基于模型的迭代重建算法优化低管电压儿童胸部CTA图像质量

发布时间：2018-07-06 16:59

本文选题：体层摄影术 + X线计算机　；参考：《中国医学影像技术》2015年02期

【摘要】：目的评价基于模型的迭代重建算法(MBIR)优化低管电压儿童胸部CTA图像质量的价值。方法收集接受胸部低管电压(80kVp)CTA的儿童患者41例,对原始数据进行MBIR、30%自适应迭代重建(ASiR)与70%滤波反射投影(FBP)混合及FBP重建,评价图像整体质量及细小血管显示能力,测量降主动脉、同层面背部肌肉和脂肪噪声值,计算降主动脉SNR和CNR。结果 MBIR图像整体质量评分和细小血管显示能力评分为均明显优于30%ASiR与70%FBP混合图像及FBP图像(P均0.05);MBIR图像中各组织噪声值明显低于30%ASiR与70%FBP混合图像和FBP图像(P均0.05),降主动脉SNR和CNR(28.30±7.85、24.61±7.52)明显高于30%ASiR与70%FBP混合图像(15.80±5.73、14.19±4.22)和FBP图像(12.06±3.66、10.59±3.53,P均0.05)。结论 MBIR用于处理儿童低管电压胸部CTA图像,图像质量明显高于ASiR及FBP图像,值得临床推广应用。
[Abstract]:Objective to evaluate the value of model-based iterative reconstruction (MBIR) in optimizing chest CTA image quality of low voltage children. Methods 41 children with low chest voltage (80kVp) CTA were collected. The original data were mixed with MBIRR 30% adaptive iterative reconstruction (ASiR) and 70% filtered reflection projection (FBP). The overall image quality and the display ability of small vessels were evaluated. The descending aorta was measured, and the SNR and CNR of the descending aorta were calculated at the same level of back muscle and fat noise. Results MBIR image overall quality score and fine vessel display ability score were significantly better than 30 ASiR and 70P mixed image and FBP image (P 0.05) the noise value of each tissue in MBIR image was significantly lower than that in 30ASiR and 70P mixed image and FBP image. As (P 0.05), the SNR and CNR of descending aorta (28.30 卤7.85 卤24.61 卤7.52) were significantly higher than those of 30ASiR and 70P (15.80 卤5.73 ~ 14.19 卤4.22) and FBP (12.06 卤3.6 卤10.59 卤3.53) (P 0.05). Conclusion MBIR can be used to process low tube voltage chest CTA images in children. The image quality of MBIR is significantly higher than that of Asir and FBP images, which is worthy of clinical application.
【作者单位】：首都医科大学附属北京儿童医院影像中心;
【基金】：首都临床特色应用研究(Z141107002514005)
【分类号】：R816.92

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