中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Direct Diffusion Tensor Estimation Using Joint Sparsity Constraint Without Image Reconstruction

文献类型:会议论文

作者Yanjie Zhu; Yin Wu; X. Wu; Leslie Ying; Dong Liang
出版日期2012
会议名称The 20th Annual Meeting & Exihibition of the International Society of Magnetic Resonance in Medicine (ISMRM 2012)
英文摘要The joint sparsity constraint is integrated into the model-based method to improve the accuracy of direct diffusion tensor estimation from highly undersampled k-space data. The method, named model-based method with joint sparsity constraint (MB-JSC), effectively incorporates the prior information on the joint sparsity of different diffusion weighted images in solving the nonlinear equation of tensors. Experimental results demonstrate that the proposed method is able to estimate the diffusion tensors more accurately than the existing method when a high net reduction factor is used.
收录类别其他
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/4064]  
专题深圳先进技术研究院_医工所
作者单位2012
推荐引用方式
GB/T 7714
Yanjie Zhu,Yin Wu,X. Wu,et al. Direct Diffusion Tensor Estimation Using Joint Sparsity Constraint Without Image Reconstruction[C]. 见:The 20th Annual Meeting & Exihibition of the International Society of Magnetic Resonance in Medicine (ISMRM 2012).

入库方式: OAI收割

来源:深圳先进技术研究院

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