations for Image Guided Neurosurgery

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Biomechanical model for computing deformations for whole-body image registration: A meshless approach

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Projects

Neuroimage as Biomechanical Model - New Real Time Computational Biomechanics of the Brain

Towards Predicting Brain Deformations for Image Guided Neurosurgery

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