Kang Yang, Wu Rui, Wu Sen, Li Peizheng, Li Qingpei, Cao Kun, Tan Tingting, Li Yingrui, Zha Gangqiang
State Key Laboratory of Solidification Processing, and MIIT Key Laboratory of Radiation Detection Materials and Devices, Northwestern Polytechnical University, Xi'an, China.
Shenzhen Research Institute of Northwestern Polytechnical University, Shenzhen, China.
J Xray Sci Technol. 2023;31(1):153-166. doi: 10.3233/XST-221261.
In fan beam X-ray imaging applications, several X-ray images sometimes need to be stitched together into a panoramic image because of the size limitations of the detector.
This study aims to propose a novel multi-view X-ray digital imaging stitching algorithm (MVS) based on the CdZnTe photon counting linear array detectors to solve the problem of fan beam X-ray stitching deformation.
The panoramic image is generated in four steps including (1) multi-view projection data acquisition, (2) overlapping positioning, (3) weighted fusion and (4) projected pixel value calculation. Images of a globe and foot are scanned by fan beam X-rays and a CdZnTe detector. The proposed method is applied to stitch together the scanned images of the globe. Three other methods are also used for comparison. Finally, this MVS algorithm is also used in the stitching of scanned images of the foot.
Compared with the 50% stitching accuracy of other methods, the new MVS algorithm reached a stitching accuracy of 94.4%. Image distortion on the globe and feet is also eliminated and thus image quality is significantly improved.
This study proposes a new multi-view X-ray digital imaging stitching algorithm. Study results demonstrate the superiority of this new algorithm and its feasibility in practical applications.
在扇形束X射线成像应用中，由于探测器尺寸的限制，有时需要将几张X射线图像拼接成一幅全景图像。
本研究旨在提出一种基于碲锌镉光子计数线性阵列探测器的新型多视角X射线数字成像拼接算法（MVS），以解决扇形束X射线拼接变形的问题。
全景图像的生成包括四个步骤，即（1）多视角投影数据采集、（2）重叠定位、（3）加权融合和（4）投影像素值计算。用扇形束X射线和碲锌镉探测器对一个球体和一只脚进行扫描成像。将所提出的方法应用于拼接球体的扫描图像，并与其他三种方法进行比较。最后，将该MVS算法也用于脚部扫描图像的拼接。
与其他方法50%的拼接精度相比，新的MVS算法拼接精度达到了94.4%。球体和脚部图像的畸变也被消除，图像质量得到显著提高。
本研究提出了一种新的多视角X射线数字成像拼接算法。研究结果证明了该新算法的优越性及其在实际应用中的可行性。
