Reconstruction of dynamic contrast enhanced magnetic resonance imaging of the breast with temporal constraints.
Reconstruction of dynamic contrast enhanced magnetic resonance imaging of the breast with temporal constraints.
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DOI：
10.1016/j.mri.2010.03.001
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发表时间：
2010-06
影响因子：
2.5
通讯作者：
DiBella, Edward V. R.
中科院分区：
文献类型：
--
作者：
Chen, Liyong;Schabel, Matthias C.;DiBella, Edward V. R.
关键词：
对于欠采样动态磁共振成像(MRI)数据的重建，已经提出了许多使用时间和空间约束的方法。可以以多种不同的方式约束或正则化复杂数据，例如，可以单独或联合约束幅度和相位图像体素的时间导数。直观地说，不同正则化的性能将取决于数据和所选择的时间约束。在这里，将复杂的时间总变化(TV)约束与使用单独的实数和虚数约束进行比较，并与单独的震级约束进行比较。采用基于梯度下降的凸集投影(POCS)方法，实现了DCE MRI数据重建过程中不同的时间约束。对于乳腺DCE数据，分别具有实数和虚数TV约束的串联POC的效果相对较差，而具有复杂时间TV约束的串/并行POC和仅具有幅度限制的串行POC的加速因子R=6表现良好。在肿瘤区域，最好的方法是具有复杂时间TV约束的并行POCS。该方法得到的药代动力学参数估计值与全样本数据的估计值呈线性相关，相关系数r=0.98，kep，R=6=0.95kep，R=1+0.00(r=0.85)。这些结果表明，以最小的图像质量损失获得具有更高的空间和/或时间分辨率的高度欠采样的乳腺DCE-MRI数据是可能的。
A number of methods using temporal and spatial constraints have been proposed for reconstruction of undersampled dynamic magnetic resonance imaging (MRI) data. The complex data can be constrained or regularized in a number of different ways, for example, the time derivative of the magnitude and phase image voxels can be constrained separately or jointly. Intuitively, the performance of different regularizations will depend on both the data and the chosen temporal constraints. Here, a complex temporal total variation (TV) constraint was compared to the use of separate real and imaginary constraints, and to a magnitude constraint alone. Projection onto Convex Sets (POCS) with a gradient descent method was used to implement the diverse temporal constraints in reconstructions of DCE MRI data. For breast DCE data, serial POCS with separate real and imaginary TV constraints was found to give relatively poor results while serial/parallel POCS with a complex temporal TV constraint and serial POCS with a magnitude-only temporal TV constraint performed well with an acceleration factor as large as R=6. In the tumor area, the best method was found to be parallel POCS with complex temporal TV constraint. This method resulted in estimates for the pharmacokinetic parameters that were linearly correlated to those estimated from the fully-sampled data, with Ktrans,R=6=0.97 Ktrans,R=1+0.00 with correlation coefficient r=0.98, kep,R=6=0.95 kep,R=1+0.00 (r=0.85). These results suggest that it is possible to acquire highly undersampled breast DCE-MRI data with improved spatial and/or temporal resolution with minimal loss of image quality.
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影响因子：
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作者：
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