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Internal Generative Mechanism Based Otsu Multilevel Thresholding Segmentation for Medical Brain Images Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Improved Compressed Sensing Based 3D Soft Tissue Surface Reconstruction

Authors : Sijiao Yu, Zhiyong Yuan, Qianqian Tong, Xiangyun Liao, Yaoyi Bai

Published in: Advances in Multimedia Information Processing -- PCM 2015

Publisher: Springer International Publishing

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Abstract

This paper presents a 3D soft tissue surface reconstruction method based on improved compressed sensing and radial basis function interpolation for a small amount of uniform sampling data points on 3D surface. We adopt radial basis function interpolation to obtain the same amount of data points as to be reconstructed and propose an improved compressed sensing method to reconstruct 3D surface: we design a deterministic measurement matrix to signal observation, and then adopt the discrete cosine transform to the 3D coordinate sparse representation and use weak choose regularized orthogonal matching pursuit algorithm to reconstruct. Experimental results show that the proposed algorithm improves the resolution of the surface as well as the accuracy. The average maximum error is less than 0.9012 mm, which is smooth enough to provide accurate surface data model for virtual reality based surgery system.

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Metadata
Title
Improved Compressed Sensing Based 3D Soft Tissue Surface Reconstruction
Authors
Sijiao Yu
Zhiyong Yuan
Qianqian Tong
Xiangyun Liao
Yaoyi Bai
Copyright Year
2015
Book
Advances in Multimedia Information Processing -- PCM 2015

Print ISBN: 978-3-319-24074-9

Electronic ISBN: 978-3-319-24075-6

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-24075-6_53