Research on Image Quality Improvement of 80 kV Head Perfusion CT Based on
Brain Time Stack Image Fusion Technology
WANG Hong, LI Ling, LU Yao, HE Yi, ZHANG Chen, CHEN Juan
Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric,
Chinese Academy of Medical Sciences, Beijing 100730, China
Abstract:Objective To explore the application of Brain Time Stack image fusion technology in improving the image quality of brain
CT perfusion with 80 kV tube voltage. Methods Data of 31 patients who underwent brain perfusion in the Department of Radiology
of Beijing hospital from July to September 2021 were analyzed retrospectively. According to the time density curve obtained by brain
CT perfusion, 0.5 mm images of three phases were selected for brain time stack post-processing, and the image data were divided into
four groups: group A (arterial phase), group B (arterial phase combined with pre-arterial phase), group C (arterial phase combined
with post-arterial phase), and group D (arterial phase combined with pre-arterial phase and post-arterial phase). The CT value,
standard deviation (SD), signal to noise ratio (SNR) and contrast to noise ratio (CNR) of white matter and gray matter of frontal lobe,
lateral ventricle, medulla oblongata and cerebellum of the four groups were compared by t-test. In addition, two doctors scored on the
image quality of the four groups, and the statistical differences were compared by Mann-Whitney U test. Results The SD, SNR and
CNR values of frontal white matter, gray matter, lateral ventricle, medulla bulbar and cerebellum of the four groups were statistically
different (P<0.001), among which group D had the lowest noise and the highest SNR and CNR. There was no significant difference
in CT values between the 4 groups (P>0.05). In addition, the subjective scores of the four groups were statistically different, and
group D was significantly better than group A, B and C (P<0.05). The subjective score consistency between the two doctors was
good, and the kappa value was 0.817 (P<0.001). Conclusion Brain Time Stack image fusion technology can effectively reduce
image noise and significantly improve image quality.
王宏,李玲,逯瑶,何祎,张晨,陈涓. 基于Brain Time Stack图像融合技术对80 kV头部灌注CT图像质量的改善研究[J]. 中国医疗设备, 2022, 37(8): 57-61.
WANG Hong, LI Ling, LU Yao, HE Yi, ZHANG Chen, CHEN Juan. Research on Image Quality Improvement of 80 kV Head Perfusion CT Based on
Brain Time Stack Image Fusion Technology. China Medical Devices, 2022, 37(8): 57-61.