Weighted total variation using split Bregman fast quantitative susceptibility mapping reconstruction method<xref rid="cpb_27_8_088701fn1" ref-type="fn">*</xref><fn id="cpb_27_8_088701fn1"><label>*</label><p>Project supported by the National Natural Science Foundation of China (Grant Nos. 11474236, 81671674, and 11775184) and the Science and Technology Project of Fujian Province, China (Grant No. 2016Y0078).</p></fn>

Weighted total variation using split Bregman fast quantitative susceptibility mapping reconstruction method**

Project supported by the National Natural Science Foundation of China (Grant Nos. 11474236, 81671674, and 11775184) and the Science and Technology Project of Fujian Province, China (Grant No. 2016Y0078).

Chen Lin¹, Zheng Zhi-Wei¹, Bao Li-Jun¹, Fang Jin-Sheng¹, Yang Tian-He², Cai Shu-Hui^{1, †}, Cai Cong-Bo^{3, ‡}

(color online) Selection of regularization parameters for MEDI and WTVSB according to RMSEs and MSSIMs using in vivo human brain data. Optimal parameters are shown with black dots. Unequal interval of the horizontal coordinate is used for better comparison.