MODEL-BASED ESTIMATION WITH BOUNDARY SIDE INFORMATION OR BOUNDARY REGULARIZATION
MODEL-BASED ESTIMATION WITH BOUNDARY SIDE INFORMATION OR BOUNDARY REGULARIZATION
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DOI：
10.1109/42.293915
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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：
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作者：
CHIAO, PC;ROGERS, WL;HERO, AO
我们之前已经开发了一种基于模型的策略，用于使用ECT（发射计算机断层扫描）联合估计心肌灌注和边界。我们还报告了在低对比度和低计数率情况下边界估计的困难。在本文中，我们建议使用边界侧信息（从高分辨率MRI和CT图像中获得）或边界正则化来改善这些情况下的灌注和边界估计。为了将边界侧信息融合到发射测量中，我们制定了一个联合对数似然函数，包括辅助边界测量和ECT投影测量。此外，我们引入配准参数将辅助边界测量值与ECT测量值对齐，并将这些参数与来自复合测量值的其他感兴趣参数联合估计。在使用简化模型模拟PET 0-15水心肌灌注研究中，我们表明联合估计提高了灌注估计性能，并给出了边界对齐精度
We have previously developed a model-based strategy for joint estimation of myocardial perfusion and boundaries using ECT (Emission Computed Tomography). We have also reported difficulties with boundary estimation in low contrast and low count rate situations. In this paper, we propose using boundary side information (obtainable from high resolution MRI and CT images) or boundary regularization to improve both perfusion and boundary estimation in these situations. To fuse boundary side information into the emission measurements, we formulate a joint log-likelihood function to include auxiliary boundary measurements as well as ECT projection measurements. In addition, we introduce registration parameters to align auxiliary boundary measurements with ECT measurements and jointly estimate these parameters with other parameters of interest from the composite measurements. In simulated PET 0-15 water myocardial perfusion studies using a simplified model, we show that the joint estimation improves perfusion estimation performance and gives boundary alignment accuracy of