2017 Volume 26 Issue 11
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Ya-Jun Ma, Sha Li, Song Gao. 2017: Improved simultaneous multislice magnetic resonance imaging using total variation regularization, Chinese Physics B, 26(11): 550-553. doi: 10.1088/1674-1056/26/11/118701
Citation: Ya-Jun Ma, Sha Li, Song Gao. 2017: Improved simultaneous multislice magnetic resonance imaging using total variation regularization, Chinese Physics B, 26(11): 550-553. doi: 10.1088/1674-1056/26/11/118701

Improved simultaneous multislice magnetic resonance imaging using total variation regularization

  • Available Online: 30/12/2017
  • Fund Project: the National Natural Science Foundation of China(Grant 61671026)%the Natural Science Foundation of Beijing,China(Grant 7162112)
  • Controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) for simultaneous multislice imaging has been proposed recently,which combines multiband excitation and phase cycling techniques to reduce scan time and improve subsequent imaging reconstruction.In this work,the total variation (TV) regularization method is used to further improve CAIPIRINHA.The TV regularization uses an edge-preserving prior,which establishes a relationship between neighboring pixels for image reconstruction.It reduces artifacts and suppresses noise amplification simultaneously.The results are presented with a standard eight-channel head coil with an acceleration factor of 4,where the TV-regularized CAIPIRINHA generates an improved reconstruction as compared with a typical nonregularized CAIPIRINHA.
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通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Improved simultaneous multislice magnetic resonance imaging using total variation regularization

Abstract: Controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) for simultaneous multislice imaging has been proposed recently,which combines multiband excitation and phase cycling techniques to reduce scan time and improve subsequent imaging reconstruction.In this work,the total variation (TV) regularization method is used to further improve CAIPIRINHA.The TV regularization uses an edge-preserving prior,which establishes a relationship between neighboring pixels for image reconstruction.It reduces artifacts and suppresses noise amplification simultaneously.The results are presented with a standard eight-channel head coil with an acceleration factor of 4,where the TV-regularized CAIPIRINHA generates an improved reconstruction as compared with a typical nonregularized CAIPIRINHA.

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