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功能磁共振时间序列图像快速配准方法研究 被引量：1

Research on the fast registration method of fMRI time-series images
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摘要 提出了一种非迭代分别检测时间序列图像间旋转、平移运动的方法 .该方法基于傅立叶频谱的相位相关特性 ,解决了迭代配准算法中的旋转与平移耦合问题 .通过精心选择参考图像 ,采用基于递归数字滤波的三次B样条插值方法 ,实现了功能磁共振序列图像的快速配准 。 A non iterative method to determine the rotation and translation among the time series images separately is presented, which is based on phase correlation properties of the Fourier spectrum, resolving the coupling problem of roto translation in the iterative registration algorithm. In addition, by selecting the reference image exquisitely, using the cubic B spline interpolation algorithm based on recursive digital filter, this method implements fast sub pixel registration of fMRI time series images.
作者 王世杰 罗立民
机构地区 东南大学生物科学与医学工程系
出处 《东南大学学报（自然科学版）》 EI CAS CSCD 北大核心 2003年第2期211-214,共4页 Journal of Southeast University：Natural Science Edition
关键词 迭代配准算法 旋转 平移 耦合 三次B样条插值方法 功能磁共振成像 时间序列图像 亚像素级 脑科学 fMRI registration phase correlation method cubic B spline interpolation
分类号 R741.044 [医药卫生—神经病学与精神病学] R445.2 [医药卫生—影像医学与核医学]
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参考文献6

  • 1[1]Thévenaz P, Ruttimann U E, Unser M. A pyramid approach to subpixel registration based on intensity [J]. IEEE Trans Image Processing, 1998,7(1):27-41.
  • 2[2]Kim S P, Su W Y. Subpixel accuracy image registration by spectrum cancellation [A]. In: Proc ICASSP[C]. Minneapolis, MN, 1993. 153-156.
  • 3[3]Shekarforoush H, Berthod M, Zerubia J. Subpixel image registration by estimating the polyphase decomposition of cross power spectrum [A]. In: Comput Vis Pattern Recognit[C]. Los Alamitos, CA: IEEE Computer Society Press, 1996. 532-537.
  • 4[4]Stone H S, Orchard M T, Martucci S A, et al. A fast direct Fourier-based algorithm for subpixel registration of images [J]. IEEE Trans Geoscience and Remote Sensing, 2001, 39(10): 2235-2243.
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同被引文献10

  • 1Friston K, et al. Movement related effects in fMRI time series. Magn. Reson. Med.1996, 35:346-355
  • 2Jezzard P and Clare S. Sources of distortion in functional MRI data. Human Brain Mapping, 1999, 8:80-85
  • 3Hu X, et al. Retrospective estimation and compensation of physiological fluctuation in functional MRI. Magn. Reson. Med, 1995, 34:210-221
  • 4Ogawa S, et al. Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging: a comparison of signal characteristics with a biophysical model. Biophys. J., 1993, 64:803-812
  • 5Buonocore MH et al. Ghost artifact reduction for echo planner imaging using image phase correction. Magn. Reson. Med. 1996, 38:89-100
  • 6Buonocore MH et al. Image-based ghost correction for interleaved EPI. Magn.Reson. Med, 2001, 45:96-108.Kupusamy K, et al. Importance of EKG gating in functional magnetic resonance imaging of human motor cortex. Abs. Soc. Neurosci.1995, p. 1420.
  • 7Reber P J, et al. Correction of off resonance-related distortion in echo planar imaging using EPI-Based field maps. Magn. Rseon. Med. 1998, 39:328-330
  • 8Chen, N., & Wyrwicz, A. M. Removal of intravoxel dephasing in gradient -echo images using a field-map based RF refocusing technique. Magnetic Resonance in Medicine, 1999, 42: 807-812.
  • 9Crelier, G. R., Hoge, R. D., Munger, P., & Pike, G. B. Perfusion-based functional magnetic resonance imaging with single-shot RARE and GRASE acquisitions.Magnetic Resonance in Medicine, 1999, 41(1):132-136
  • 10Yang, Q. X., et al. Removal of localfield gradient artifacts in T2*-weighted images at high fields by gradient echo slice excitation profile imaging. Magnetic Resonance in Medicine, 1998, 39(3):402-409

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东南大学学报（自然科学版）
2003年 第2期

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