Generating anatomically accurate finite element meshes for electrical impedance tomography of the human head

Bin Yang; Canhua Xu; Meng Dai; Feng Fu; Xiuzhen Dong

doi:10.1117/12.2030736

19 July 2013 Generating anatomically accurate finite element meshes for electrical impedance tomography of the human head

Bin Yang, Canhua Xu, Meng Dai, Feng Fu, Xiuzhen Dong

Author Affiliations +

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88783L (2013) https://doi.org/10.1117/12.2030736
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

For electrical impedance tomography (EIT) of brain, the use of anatomically accurate and patient-specific finite element (FE) mesh has been shown to confer significant improvements in the quality of image reconstruction. But, given the lack of a rapid method to achieve the accurate anatomic geometry of the head, the generation of patient-specifc mesh is time-comsuming. In this paper, a modified fuzzy c-means algorithm based on non-local means method is performed to implement the segmentation of different layers in the head based on head CT images. This algorithm showed a better effect, especially an accurate recognition of the ventricles and a suitable performance dealing with noise. And the FE mesh established according to the segmentation results is validated in computational simulation. So a rapid practicable method can be provided for the generation of patient-specific FE mesh of the human head that is suitable for brain EIT.

Citation Download Citation

Bin Yang, Canhua Xu, Meng Dai, Feng Fu, and Xiuzhen Dong "Generating anatomically accurate finite element meshes for electrical impedance tomography of the human head", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88783L (19 July 2013); https://doi.org/10.1117/12.2030736

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