多源Tomosynthesis迭代算法在动态模型中的应用

Application of Algebraic Reconstruction Technique of Multi-source Tomosynthesis in Dynamic Reconstruction

提出了一种新的tomosynthesis扫描方法,并将该方法应用到动态重建场合,用于抑制运动在成像中产生的伪迹。新的方法采用多源(双源与四源)环形扫描方式和迭代重建算法对两种动态数字模型进行仿真重建。通过比较单源重建和多源重建的结果,评价多源tomosynthesis在动态重建方面的性能。结果表明多源tomosynthesis的扫描方式能够有效抑制动态重建中的伪迹,改善重建质量。本文的结果证实了多源tomosynthesis在动态重建中的有效性,对于进一步改善心脏和呼吸运动成像质量具有积极的实际意义。

To reduce the motion artifacts, a new scanning configuration is proposed for tomosynthesis in dynamic reconstruction. In this new configuration, multiple x-ray sources are uniformly distributed on the circular scanning trajectory and moving simultaneously. Numerical experiments are performed using two dynamic digital phantoms and algebraic reconstruction technique. The reconstruction images of single-source tomosynthesis and multi-source tomosynthesis are compared and evaluated. The results show that multi-source tomosynthesis could reduce artifacts effectively, thus improving image quality. The advantages of multi-source tomosynthesis in dynamic reconstruction are important to cardiac imaging and respiratory imaging.