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A method for brain 3D surface reconstruction from MR images

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Abstract

Due to the encephalic tissues are highly irregular, three-dimensional (3D) modeling of brain always leads to complicated computing. In this paper, we explore an efficient method for brain surface reconstruction from magnetic resonance (MR) images of head, which is helpful to surgery planning and tumor localization. A heuristic algorithm is proposed for surface triangle mesh generation with preserved features, and the diagonal length is regarded as the heuristic information to optimize the shape of triangle. The experimental results show that our approach not only reduces the computational complexity, but also completes 3D visualization with good quality.

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Authors and Affiliations

  1. Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology, Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, 300384, China

    De-xin Zhao  (赵德新)

Authors
  1. De-xin Zhao  (赵德新)
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Corresponding author

Correspondence to De-xin Zhao  (赵德新).

Additional information

This work has been supported by the National Natural Science Foundation of China (No.61202169).

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Zhao, Dx. A method for brain 3D surface reconstruction from MR images. Optoelectron. Lett. 10, 383–386 (2014). https://doi.org/10.1007/s11801-014-4076-9

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  • DOI: https://doi.org/10.1007/s11801-014-4076-9

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