Image quality of iterative reconstruction in cranial CT imaging: comparison of model-based iterative reconstruction (MBIR) and adaptive statistical iterative reconstruction (ASiR)
Image quality of iterative reconstruction in cranial CT imaging: comparison of model-based iterative reconstruction (MBIR) and adaptive statistical iterative reconstruction (ASiR)
复制标题
颅脑 CT 成像迭代重建的图像质量：基于模型的迭代重建 (MBIR) 和自适应统计迭代重建 (ASiR) 的比较
DOI：
10.1007/s00330-014-3374-8
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发表时间：
2015
影响因子：
5.9
通讯作者：
Wirth S
中科院分区：
文献类型：
--
作者：
Notohamiprodjo S;Deak Z;Meurer F;Maertz F;Mueck FG;Geyer LL;Wirth S
本研究的目的是比较标准迭代重建(ASIR)和MBIR算法的颅脑CT图像质量(IQ)。方法在这项机构审查委员会(IRB)批准的研究中，100个平扫的CCT检查(120kV，50-260mAs，20 mm准直，0.984螺距)的原始数据集被重建。测量尾状核、额叶白质、前脑室角、第四脑室和脑桥的衰减值，计算信噪比(SNR)和对比噪声比(CNR)。两位对重建算法一无所知的放射科医生用5分量表(0：不可接受，1：低于平均，2：一般，3：高于平均，4：优秀)评估了2.5 mm的匿名多平面重建对不同实质结构的描述和伪影对智商的影响。结果MBIR比ASIR更有效地减少伪影(p<； 0.0 1)。MBIR的中位数描述分数为3，而ASIR的中位数为2(p<； 0.01)。MBIR组的SNR和CNR显著高于ASIR组(p<； 0.0 1)。结论MBIR组的智商参数明显高于ASIR组。由于CCT是一种经常需要的检查，使用MBIR可以大幅减少医疗诊断引起的辐射暴露。要点·基于模型的迭代重建(MBIR)有效地减少了颅脑CT中的伪影。·MBIR重建图像的图像质量评分明显更高。·基于模型的迭代重建可能允许减少剂量的诊断性检查方案。
ObjectivesThe purpose of this study was to compare cranial CT (CCT) image quality (IQ) of the MBIR algorithm with standard iterative reconstruction (ASiR).MethodsIn this institutional review board (IRB)-approved study, raw data sets of 100 unenhanced CCT examinations (120 kV, 50–260 mAs, 20 mm collimation, 0.984 pitch) were reconstructed with both ASiR and MBIR. Signal-to-noise (SNR) and contrast-to-noise (CNR) were calculated from attenuation values measured in caudate nucleus, frontal white matter, anterior ventricle horn, fourth ventricle, and pons. Two radiologists, who were blinded to the reconstruction algorithms, evaluated anonymized multiplanar reformations of 2.5 mm with respect to depiction of different parenchymal structures and impact of artefacts on IQ with a five-point scale (0: unacceptable, 1: less than average, 2: average, 3: above average, 4: excellent).ResultsMBIR decreased artefacts more effectively than ASiR (p< 0.01). The median depiction score for MBIR was 3, whereas the median value for ASiR was 2 (p< 0.01). SNR and CNR were significantly higher in MBIR than ASiR (p< 0.01).ConclusionsMBIR showed significant improvement of IQ parameters compared to ASiR. As CCT is an examination that is frequently required, the use of MBIR may allow for substantial reduction of radiation exposure caused by medical diagnostics.Key Points•Model-Based iterative reconstruction (MBIR) effectively decreased artefacts in cranial CT.•MBIR reconstructed images were rated with significantly higher scores for image quality.•Model-Based iterative reconstruction may allow reduced-dose diagnostic examination protocols.
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影响因子：
4.7
作者：
Vardhanabhuti, Varut;Ilyas, Sumaira;Gutteridge, Catherine;Freeman, Simon J;Roobottom, Carl A
通讯作者：
Roobottom, Carl A
影响因子：
5.9
作者：
Wintersperger, B;Jacobs, T;Becker, C
通讯作者：
Becker, C
TU-A-201B-03：使用基于模型的迭代重建 (MBIR) 技术进行计算机断层扫描可减少剂量并提高图像质量
DOI：
--
发表时间：
2010
期刊：
影响因子：
--
作者：
G. Yadava;S. Kulkarni;Z. R. Colon;Jean;J. Hsieh
通讯作者：
J. Hsieh
影响因子：
5.9
作者：
Choo, Ji Yung;Goo, Jin Mo;Shim, Mi-Suk
通讯作者：
Shim, Mi-Suk
影响因子：
6.2
作者：
Berdahl, Carl T.;Vermeulen, Marian J.;Schull, Michael J.
通讯作者：
Schull, Michael J.