Removal of Metal Artifacts by Energy Spectrum CT Based on a Phantom
HU Zhi1, YU Xiao’e1, KANG Lili1, CHEN Hongwen2a, YANG Shaozhou2a, WANG Fan2b
1.School of Biomedical Engineering, Southern Medical University, Guangzhou Guangdong 510515, China; 2.a.Department of
Equipment; b.Health Management Center, Nanfang Hospital, Southern Medical University, Guangzhou Guangdong 510515, China
Abstract：Objective To discuss the ability of removing the metal artifact of spectrum CT by using GE 750HD CT to scan the
phantom. Methods Scanning experiments were divided into three groups: the first group was performed a tube voltage of 120 kVp
spiral scan, the most commonly used in the traditional clinical; the second groups was performed monoenergetic (MONO) scanning
energy spectral acquisition mode; in the third group, 6 groups of single energy image data that reconstructed by the GSI Viewer
was combined with multi artifact reduction system (MARS) technology and reconstructed. The artifact image artifact was analyzed
objectively by using index AI. Results Under the condition of MONO & MARS, the AI value of the image was lower than that of
the other two modes, and the MONO image quality was better than that of the 120 kVp mode image. The image noise of MONO &
MARS was obviously lower than that of 120 kVp mode and MONO image. Conclusion Spectral imaging technology is a good way
to locate metal artifacts. It would be better to add some algorithms for removing metal artifacts, such as MARS.
胡志1，余晓锷1，康立丽1，陈宏文2a，杨绍洲2a，王凡2b. 基于一种体模对能谱CT去除金属伪影的研究[J]. 中国医疗设备, 2018, 33(3): 40-44.
HU Zhi1, YU Xiao’e1, KANG Lili1, CHEN Hongwen2a, YANG Shaozhou2a, WANG Fan2b. Removal of Metal Artifacts by Energy Spectrum CT Based on a Phantom. China Medical Devices, 2018, 33(3): 40-44.
