论文标题
使用光谱CT数据重建准确的合成hounsfield单元
Reconstructing Accurate Synthetic Hounsfield Units with Spectral CT Data
论文作者
论文摘要
目的：评估提出的方法来重建CT数字，该方法可以准确地模仿光谱CT数据的常规CT数字，这是由常规系统所产生的，而没有光束硬化的效果。 方法：我们实施了模拟理想和非理想光子计数多键系统的建议方法，后者基于光子计数硅检测器，并将它们与模拟的理想理想的常规能量整合系统与拔罐校正校正算法进行比较。我们使用大小和组成的数学幻影比较系统，该数学幻象与没有拔罐校正的常规系统成像时会产生严重的拔罐和光束硬化的人工制品。 结果：所得图像显示的CT数字在不同的组织范围内始终准确，并且没有光束硬化的人工制品。 结论：在从常规CT到频谱CT的过渡期间，此方法可以促进有关各种器官和条件的绝对CT数字的既定规则。
Purpose: To evaluate a proposed method to reconstruct CT numbers that accurately mimic conventional CT numbers from spectral CT data, as would have been produced by a conventional system without effects of beam hardening. Approach: We implement the proposed method for simulated ideal and non-ideal photon counting multi-bin systems, the latter based on a photon counting Silicon detector, and compare them with a simulated ideal conventional energy integrating system with a cupping correction algorithm. We compare the systems using a mathematical phantom of a size and composition that produces severe cupping and beam hardening artefacts when imaged with a conventional system with no cupping correction. Results: The resulting images show CT numbers that are consistently accurate for a varying range of tissues and are free of beam hardening artefacts. Conclusions: This method could facilitate use of established rules-of-thumb regarding absolute CT numbers for various organs and conditions during the transition from conventional CT to spectral CT.
