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	A model-based method with joint sparsity constraint for direct diffusion tensor estimation
	Yanjie Zhu; Yin Wu; Yuanjie Zhang; Ed X. Wu; Leslie Ying; Dong Liang
	2012
会议名称	2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
会议地点	Barcelona, Spain
英文摘要	Diffusion tensor imaging (DTI) has been widely used for nondestructive characterization of microstructures of myocardium or brain connectivity. It requires repeated acquisition with different diffusion gradients. The long acquisition time greatly limits the clinical application of DTI. In this paper, a novel 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 direct estimation of the diffusion tensor from highly undersampled k-space data. 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	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4059]
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,Yuanjie Zhang,et al. A model-based method with joint sparsity constraint for direct diffusion tensor estimation[C]. 见:2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012. Barcelona, Spain.

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