A multi-step method for material decomposition in spectral computed tomography
A multi-step method for material decomposition in spectral computed tomography
复制标题
光谱计算机断层扫描中材料分解的多步方法
DOI：
10.1117/12.2256114
复制
发表时间：
2017
影响因子：
3.5
通讯作者：
M. Das
中科院分区：
文献类型：
--
作者：
N. Fredette;Cale E. Lewis;M. Das
当使用光子计数探测器用于材料分解问题时，主要问题是每个能量箱的低计数率，这可能导致高图像噪声，并损害对比度和准确度。提出了一种用于光谱计算机断层扫描（CT）的材料分解的多步算法方法，其中问题被配制为一系列更简单和剂量有效的分解，而不是同时求解。探索了四种材料的简单域;水、羟基磷灰石、碘和金。结果表明，与同时分解材料的类似方法相比，在低噪声的情况下，准确度有所提高。在多步骤方法中，对于相同的采集的能量箱数据，在每个步骤中用减少的能量箱数量（导致每个箱的更高计数水平）和每个步骤中的未知数来重新表述问题。这为每种材料类型的能量箱的选择提供了灵活性。我们的结果是非常初步的，但显示出解决具有挑战性的分解任务的承诺和潜力。完整的工作将包括详细分析这种方法和实验数据与更复杂的混合物。
When using a photon counting detector for material decomposition problems, a major issue is the low-count rate per energy bin which may lead to high image-noise with compromised contrast and accuracy. A multi-step algorithmic method of material decomposition is proposed for spectral computed tomography (CT), where the problem is formulated as series of simpler and dose efficient decompositions rather than solved simultaneously. A simple domain of four materials; water, hydroxyapatite, iodine and gold was explored. The results showed an improvement in accuracy with low-noise over a similar method where the materials were decomposed simultaneously. In the multi-step approach, for the same acquired energy bin data, the problem is reformulated in each step with decreasing number of energy bins (resulting in a higher count levels per bin) and unknowns in each step. This offers flexibility in the choice of energy bins for each material type. Our results are very preliminary but show promise and potential to tackle challenging decomposition tasks. Complete work will include detailed analysis of this approach and experimental data with more complex mixtures.
影响因子：
3.8
作者：
Taguchi, Katsuyuki;Iwanczyk, Jan S.
通讯作者：
Iwanczyk, Jan S.
影响因子：
3.8
作者：
Alessio, Adam M.;MacDonald, Lawrence R.
通讯作者：
MacDonald, Lawrence R.
影响因子：
3.8
作者：
Le, Huy Q.;Molloi, Sabee
通讯作者：
Molloi, Sabee