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Pixel-wise partial volume effects correction on arterial spin labeling magnetic resonance images

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Abstract

Arterial spin labeling is a recently emerging imaging modality in functional magnetic resonance, and it is widely acknowledged to be effective in directly measuring the cerebral blood flow of patients while being scanned, which makes it a promising indicator in contemporary dementia disease diagnosis studies. However, partial volume effects mainly caused by signal cross-contamination due to pixel heterogeneity and limited spatial resolution of the arterial spin labeling scanning protocol often prevent the cerebral blood flow from being accurately measured. In order to correct the partial volume effects, contemporary studies usually rely on neighboring pixles to solve indefinite equations of partial volume correction, which makes shortcomings of blurring and brain tissue details loss inevitable in their correction outcomes. In this study, a novel pixel-wise correction method is proposed to tackle partial volume effects in arterial spin labeling images. The main idea is to formalize the correction problem as a series of quadratic programming sub-problems using split-Bregman iterations, then formulate each sub-problem via the regularization of least absolute shrinkage and selection operator, and finally solve the regularization sub-problem via the fast proximal gradient descent approach. A real-patients database composed of 360 demented patients is incorporated for experimental evaluation of the pixel-wise method. Extensive experiments and comprehensive statistical analysis are carried out to demonstrate the superiority of the pixel-wise method with comparisons towards the popular region-based method. Promising results are reported from the statistical point of view.

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Acknowledgments

The authors would like to acknowledge Grants 61403182, 61363046 and 61571362 approved by the National Natural Science Foundation of China, the Grant [2014]1685 approved by the Scientific Research Foundation for Returned Overseas Chinese Scholars, Ministry of Education, China, the 2015 Provincial Young Scientist Program 20153BCB23029 approved by the Jiangxi Provincial Department of Science and Technology, China, as well as the Grant JXJG-15-1-26 approved by the Jiangxi Provincial Department of Education for supporting this study.

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Authors and Affiliations

  1. School of Information Engineering, Nanchang University, Nanchang, China

    Wei Huang, Chuyu Wan & Jing Zeng

  2. School of Biomedical Engineering, Shenzhen University, Shenzhen, China

    Huijun Ding

  3. School of Computer Science, Northwestern Polytechnical University, Xian, China

    Peng Zhang

  4. Xian Communications Institute, Xian, China

    Guang Chen

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  1. Wei Huang
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  2. Chuyu Wan
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  3. Jing Zeng
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  4. Huijun Ding
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  5. Peng Zhang
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  6. Guang Chen
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Correspondence to Huijun Ding.

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Huang, W., Wan, C., Zeng, J. et al. Pixel-wise partial volume effects correction on arterial spin labeling magnetic resonance images. Multimed Tools Appl 77, 6913–6932 (2018). https://doi.org/10.1007/s11042-017-4609-x

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  • DOI: https://doi.org/10.1007/s11042-017-4609-x

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