
Proceedings Paper
Implementation of nonlinear registration of brain atlas based on piecewise grid systemFormat | Member Price | Non-Member Price |
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Paper Abstract
In this paper, a multi-step registration method of brain atlas and clinical Magnetic Resonance Imaging (MRI) data based
on Thin-Plate Splines (TPS) and Piecewise Grid System (PGS) is presented. The method can help doctors to determine
the corresponding anatomical structure between patient image and the brain atlas by piecewise nonlinear registration.
Since doctors mostly pay attention to particular Region of Interest (ROI), and a global nonlinear registration is quite
time-consuming which is not suitable for real-time clinical application, we propose a novel method to conduct linear
registration in global area before nonlinear registration is performed in selected ROI. The homogenous feature points are
defined to calculate the transform matrix between patient data and the brain atlas to conclude the mapping function.
Finally, we integrate the proposed approach into an application of neurosurgical planning and guidance system which
lends great efficiency in both neuro-anatomical education and guiding of neurosurgical operations. The experimental
results reveal that the proposed approach can keep an average registration error of 0.25mm in near real-time manner.
Paper Details
Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 678905 (14 November 2007); doi: 10.1117/12.749956
Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Jianguo Liu; Kunio Doi; Patrick S. P. Wang; Qiang Li, Editor(s)
PDF: 7 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 678905 (14 November 2007); doi: 10.1117/12.749956
Show Author Affiliations
Jianrong Xu, Shanghai Jiao Tong Univ. (China)
Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Jianguo Liu; Kunio Doi; Patrick S. P. Wang; Qiang Li, Editor(s)
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