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Optimization of background suppression for arterial spin labeling perfusion imaging

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Abstract

Object

To present an algorithm for optimization of background suppression pulse timing for arterial spin labeling (ASL) perfusion imaging.

Materials and methods

An algorithm for optimization of background suppression pulse timing is proposed. Numerical optimization of timing of the background suppression pulses is investigated in both constrained and unconstrained ASL sequences. The performance of the parameters from the algorithm is evaluated in phantom and also in vivo in five human subjects.

Results

The background signal is suppressed to less than 1% across a broad range of T1s with a modest number of inversion pulses using the timings acquired from the numerical optimization algorithm proposed in this study. The performance of the parameters from the algorithm is also confirmed in vivo.

Conclusion

Successful background suppression over a broad range of tissues is achievable. Values for optimal pulse timing in both pulsed and continuous ASL studies are reported to facilitate sequence design with different labeling parameters.

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Acknowledgments

This work was supported in part by a grant from the National Institutes of Health through grant MH80729.

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Authors and Affiliations

  1. Department of Radiology, Children’s Hospital Boston, 300 Longwood Ave, Boston, MA, 02115, USA

    Nasim Maleki

  2. Department of Radiology, Harvard Medical School, Boston, MA, USA

    Nasim Maleki

  3. Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA

    Weiying Dai & David C. Alsop

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  1. Nasim Maleki
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  2. Weiying Dai
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  3. David C. Alsop
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Correspondence to Nasim Maleki.

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Maleki, N., Dai, W. & Alsop, D.C. Optimization of background suppression for arterial spin labeling perfusion imaging. Magn Reson Mater Phy 25, 127–133 (2012). https://doi.org/10.1007/s10334-011-0286-3

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  • DOI: https://doi.org/10.1007/s10334-011-0286-3

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