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Fast quantitative susceptibility reconstruction via total field inversion with improved weighted L0 norm approximation.
Zhang, Li; Chen, Xi; Lin, Jianzhong; Ding, Xinghao; Bao, Lijun; Cai, Congbo; Li, Jing; Chen, Zhong; Cai, Shuhui.
Afiliação
  • Zhang L; Department of Electronic Science, Xiamen University, Xiamen, China.
  • Chen X; Department of Communication Engineering, Xiamen University, Xiamen, China.
  • Lin J; Magnetic Resonance Center, Zhongshan Hospital, Medical College of Xiamen University, Xiamen, China.
  • Ding X; Department of Communication Engineering, Xiamen University, Xiamen, China.
  • Bao L; Department of Electronic Science, Xiamen University, Xiamen, China.
  • Cai C; Department of Electronic Science, Xiamen University, Xiamen, China.
  • Li J; Department of Communication Engineering, Xiamen University, Xiamen, China.
  • Chen Z; Xingaoyi Medical Equipment Co., Ltd., Yuyao, Zhejiang, China.
  • Cai S; Department of Electronic Science, Xiamen University, Xiamen, China.
NMR Biomed ; 32(5): e4067, 2019 05.
Article em En | MEDLINE | ID: mdl-30811722
ABSTRACT
Quantitative susceptibility mapping (QSM) is a meaningful MRI technique owing to its unique relation to actual physical tissue magnetic properties. The reconstruction of QSM is usually decomposed into three sub-problems, which are solved independently. However, this decomposition does not conform to the causes of the problems, and may cause discontinuity of parameters and error accumulation. In this paper, a fast reconstruction method named fast TFI based on total field inversion was proposed. It can accelerate the total field inversion by using a specially selected preconditioner and advanced solution of the weighted L0 regularization. Due to the employment of an effective model, the proposed method can efficiently reconstruct the QSM of brains with lesions, where other methods may encounter problems. Experimental results from simulation and in vivo data verified that the new method has better reconstruction accuracy, faster convergence ability and excellent robustness, which may promote clinical application of QSM.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Imageamento por Ressonância Magnética Limite: Humans Idioma: En Revista: NMR Biomed Assunto da revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Imageamento por Ressonância Magnética Limite: Humans Idioma: En Revista: NMR Biomed Assunto da revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China