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Raw data-based iterative reconstruction in body CTA: evaluation of radiation dose saving potential.

机译:人体CTA中基于原始数据的迭代重建:评估节省辐射剂量的潜力。

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摘要

OBJECTIVE: To evaluate prospectively, in patients undergoing body CTA, the radiation dose saving potential of raw data-based iterative reconstruction as compared to filtered back projection (FBP). METHODS: Twenty-five patients underwent thoraco-abdominal CTA with 128-slice dual-source CT, operating both tubes at 120 kV. Full-dose (FD) images were reconstructed with FBP and were compared to half-dose (HD) images with FBP and HD-images with sinogram-affirmed iterative reconstruction (SAFIRE), both reconstructed using data from only one tube-detector-system. Image quality and sharpness of the aortic contour were assessed. Vessel attenuation and noise were measured, contrast-to-noise-ratio was calculated. RESULTS: Noise as image quality deteriorating artefact occurred in 24/25 (96%) HD-FBP but not in FD-FBP and HD-raw data-based iterative reconstruction datasets (p < 0.001). Other artefacts occurred with similar prevalence among the datasets. Sharpness of the aortic contour was higher for FD-FBP and HD-raw data-based iterative reconstruction as compared to HD-FBP (p < 0.001). Aortoiliac attenuation was similar among all datasets (p > 0.05). Lowest noise was found for HD-raw data-based iterative reconstruction (7.23HU), being 9.4% lower than that in FD-FBP (7.98HU, p < 0.05) and 30.8% lower than in HD-FBP images (10.44HU, p < 0.001). Contrast-to-noise-ratio was lower in HD-FBP (p < 0.001) and higher in HD-raw data-based iterative reconstruction (p < 0.001) as compared to FD-FBP. CONCLUSION: Intra-individual comparisons of image quality of body CTA suggest that raw data-based iterative reconstruction allows for dose reduction >50% while maintaining image quality. Key Points * Raw data-based iterative reconstruction reduces image noise and improves image quality as compared to filtered back projection * At a similar radiation dose, raw data-based iterative reconstruction improves the sharpness of vessel contours * In body CTA a dose reduction of >50% might be possible when using raw data-based iterative reconstructions, while image quality can be maintained.
机译:目的:为了进行前瞻性评估,在进行身体CTA的患者中,与过滤后向投影(FBP)相比,基于原始数据的迭代重建可节省辐射剂量。方法:25例患者接受了128层双源CT的胸腹CTA检查,两管均在120 kV下操作。使用FBP重建全剂量(FD)图像,并将其与使用FBP的半剂量(HD)图像和采用正弦图确认的迭代重建(SAFIRE)的HD图像进行比较,两者均仅使用来自一个管检测器系统的数据进行重建。评估图像质量和主动脉轮廓的清晰度。测量血管衰减和噪声,计算对比度与噪声比。结果:24/25(96%)HD-FBP中出现了噪声,因为图像质量恶化,伪影出现在FD-FBP和基于HD-raw数据的迭代重建数据集中(p <0.001)。在数据集中,其他文物的发生率相似。与HD-FBP相比,FD-FBP和基于HD-raw数据的迭代重建的主动脉轮廓的清晰度更高(p <0.001)。所有数据集中的主动脉衰减相似(p> 0.05)。对于基于HD原始数据的迭代重建(7.23HU),发现的噪声最低,比FD-FBP(7.98HU,p <0.05)低9.4%,比HD-FBP图像(10.44HU,30.8%)低30.8%。 p <0.001)。与FD-FBP相比,HD-FBP的对比度-噪声比较低(p <0.001),而基于HD-raw数据的迭代重建则较高(p <0.001)。结论:人体CTA图像质量的内部比较表明,基于原始数据的迭代重建可在保持图像质量的同时将剂量减少> 50%。关键点*与过滤后的反投影相比,基于原始数据的迭代重建可降低图像噪声并提高图像质量*在相似的辐射剂量下,基于原始数据的迭代重建可改善血管轮廓的清晰度*在人体CTA中,剂量减少>使用基于原始数据的迭代重建时,可以保持50%的图像质量。

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