A hybrid strategy to integrate surface-based and mutual-information-based methods for co-registering brain SPECT and MR images

Yuan Lin Liao, Yung Nien Sun, Wan Yuo Guo, Yuan Hwa Chou, Jen Chuen Hsieh, Yu Te Wu

研究成果: Article同行評審

5 引文 斯高帕斯(Scopus)

摘要

Co-registration of brain SPECT and MR images has been used extensively in clinical applications. The complementary features of two major co-registration methods-surface- and mutual-information-based (MI-based)-motivated us to study a hybrid-based scheme that uses the surface-based method to achieve a quick alignment, followed by the MI-based method for fine tuning. Computer simulations were conducted to evaluate the accuracy and robustness of surface-, MI-, and hybrid-based registration methods by designing different levels of noise and mismatch in the registration experiments. Results demonstrated that the hybrid surface-MI-based scheme outperforms both the surface- and MI-based methods in providing superior accuracy and success rates. Specifically, the translational and rotational errors were no more than 1 mm and 2°, respectively, with consistent success rates over 98%. Besides, the hybrid-based method saved 12-53% of the computation efforts, compared with using the MI-based method alone. We recommend the use of hybrid-based method when the orientational differences between the floating and reference images exceed 10°.

原文English
頁(從 - 到)671-685
頁數15
期刊Medical and Biological Engineering and Computing
49
發行號6
DOIs
出版狀態Published - 2011 六月

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Computer Science Applications

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