ISSN 1004-4140
    CN 11-3017/P

    虚拟单能量成像在活动性克罗恩病CT图像质量优化中的应用研究

    Applied Research into Virtual Monoenergetic Imaging to optimize CT image quality in Active Crohn’s Disease

    • 摘要: 目的:评估虚拟单能量成像在活动性克罗恩病中的应用价值。方法:纳入51例受试者,将增强静脉期图像分别重建成120 kVp组与45 keV组,对比分析肠壁及血管的客观参数(CT值、噪声、信噪比)及两名放射科医师独立主观评分(噪声、对比度、小结构可见性、整体质量)。结果:45 keV组显著提升组织对比度(肠壁CT值:191.3±34.3 HU vs 86.5±13.9 HU;血管CT值:293.5±67.3 HU vs. 123.9±23.8 HU),小结构可见性、整体质量均显著提升,小结构可见性最高分比例达70.6%~92.2%;120 kVp组噪声控制更优(肠壁噪声:9.2±3.7 vs. 24.6),信噪比更高(10.2 vs. 7.8);血管信噪比两组无差异(12.8±7.8 vs. 11.1±7.4)。结论:相对于噪声降低,虚拟低能量(45 keV)更能提高克罗恩病的整体图像质量,适用于微病变检出等高对比需求场景;据此提出不同场景化联合应用可优化小肠CTE个体化CT诊断应用方案。

       

      Abstract: Objective: we evaluated the clinical utility of virtual monoenergetic imaging (VMI) for assessing active Crohn’s disease. Methods: Venous-phase enhanced CT images from 51 subjects were reconstructed and assorted into conventional 120-kVp image and 45-keV VMI image groups. Objective parameters (attenuation values, image noise, signal-to-noise ratio SNR) of bowel walls and vasculature were compared. Two radiologists independently evaluated subjective image quality metrics (noise, contrast, small-structure visibility, and overall quality). Results: The 45-keV VMI group demonstrated significantly enhanced tissue contrast (bowel wall attenuation: 191.3 ± 34.3 HU vs. 86.5 ± 13.9 HU; vascular attenuation: 293.5 ± 67.3 HU vs. 123.9 ± 23.8 HU). Subjective scores for small-structure visibility and overall quality were markedly improved, with maximal visibility scores achieved in 70.6%–92.2% of cases. The 120-kVp group exhibited superior noise control (bowel wall noise: 9.2 ± 3.7 vs. 24.6) and higher SNR (10.2 vs. 78) Vascular SNR showed no significant intergroup difference (12.8 ± 7.8 vs. 111 ± 7.4). Conclusions: By contrast with noise reduction, low-energy VMI (45 keV) more effectively optimized overall image quality in Crohn’s disease evaluation, particularly in scenarios demanding high contrast (e.g., detection of subtle lesions). A combined application approach tailored to specific diagnostic requirements is proposed to refine personalized CT enterography protocols.

       

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