Real-time cardiac MRI using prior spatial-spectral information.
Real-time cardiac MRI using prior spatial-spectral information.
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DOI：
10.1109/iembs.2009.5333482
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Liang ZP
中科院分区：
文献类型：
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作者：
Brinegar C;Zhang H;Wu YJ;Foley LM;Hitchens T;Ye Q;Pocci D;Lam F;Ho C;Liang ZP
在患者呼吸时进行的心脏MRI通常使用非实时技术实现，例如使用呼吸门控的ECG触发;然而，现代动态成像技术开始实现这种类型的实时成像。这些动态成像技术之一是基于形成数据的部分可分离函数（PSF）模型，但已知即使使用截断SVD正则化，模型拟合过程也是敏感的。结果，当测量的总数有限时，在动态图像中可能出现生理上无意义的伪影。为了解决这个问题，动态成像问题被制定为一个广义的Tikhonov正则化问题的PSF模型作为一个组成部分的前向数据模型，和罚函数被用来引入空间谱先验信息。当应用于心脏MRI时，这种新方法相对于基于原始PSF的方法既降低了数据采集要求又提高了稳定性。
Cardiac MRI performed while the patient is breathing is typically achieved using non-real-time techniques such as ECG triggering with respiratory gating; however, modern dynamic imaging techniques are beginning to enable this type of imaging in real-time. One of these dynamic imaging techniques is based on forming a Partially Separable Function (PSF) model of the data, but the model fitting process is known to be sensitive even when truncated SVD regularization is used. As a result, physiologically meaningless artifacts can appear in the dynamic images when the total number of measurements is limited. To address this issue, the dynamic imaging problem is formulated as a generalized Tikhonov regularization problem with the PSF model as a component of the forward data model, and a penalty function is used to introduce spatial-spectral prior information. This new method both reduces data acquisition requirements and improves stability relative to the original PSF based method when applied to cardiac MRI.