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Proceedings Paper

Biological fiducial point based registration for multiple brain tissues reconstructed from different imaging modalities
Author(s): Huiqun Wu; Gangping Zhou; Xingyun Geng; Xiaofeng Zhang; Kui Jiang; Lemin Tang; Guomin Zhou; Jiancheng Dong
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Paper Abstract

With the development of computer aided navigation system, more and more tissues shall be reconstructed to provide more useful information for surgical pathway planning. In this study, we aimed to propose a registration framework for different reconstructed tissues from multi-modalities based on some fiducial points on lateral ventricles. A male patient with brain lesion was admitted and his brain scans were performed by different modalities. Then, the different brain tissues were segmented in different modality with relevant suitable algorithms. Marching cubes were calculated for three dimensional reconstructions, and then the rendered tissues were imported to a common coordinate system for registration. Four pairs of fiducial markers were selected to calculate the rotation and translation matrix using least-square measure method. The registration results were satisfied in a glioblastoma surgery planning as it provides the spatial relationship between tumors and surrounding fibers as well as vessels. Hence, our framework is of potential value for clinicians to plan surgery.

Paper Details

Date Published: 27 October 2013
PDF: 5 pages
Proc. SPIE 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing, 89200N (27 October 2013); doi: 10.1117/12.2032850
Show Author Affiliations
Huiqun Wu, Nantong Univ. (China)
Fudan Univ. (China)
Gangping Zhou, Nantong Univ. (China)
Xingyun Geng, Nantong Univ. (China)
Xiaofeng Zhang, Nantong Univ. (China)
Kui Jiang, Nantong Univ. (China)
Lemin Tang, Nantong Univ. (China)
Guomin Zhou, Fudan Univ. (China)
Jiancheng Dong, Nantong Univ. (China)


Published in SPIE Proceedings Vol. 8920:
MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing
Jianguo Liu, Editor(s)

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