GUO Xianzhong,SONG Haolan,HE Shenping, et al. Application of raw image superposition processing technique in angiography of brain CT perfusion[J]. JOURNAL OF WEZHOU MEDICAL UNIVERSITY, 2022, 52(6): 486-489,493.
Abstract：Objective: To evaluate the application of raw image superposition technique in CT perfusion (CTP) angiography. Methods: A total of 253 patients with chronic ischemic stroke who underwent CTP examination in the First Affiliated Hospital of Wenzhou Medical University from September 2019 to June 2021 were selected. Continuous dynamic enhanced sequence images were obtained by CTP examination from 22 groups, of which two groups were randomly selected as group A and group B, and two groups were superposed to obtain a new group of images as group C. CT values of internal carotid artery and adjacent temporal lobe,Std values of the three groups of images before and after superposition were measured respectively. The above operations were repeated for images of 253 patients, and the contrast to noise ratio (CNR) of the three groups of images of each patient was obtained by calculation. Results: The subjective scores of group C were higher than those of group A and group B before superposition, with significant difference (P<0.05). Moreover, the vascular display of group C was smoother and clearer, and the terminal vascular branch could also be clearly displayed, meeting the requirements of clinical diagnosis. Among them, the subjective scores of group C images were similar to those of cerebral arteriography images in some patients, with no statistical significance (P>0.05). The CNR of group C was higher than that of group A and group B, showing statistical difference (P<0.01). Conclusion: A new set of CTA images superimposed by Add/Sub can improve the clarity of intracranial vascular display and the
image quality of CTA, achieving the image effect similar to that of cerebral arteriography, which can shorten the selecting time to observe the intracranial vessels and the possible misdiagnosis rate caused by human factors.
