Riederer S J, Kruger R A, Mistretta C A
Med Phys. 1981 Jul-Aug;8(4):471-9. doi: 10.1118/1.594993.
Our lab has previously generated selective iodine images with an image intensifier fluoroscopic system using a three-beam K-edge approach. Logarithmically amplified video images Li were linearly combined to yield the final image k1L1 + k2L2 + k3L3. This paper discusses refinements of the K-edge technique. A study is made of the manner in which contrast-reducing effects such as x-ray scatter and image intensifier veiling glare enter into the final image. If such biases can be approximated as multiplicative and independent of the x-ray spectrum, and if the sum of the ki is zero, then the biases are canceled. Experimental data is presented which demonstrates that the inaccuracy due to such biases can be reduced by a factor as large as 10. The theorem that K1 + K2 + K3 is approximately equal to 0 is proven rigorously and discussed. Because the ki add to zero, the final image can be expressed as a linear combination of two of the differences between the Li. A difference-based algorithm which reduces biases and make allowance for nonlinearities such as beam hardening is proposed and discussed.
我们实验室之前使用三束K边方法,通过影像增强荧光透视系统生成了选择性碘图像。对数放大的视频图像Li进行线性组合,以产生最终图像k1L1 + k2L2 + k3L3。本文讨论了K边技术的改进。研究了诸如X射线散射和影像增强器蒙罩眩光等对比度降低效应进入最终图像的方式。如果这些偏差可以近似为乘法且与X射线光谱无关,并且如果ki的和为零,那么这些偏差就会被消除。给出的实验数据表明,由于这些偏差导致的不准确性可以降低多达10倍。严格证明并讨论了K1 + K2 + K3近似等于0的定理。因为ki相加为零,所以最终图像可以表示为Li之间两个差值的线性组合。提出并讨论了一种基于差值的算法,该算法可减少偏差并考虑诸如束硬化等非线性因素。