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Abstract #0081

A New Background Field Removal Method Using Region Adaptive KernelĀ for Human Brain MRI

Jinsheng Fang1, Lijun Bao1, and Zhong Chen1

1Department of Electronic Science, Xiamen University, Xiamen, People's Republic of China

we propose a new background field removal method by using region adaptive kernel (REAK) based on local energy distribution. Experimental results on simulation data and in vivo human data demonstrated that our method has good performance on suppressing the susceptibility artifacts caused by large susceptibility variations, such as over boundary regions of brain skull, venous vessels and paranasal sinuses. This can facilitate the susceptibility map reconstruction and achieve more accurate QSM approximate to the results of COSMOS, which is helpful for the QSM technique and its application in the clinical medicine.

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