School of Physics, Beihang University, Beijing 102206, People's Republic of China.
Hangzhou International Innovation Institute, Beihang University, Hangzhou 311115, People's Republic of China.
Phys Med Biol. 2024 May 8;69(10). doi: 10.1088/1361-6560/ad40fa.
. Beam hardening (BH) artifacts in computed tomography (CT) images originate from the polychromatic nature of x-ray photons. In a CT system with a bowtie filter, residual BH artifacts remain when polynomial fits are used. These artifacts lead to worse visuals, reduced contrast, and inaccurate CT numbers. This work proposes a pixel-by-pixel correction (PPC) method to reduce the residual BH artifacts caused by a bowtie filter.. The energy spectrum for each pixel at the detector after the photons pass through the bowtie filter was calculated. Then, the spectrum was filtered through a series of water slabs with different thicknesses. The polychromatic projection corresponding to the thickness of the water slab for each detector pixel could be obtained. Next, we carried out a water slab experiment with a mono energy= 69 keV to get the monochromatic projection. The polychromatic and monochromatic projections were then fitted with a 2nd-order polynomial. The proposed method was evaluated on digital phantoms in a virtual CT system and phantoms in a real CT machine.. In the case of a virtual CT system, the standard deviation of the line profile was reduced by 23.8%, 37.3%, and 14.3%, respectively, in the water phantom with different shapes. The difference of the linear attenuation coefficients (LAC) in the central and peripheral areas of an image was reduced from 0.010 to 0.003cm-1and 0.007cm-1to 0 in the biological tissue phantom and human phantom, respectively. The method was also validated using CT projection data obtained from Activion16 (Canon Medical Systems, Japan). The difference in the LAC in the central and peripheral areas can be reduced by a factor of two.. The proposed PPC method can successfully remove the cupping artifacts in both virtual and authentic CT images. The scanned object's shapes and materials do not affect the technique.
. 束流硬化(BH)伪影源自于 X 射线的多色性质。在带有蝶形滤波器的 CT 系统中,使用多项式拟合时仍会残留 BH 伪影。这些伪影会导致图像视觉效果变差、对比度降低和 CT 值不准确。本工作提出了一种逐像素校正(PPC)方法,以减少蝶形滤波器引起的残余 BH 伪影。. 计算了光子穿过蝶形滤波器后探测器上每个像素的能量谱。然后,通过一系列不同厚度的水层对光谱进行滤波。对于每个探测器像素,都可以获得对应水层厚度的多色投影。接下来,我们使用单能=69keV 进行水层实验以获取单色投影。然后,用二阶多项式对多色和单色投影进行拟合。在虚拟 CT 系统中的数字体模和真实 CT 机中的体模上对提出的方法进行了评估。. 在虚拟 CT 系统中,对于不同形状的水模体,线轮廓的标准偏差分别降低了 23.8%、37.3%和 14.3%。图像中心和外围区域的线性衰减系数(LAC)差值分别从 0.010cm-1 降低到 0.003cm-1 和从 0.007cm-1 降低到 0,在生物组织体模和人体体模中分别。该方法还使用从 Activion16(佳能医疗系统,日本)获得的 CT 投影数据进行了验证。中心和外围区域的 LAC 差值可以降低两倍。. 所提出的 PPC 方法可以成功去除虚拟和真实 CT 图像中的杯状伪影。扫描物体的形状和材料不会影响该技术。