MODEL-BASED ESTIMATION FOR DYNAMIC CARDIAC STUDIES USING ECT
MODEL-BASED ESTIMATION FOR DYNAMIC CARDIAC STUDIES USING ECT
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DOI：
10.1109/42.293914
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发表时间：
1994-06-01
影响因子：
10.6
通讯作者：
HERO, AO
中科院分区：
文献类型：
--
作者：
CHIAO, PC;ROGERS, WL;HERO, AO
在本文中，我们开发了一种策略，联合估计的生理参数和心肌边界使用ECT（发射计算机断层扫描）。我们构建了一个观测模型，将感兴趣的参数与投影数据相关联，并考虑到有限的ECT系统分辨率和测量噪声。然后，我们使用最大似然（ML）估计联合估计所有的参数直接从投影数据，而无需重建的中间图像。我们还模拟心肌灌注研究的基础上，一个简化的心脏模型，以评估基于模型的联合ML估计的性能，并比较这种性能的Cramer-Rao下限。最后，我们讨论了模型假设和联合估计策略的潜在用途。
In this paper, we develop a strategy for joint estimation of physiological parameters and myocardial boundaries using ECT (Emission Computed Tomography). We construct an observation model to relate parameters of interest to the projection data and to account for limited ECT system resolution and measurement noise. We then use a maximum likelihood (ML) estimator to jointly estimate all the parameters directly from the projection data without reconstruction of intermediate images. We also simulate myocardial perfusion studies based on a simplified heart model to evaluate the performance of the model-based joint ML estimator and compare this performance to the Cramer-Rao lower bound. Finally, we discuss model assumptions and potential uses of the joint estimation strategy.