目的:研究对比度增强增强(CE-boost)是否与混合迭代重建(混合IR,也被称为HIR[AIDR3D,自适应迭代剂量减少三维)和基于模型的迭代重建(MBIR[FIRST,基于正向投影模型的IR解决方案])算法可以提高腹部CT血管造影(CTA)的图像质量。
方法:这项回顾性研究包括50例接受腹部CTA的患者。使用三种不同的算法[过滤后投影(FBP),AIDR3D,首先]分开。另外进行CE-boost以产生AIDR3D-boost和FIRST-boost图像。在五个数据集(FBP,AIDR3D,首先,AIDR3D-boost,FIRST-boost).在主观分析中,根据远端动脉或门静脉分支的视觉图像质量,两名放射科医生独立排序图像(5,最佳;1,最差)。Friedman和Dunn-Bonferroni事后检验用于统计分析。
结果:与FBP相比,FIRST增强动脉和门静脉图像的噪声最低,AIDR3D,首先,和AIDR3D增强图像(均P<0.05),信噪比和CNR明显高于FBP,AIDR3D,和FIRST图像(均P<0.05)。AIDR3D增强图像显示出更低的噪声,SNR和CNR均高于FBP和AIDR3D图像(均P<0.05)。FIRST-boost图像的主观评分高于FBP,AIDR3D,和AIDR3D增强图像(均P<0.05)。
结论:后处理技术CE-boost可以改善腹部CTA图像的图像质量。与其他四个图像数据集相比,MBIR与CE-boost(FIRST-boost)图像组合具有最佳的图像质量。
OBJECTIVE: To investigate whether contrast-enhancement-boost (CE-boost) in combination with hybrid iterative reconstruction (Hybrid IR, also named HIR [AIDR 3D, adaptive iterative dose reduction three dimensional]) and model-based iterative reconstruction (MBIR [FIRST, forward projected model-based IR solution]) algorithms can improve the image quality of abdominal CT angiography (CTA).
METHODS: This retrospective study included 50 patients who underwent abdominal CTA. Both arterial and portal phases were reconstructed using three different algorithms [filtered-back projection (FBP), AIDR 3D, and FIRST] separately. CE-boost was performed additionally to generate AIDR 3D-boost and FIRST-boost images. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of the arteries and portal system were compared among the five datasets (FBP, AIDR 3D, FIRST, AIDR 3D-boost, FIRST-boost). In subjective analyses, two radiologists independently ordered images (5, best; 1, worst) based on the visual image quality of distal arterial or portal venous branches. The Friedman and the Dunn-Bonferroni post-hoc tests were used for statistical analysis.
RESULTS: FIRST-boost arterial and portal images had the lowest noise compared with FBP, AIDR 3D, FIRST, and AIDR 3D-boost images (all P < 0.05), and significantly higher SNR and CNR than FBP, AIDR 3D, and FIRST images (all P < 0.05). AIDR 3D-boost images showed lower noise, and higher SNR and CNR than FBP and AIDR 3D images (all P < 0.05). FIRST-boost images had higher subjective grading scores than FBP, AIDR 3D, and AIDR 3D-boost images (all P < 0.05).
CONCLUSIONS: The postprocessing technique CE-boost can improve the image quality of abdominal CTA images. MBIR in combination with CE-boost (FIRST-boost) images had the best image quality compared with the other four image datasets.