Abstract：
:T2 mapping is a powerful noninvasive technique providing quantitative biological information of the inherent tissue properties. However, its clinical usage is limited due to the relative long scanning time. This paper proposed a novel model-based method to address this problem. Typically, we directly estimated the relaxation values from undersampled k-space data by exploiting the sparse property of proton density and T2 map in a penalized maximum likelihood formulation. An alternating minimization approach was presented to estimate the relaxation maps separately. Both numerical phantom and in vivo experiment dataset were used to demonstrate the performance of the proposed method. We showed that the proposed method outperformed the state-of-the-art techniques in terms of detail preservation and artifact suppression with various reduction factors and in both moderate and heavy noise circumstances. The superior reconstruction performance validated its promising potential in fast T2 mapping applications.
journal_name
Med Eng Physjournal_title
Medical engineering & physicsauthors
Peng X,Liu X,Zheng H,Liang Ddoi
10.1016/j.medengphy.2014.06.002subject
Has Abstractpub_date
2014-11-01 00:00:00pages
1428-35issue
11eissn
1350-4533issn
1873-4030pii
S1350-4533(14)00142-8journal_volume
36pub_type
杂志文章abstract：:The purpose of this review paper is to summarize the current knowledge on cell-scale mechanically-inflicted deformation-damage, which is at the frontier of cell mechanobiology and biomechanics science, specifically in the context of chronic wounds. The dynamics of the mechanostructure of cells and particularly, the da...
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