Edge-enhanced spatiotemporal constrained reconstruction of undersampled dynamic contrast-enhanced radial MRI.
Edge-enhanced spatiotemporal constrained reconstruction of undersampled dynamic contrast-enhanced radial MRI.
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DOI：
10.1016/j.mri.2011.12.021
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发表时间：
2012-06
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：
Iyer, Srikant Kamesh;Tasdizen, Tolga;DiBella, Edward V. R.
动态对比增强磁共振成像（MRI）是一种用于研究和跟踪体内感兴趣区域的对比动力学的技术。从欠采样数据中重建具有高对比度和锐利边缘的图像是一个挑战。虽然使用径向采集和时空约束重建（STCR）方法取得了良好的结果，但我们建议使用空间自适应加权和额外的基于边缘的约束进行改进。该方法利用滑动窗口参考图像的强度梯度来提高重建图像的边缘清晰度。该方法在8组24条射线的径向心脏灌注数据集上进行了测试，并与STCR方法进行了比较。重建结果表明，与STCR相比，边缘增强时空约束重建方法能够重建出边缘更清晰的图像，比噪比提高36%±13.7%，边缘附近对比度提高24%±11%。本文的新颖之处在于将空间全变差（TV）约束的空间自适应加权与梯度匹配项相结合，以提高边缘的清晰度。来自参考图像的边缘映射允许重建在TV和边缘增强之间权衡，这取决于边缘映射提供的空间变化权重。
Dynamic contrast-enhanced magnetic resonance imaging (MRI) is a technique used to study and track contrast kinetics in an area of interest in the body over time. Reconstruction of images with high contrast and sharp edges from undersampled data is a challenge. While good results have been reported using a radial acquisition and a spatiotemporal constrained reconstruction (STCR) method, we propose improvements from using spatially adaptive weighting and an additional edge-based constraint. The new method uses intensity gradients from a sliding window reference image to improve the sharpness of edges in the reconstructed image. The method was tested on eight radial cardiac perfusion data sets with 24 rays and compared to the STCR method. The reconstructions showed that the new method, termed edge-enhanced spatiotemporal constrained reconstruction, was able to reconstruct images with sharper edges, and there were a 36%±13.7% increase in contrast-to-noise ratio and a 24%±11% increase in contrast near the edges when compared to STCR. The novelty of this paper is the combination of spatially adaptive weighting for spatial total variation (TV) constraint along with a gradient matching term to improve the sharpness of edges. The edge map from a reference image allows the reconstruction to trade-off between TV and edge enhancement, depending on the spatially varying weighting provided by the edge map.
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影响因子：
3.3
作者：
Tsao, J;Boesiger, P;Pruessmann, KP
通讯作者：
Pruessmann, KP
DOI：
10.1002/jmri.1880060512
发表时间：
1996-09-01
期刊：
JMRI-JOURNAL OF MAGNETIC RESONANCE IMAGING
影响因子：
--
作者：
Chandra, S;Liang, ZP;Lauterbur, PC
通讯作者：
Lauterbur, PC
影响因子：
3.3
作者：
Adluru, Ganesh;Awate, Suyash P.;DiBella, Edward V. R.
通讯作者：
DiBella, Edward V. R.
影响因子：
4
作者：
RUDIN, LI;OSHER, S;FATEMI, E
通讯作者：
FATEMI, E
影响因子：
3.3
作者：
Xu, Dan;King, Kevin F.;Liang, Zhi-Pei
通讯作者：
Liang, Zhi-Pei