An efficient scatter correction algorithm based on pre-reconstructed images of contrast enhancement and sparse-viewed Monte Carlo simulation

作者：Yan Hao^*; Mou Xuanqin

来源：Conference on Medical Imaging 2011 - Physics of Medical Imaging, 2011-02-13 to 2011-02-17.

DOI：10.1117/12.877551

• cone-beam
• CT
• scatter correction
• Monte carlo (MC)
• contrast

X-ray scatter is a major degrading factor in x-ray cone beam (CB) CT imaging. In the scatter corrections by using Monte Carlo (MC) simulation, the initial MC modeling is not accurate based on the scatter-polluted volume images, thus the correction has to be performed iteratively, which is one of the reasons that MC based correction is computational demanding. In this paper, we found a relationship that the ratio of I(S) (scatter) to I(P+S) (primary plus scatter) can be approximated by the weighted data in Radon space. On this basis, we develop a strategy called Projection Contrast Enhancement based Pre-Correction (PCEPC). PCEPC is efficient, achieving a scatter pre-correction with enhanced image Quality (Q) of similar to 0.7 (Q=1 for scatter-free images; Q=0 for scatter-contaminated images without correction). By using the results of PCEPC, more accurate MC modeling on the scanned object is feasible with less iterations or even in a non-iterative way, namely as the PCEPC-MC method. An exemplary non-iterative PCEPC-MC is implemented, in which the scatter fluence of eighteen views equally distributed over 2 pi is simulated by MC toolkit EGSnrc, enhancing the Q further to similar to 0.8.

• 出版日期2011
• 单位西安交通大学