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并行磁共振成像SMASH算法的C++语言实现 被引量:1

Implementation of SMASH Algorithm for Parallel MRI Using C++
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摘要 对并行磁共振成像的k空间域SMASH算法进行了研究,提出了具体的工程实现方法.用C++语言创建了SMASH算法类,该类实现了5种功能:读入k空间数据,计算线圈灵敏度,求解谐波系数,拟合生成未采集的k空间数据,然后用逆傅立叶变换重建得到图像.对原始数据的重建结果表明:该算法类可以成功重建图像,为并行MRI图像重建算法在工程实现中提供了重要参考. In this paper,a specific implementation of SMASH Algorithm for Parallel MRI Using C++ is introduced for engineering application.The class of SMASH is designed to realize the SMASH algorithm,which can read k-space data,make the coil-array sensitivity estimation using auto-calibration scan data,solve the harmonics coefficients,fit the missing k-space data and reconstruct the image with inverse FFT.Using the SMASH C^++ class,images are successfully reconstructed for a brain raw data,which are collected by a eight-channel coil array.The class provides a reference on the implementation of parallel MRI algorithm.
作者 黄敏 汪超
出处 《中南民族大学学报(自然科学版)》 CAS 2010年第3期79-83,共5页 Journal of South-Central University for Nationalities:Natural Science Edition
基金 国家自然科学基金资助项目(30970782)
关键词 SMASH算法 并行磁共振成像 k空间数据 SMASH parallel magnetic resonance imaging k-space data
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参考文献3

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二级参考文献18

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共引文献18

同被引文献4

  • 1赵喜平.磁共振成像[M]北京:科学出版社,2004.
  • 2GRISWOLD M A,JAKOB P M,HEIDEMANN R M. Generalized autocalibrating partially parallel acquisitions(GRAPPA)[J].Magnetci Resonance in Medcine,2002,(47).doi:10.1002/mrm.10171.
  • 3M BLAIMER. SMASH,SENSE,PILS,GRAPPA,how to choose the optimal method[J].Topics in Magnetic Resonance Imaging,2004,(04).
  • 4戴华.矩阵论[M]北京:科学出版社,2001.

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