The ill-posed problem and regularization in parallel magnetic resonance imaging
From a linear algebra point of view, the article has studied the ill-posed problems in parallel magnetic resonance imaging (MRI), and posed its influences on the final reconstructed image. Consequently, the article proposed the regularization methods in parallel MRI, and also by g-factor the article has compared the regularized parallel MRI with the conventional reconstruction. In the result, the article has posed that the suitable regularization method is a key technology in parallel MRI reconstruction, and the theory of inverse problems can provide the best idea for resolving the problems in parallel MRI.
the ill-posed problem regularization parallel magnetic resonance imaging
XiaoFang Liu WenLong Xu XiuZi Ye XiaoFang Liu
Information technology Institute China JiLiang University Hangzhou china College of Computer Science and Technology Zhejiang University Hangzhou china
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）