康承欣,李王佳,付彬洁,等.能谱纯化技术优化胸部超低剂量CT参数的研究[J].中华放射医学与防护杂志,2025,45(4):356-361.Kang Chengxin,Li Wangjia,Fu Binjie,et al.Parameter optimization for ultra-low dose computed tomography of the chest using spectral purification technology[J].Chin J Radiol Med Prot,2025,45(4):356-361 |
能谱纯化技术优化胸部超低剂量CT参数的研究 |
Parameter optimization for ultra-low dose computed tomography of the chest using spectral purification technology |
投稿时间:2024-05-30 |
DOI:10.3760/cma.j.cn112271-20240530-00204 |
中文关键词: 超低剂量X射线计算机体层成像 肺结节 辐射剂量 体模 |
英文关键词:Ultra-low dose computed tomography Pulmonary nodule Radiation dose Phantom |
基金项目:重庆市技术创新与应用发展专项重点项目(CSTC2021jscx-gksb-N0030);重庆市科卫联合医学科研项目(2022ZDXM006) |
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中文摘要: |
目的 使用能谱纯化技术优化胸部超低剂量CT(ULDCT)的扫描参数,评估其在降低辐射剂量的同时是否能够保证图像质量。方法 采用置入模拟肺结节的胸部体模,进行胸部低剂量CT(LDCT)和使用能谱纯化技术的ULDCT扫描。LDCT的参考管电流量为25 mAs,螺距1.0。ULDCT根据参考管电流量分为50、100、150和200 mAs(ULDCT1~4),螺距1.5。其余参数一致。根据剂量报告,记录容积CT剂量指数和剂量长度乘积,并计算有效剂量。客观图像质量评价指标包括图像噪声、信噪比(SNR)和对比噪声比(CNR)。主观图像质量以LDCT图像为参考,采用4分制对ULDCT图像进行评分。结果 参考管电流量为200 mAs的ULDCT4较LDCT的有效剂量更低(t = -17.30,P < 0.001)。客观图像质量表明,4组ULDCT的噪声均大于LDCT(t = 21.96、10.56、3.15、3.14,P <0.05)。主动脉弓的SNR和CNR在ULDCT4中均较LDCT更高(t = 3.55、71.96,P < 0.05),肺结节的SNR在ULDCT4中与LDCT相当(P>0.05),CNR则较LDCT更高(t = 0.79,P <0.001)。主观图像质量表明,ULDCT4的主观图像质量较LDCT更好,其噪声得分为3.80±0.46,对比度和锐利度得分为3.70±0.46,肺结节的显示得分为3.37±0.66。结论 使用能谱纯化技术的ULDCT(200 mAs)在显著降低辐射剂量的同时,图像质量较LDCT更好,具有较大临床应用潜力,有望替代LDCT用于早期肺癌筛查。 |
英文摘要: |
Objective To optimize the scan parameters for ultra-low dose computed tomography (ULDCT) of the chest using spectral purification technology, and assess the feasibility of maintaining image quality while reducing radiation dosage. Methods An anthropomorphic chest phantom embedded with simulated pulmonary nodules was utilized for low-dose computed tomography(LDCT) and ULDCT scans. LDCT was conducted using a reference tube current of 25 mAs and a pitch of 1.0. ULDCT incorporating spectral purification technology was conducted using four reference tube currents, i.e., 50, 100, 150, and 200 mAs (labeled ULDCT1-4), and a pitch of 1.5. Other parameters were consistent. The volume CT dose index and the dose-length product were extracted from the dose reports, and then the effective doses were calculated. The objective image quality was assessed using metrics including image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). The subjective image quality of ULDCT images was assessed on a four-point scale with LDCT images as reference. Results The ULDCT4 at a reference tube current of 200 mAs showed a lower effective dose compared to LDCT (t = -17.30,P < 0.001). The objective image quality assessments indicated that noise levels in four ULDCT groups were higher than those in LDCT (t = 21.96, 10.56, 3.15, 3.14,P < 0.05). Notably, the SNR and CNR for the aortic arch were higher in ULDCT4 compared to LDCT (t = 3.55, 71.96,P < 0.05). The SNR of pulmonary nodules in ULDCT4 was comparable to that in LDCT (P > 0.05), but the CNR was higher (t = 0.79,P < 0.001). Subjective image quality assessments reveal that the image quality of ULDCT4 was higher than that of LDCT, with scores of 3.80±0.46 for noise, 3.70±0.46 for contrast and sharpness, and 3.37±0.66 for pulmonary nodules. Conclusions ULDCT (200 mAs) using spectral purification technology can yield higher image quality than LDCT while substantially reducing the radiation dose, thus demonstrating substantial clinical potential and the promise of replacing LDCT in early lung cancer screening. |
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