Riederer S J, Kruger R A, Mistretta C A, Ergun D L, Shaw C G
Med Phys. 1981 Jul-Aug;8(4):480-7. doi: 10.1118/1.594994.
In an earlier article we discussed the rationale for using differences between video images in three-beam selective iodine K-edge imaging. Rather than combining three initial images Li linearly to yield the final image k1L1 + k2L2 + k3L3, differences between the Li were first generated and then combined either to linear or quadratic order. This approach was motivated by the desire to suppress the large multiplicative biases of fluoroscopic imaging and justified by theoretically proving that k1 + k2 + k3 is approximately equal to 0. In this paper we discuss the instrumentation and experimental results obtained from this difference-based technique. A specially-constructed apparatus is described which automatically selects the optimum combination coefficients and combines the difference images up to quadratic order at realtime video rates. Three methods for generating K-edge subtraction images are compared: the former approach in which the Li are linearly combined and combination of differences to linear and quadratic order. In imaging phantoms in which the iodine distribution is known, the resultant subtraction images from all three methods appear similar. Inspection of signal sizes shows that the quadratic difference-based approach provides superior bone and tissue residual suppression by about a factor of 2. In imaging phantoms in which the iodine distribution is unknown, incomplete suppression of x-ray scatter and image intensifier veiling glare prevent a quantitative comparison of performance of the three algorithms. An experiment verification is provided of the theorem which states that k1 + k2 + k3 is approximately equal to 0.
在之前的一篇文章中,我们讨论了在三束选择性碘 K 边成像中使用视频图像差异的基本原理。不是将三个初始图像 Li 线性组合以产生最终图像 k1L1 + k2L2 + k3L3,而是首先生成 Li 之间的差异,然后将其组合到线性或二次阶数。这种方法的动机是抑制荧光透视成像中的大乘法偏差,并且通过理论证明 k1 + k2 + k3 近似等于 0 来证明其合理性。在本文中,我们讨论了从这种基于差异的技术获得的仪器设备和实验结果。描述了一种专门构建的装置,该装置可自动选择最佳组合系数,并以实时视频速率将差异图像组合到二次阶数。比较了三种生成 K 边减法图像的方法:Li 线性组合的前一种方法以及差异组合到线性和二次阶数的方法。在碘分布已知的成像体模中,来自所有三种方法的所得减法图像看起来相似。对信号大小的检查表明,基于二次差异的方法在抑制骨骼和组织残留方面表现更优,约为原来的两倍。在碘分布未知的成像体模中,X 射线散射和图像增强器遮蔽眩光的不完全抑制使得无法对这三种算法的性能进行定量比较。提供了一个定理的实验验证,该定理表明 k1 + k2 + k3 近似等于 0。