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SIMIND scatter estimation: Experimental verification

机译:SIMIND散布估计:实验验证

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Scatter estimation and compensation are not new concepts. However a robust and accurate scatter estimation method that easily adapts to all clinically relevant imaging protocols and emission energies are not yet readily available. The goal of this study was to further develop and evaluate the SIMIND scatter estimation (SSE) method. We acquired and simulated two line-sources approximately 8.4 cm apart in a Deluxe Jaszczak phantom as well as acquired the Jaszczak anthropomorphic phantom with activity in the Iowa heart insert and the liver. The measured and simulated data were reconstructed using the rescaled-block iterative (RBI) method using 5 iterations and 4 projections per subset. A three dimensional (3D) Gaussian filter were applied to all data. To compare the different scatter estimation methods, line profiles were drawn through both the reconstructed line-sources and the reoriented short-axis slices of the Iowa heart. The scatter estimates of the methods were also obtained and reconstructed. Profiles for comparison were also drawn. We consistently show that ESSE and TEW underestimate the scatter component compared to SSE, although compensated images look quite similar. However, we agree with others that rigorous modeling all the important aspects of the acquisition process inevitably results in a more accurate and robust representation, especially as we move towards achieving the ultimate goal: absolute quantification.
机译:散布估计和补偿不是新概念。然而,尚不容易获得容易适应所有临床相关成像方案和发射能量的鲁棒且准确的散射估计方法。这项研究的目的是进一步开发和评估SIMIND散射估计(SSE)方法。我们在豪华的Jaszczak幻象中获取并模拟了相距约8.4 cm的两个线源,并获取了在爱荷华州心脏插入物和肝脏中具有活动性的Jaszczak拟人幻象。使用重缩放块迭代(RBI)方法重建测量和模拟数据,每个子集进行5次迭代和4次投影。将三维(3D)高斯滤波器应用于所有数据。为了比较不同的散射估计方法,通过重建的线源和爱荷华州心脏的重新定向短轴切片绘制了线轮廓。还获得并重建了方法的分散估计。还绘制了用于比较的配置文件。我们始终表明,与SSE相比,ESSE和TEW低估了散射分量,尽管补偿后的图像看起来非常相似。但是,我们与其他人一样,对采集过程的所有重要方面进行严格建模不可避免地会导致更准确和更可靠的表示,尤其是在我们朝着实现最终目标:绝对量化迈进的过程中。

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