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• Technical Article •
Construction of the probability map of the human deep brain nuclei by quantitative susceptibility mapping
BO Bin-shi  ZHAI Guo-qiang  ZHANG Miao  Wang Yi  LI Jian-qi 

DOI:10.12015/issn.1674-8034.2017.05.010.


[Abstract] Objective: Based on quantitative susceptibility mapping (QSM) technique, an auto-segment probabilistic atlas for the gray matter nuclei in deep brain was established in the present study.Materials and Methods: The QSM data from 15 healthy subjects were acquired on a clinical 3.0 T MRI scanner with a 12 channel matrix head coil. Ten subjects were randomly selected to create a gray matter nuclei atlas of the deep brain, and the remained five subjects were used to evaluate the effectiveness of the atlas. Specifically, the regions of interest (ROI) in six bilateral structures drawn manually by two raters were used as the gold standard, meanwhile, these corresponding ROIs were automatically segmented by three kinds of atlas. To assess the accuracy of proposed segment approach, the probabilistic atlas was compared with both AAL and Johns Hopkins atlas by calculating the Dice coefficient and the susceptibility values in the auto-segment and manual-segment ROIs, respectively.Results: The Dice coefficient in our probability atlas was significantly higher than the AAL in the basal ganglia region and the Johns Hopkins atlas in the skull base and cerebellum, respectively. Moreover, the susceptibility values in our probability atlas were more closer to that of manual segment region compared with the other two atlases.Conclusions: The probability atlas based on the QSM images is more reliable than both AAL and Johns Hopkins atlas in the segment of gray matter nuclei of deep brain. This atlas may be effective to improve the efficiency of image analysis in the clinical research.
[Keywords] Magnetic resonance imaging；Quantitative susceptibility mapping；Atlas-based segmentation；Deep brain nuclei

BO Bin-shi Shanghai Key Laboratory of Magnetic Resonance & Department of Physics, East China Normal University, Shanghai 200062, China

ZHAI Guo-qiang Shanghai Key Laboratory of Magnetic Resonance & Department of Physics, East China Normal University, Shanghai 200062, China

ZHANG Miao Shanghai Key Laboratory of Magnetic Resonance & Department of Physics, East China Normal University, Shanghai 200062, China

Wang Yi Shanghai Key Laboratory of Magnetic Resonance & Department of Physics, East China Normal University, Shanghai 200062, China; Department of Radiology, Weill Medical College of Cornell University, New York 10022, U S A

LI Jian-qi* Shanghai Key Laboratory of Magnetic Resonance & Department of Physics, East China Normal University, Shanghai 200062, China

*Correspondence to: Li JQ, E-mail: jqli@phy.ecnu.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  This study was supported by grant from the National Natural Sciences Foundation No. 81271533
Received  2016-12-19
Accepted  2017-04-06
DOI: 10.12015/issn.1674-8034.2017.05.010
DOI:10.12015/issn.1674-8034.2017.05.010.

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