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	Direct Diffusion Tensor Estimation Using Joint Sparsity Constraint Without Image Reconstruction
	Yanjie Zhu; Yin Wu; X. Wu; Leslie Ying; Dong Liang
	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
内容类型	会议论文
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).

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