Temporally constrained reconstruction of dynamic cardiac perfusion MRI
Temporally constrained reconstruction of dynamic cardiac perfusion MRI
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DOI：
10.1002/mrm.21248
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发表时间：
2007-06-01
影响因子：
3.3
通讯作者：
DiBella, Edward V. R.
中科院分区：
文献类型：
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作者：
Adluru, Ganesh;Awate, Suyash P.;DiBella, Edward V. R.
动态增强(DCE)磁共振成像是一种强大的技术，可以探测身体感兴趣的区域。这里提出了一种时间约束重建(TCR)技术，该技术需要较少的k空间数据来获得高质量的重建图像。这种方法可以用来提高空间或时间分辨率，或增加感兴趣对象的覆盖范围。该方法利用时间约束迭代地联合重建空时数据，以解决混叠问题。在DCE心肌灌注数据上实现了该方法，并对其可行性进行了验证。将使用TCR方法从稀疏k空间数据获得的结果与使用滑动窗口(SW)方法获得的结果以及使用标准逆傅立叶变换(IFT)从全数据获得的结果进行了比较。加速倍数为5(R=5)，图像质量没有明显损失。在稀疏数据(R=5)上使用TCR方法重建的图像的信噪比(SNR)和对比噪声比(CNR)平均提高了2 8+/-4%，与基于全数据的标准IFT重建相比，在灌注数据集上观察到平均提高了14 4%。该方法有可能改善动态心肌灌注成像，也有可能重建其他稀疏的动态磁共振成像。
Dynamic contrast-enhanced (DCE) MRI is a powerful technique to probe an area of interest in the body. Here a temporally constrained reconstruction (TCR) technique that requires less k-space data over time to obtain good-quality reconstructed images is proposed. This approach can be used to improve the spatial or temporal resolution, or increase the coverage of the object of interest. The method jointly reconstructs the space-time data iteratively with a temporal constraint in order to resolve aliasing. The method was implemented and its feasibility tested on DCE myocardial perfusion data with little or no motion. The results obtained from sparse k-space data using the TCR method were compared with results obtained with a sliding-window (SW) method and from full data using the standard inverse Fourier transform (IFT) reconstruction. Acceleration factors of 5 (R = 5) were achieved without a significant loss in image quality. Mean improvements of 28 +/- 4% in the signal-to-noise ratio (SNR) and 14 4% in the contrast-to-noise ratio (CNR) were observed in the images reconstructed using the TCR method on sparse data (R = 5) compared to the standard IFT reconstructions from full data for the perfusion datasets. The method has the potential to improve dynamic myocardial perfusion imaging and also to reconstruct other sparse dynamic MR acquisitions.