Contrast enhancement boost improves the image quality of CT angiography derived from 80-kVp cerebral CT perfusion data

对比度增强技术可提高源自 80 kVp 脑部 CT 灌注数据的 CT 血管造影图像质量。

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Abstract

RATIONALE AND OBJECTIVE: To investigate the impact of the contrast enhancement boost (CE-boost) technique on the image quality of CT angiography (CTA) derived from 80-kVp cerebral CT perfusion (CTP) data, and to compare it with conventional CTA(peak) as well as other currently employed methods for enhancing CTA images, such as CTA(tMIP) and CTA(tAve) extracted from CTP. MATERIALS AND METHODS: The data of forty-seven patients who underwent CTP at 80 kVp were retrospectively collected. Four sets of images: CTA(peak), CTA(tMIP), CTA(tAve), and CE-boost images. The CTA(peak) image represents the arterial phase at its peak value, captured as a single time point. CTA(tMIP) and CTA(tAve) are 4D CTA images that provide maximum density projection and average images from the three most prominent time points. CE-boost is a postprocessing technique used to enhance contrast in the arterial phase at its peak value. We compared the average CT value, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of the internal carotid artery (ICA) and basilar artery (BA) among the four groups. Image quality was evaluated using a 5-point scale. RESULTS: The CE-boost demonstrated and CNR in the ICA and BA (all p < 0.001). Compared with the other three CTA reconstructed images, the CE-boost images had the best subjective image quality, with the highest scores of 4.77 ± 0.43 and 4.87 ± 0.34 for each reader (all p < 0.001). CONCLUSION: Compared with other currently used techniques,CE-boost enhances the image quality of CTA derived from 80-kVp CTP data, leading to improved visualization of intracranial arteries.

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