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首页> 外文期刊>Acta Radiologica Open >Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT
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Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT

机译：基于模型的迭代重建算法对减剂量胸部CT多平面重建图像质量的影响

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Model-based iterative reconstruction (MBIR) reduces image noise and improves image quality (IQ) but its influence on post-processing tools including maximal intensity projection (MIP) and minimal intensity projection (mIP) remains unknown. To evaluate the influence on IQ of MBIR on native, mIP, MIP axial and coronal reformats of reduced dose computed tomography (RD-CT) chest acquisition. Raw data of 50 patients, who underwent a standard dose CT (SD-CT) and a follow-up RD-CT with a CT dose index (CTDI) of 2–3?mGy, were reconstructed by MBIR and FBP. Native slices, 4-mm-thick MIP, and 3-mm-thick mIP axial and coronal reformats were generated. The relative IQ, subjective IQ, image noise, and number of artifacts were determined in order to compare different reconstructions of RD-CT with reference SD-CT. The lowest noise was observed with MBIR. RD-CT reconstructed by MBIR exhibited the best relative and subjective IQ on coronal view regardless of the post-processing tool. MBIR generated the lowest rate of artefacts on coronal mIP/MIP reformats and the highest one on axial reformats, mainly represented by distortions and stairsteps artifacts. The MBIR algorithm reduces image noise but generates more artifacts than FBP on axial mIP and MIP reformats of RD-CT. Conversely, it significantly improves IQ on coronal views, without increasing artifacts, regardless of the post-processing technique.
机译：基于模型的迭代重建（MBIR）可以降低图像噪声并提高图像质量（IQ），但其对包括最大强度投影（MIP）和最小强度投影（mIP）的后处理工具的影响仍然未知。为了评估MBIR智商对减少剂量计算机断层扫描（RD-CT）胸部采集的原生，mIP，MIP轴向和冠状位格式化的影响。通过MBIR和FBP重建了50例接受标准剂量CT（SD-CT）和随访RD-CT且CT剂量指数（CTDI）为2–3？mGy的患者的原始数据。生成原始切片，4毫米厚的MIP和3毫米厚的mIP轴向和冠状位重新格式化。确定了相对智商，主观智商，图像噪声和伪影数量，以便将RD-CT与参考SD-CT的不同重建进行比较。使用MBIR观察到最低的噪声。无论采用何种后处理工具，MBIR重建的RD-CT在冠状视点上均表现出最佳的相对和主观智商。 MBIR在冠状mIP / MIP重新格式化中产生的伪像率最低，而在轴向重新格式化中产生的伪像率最高，主要表现为变形和阶梯状伪影。 MBIR算法可降低图像噪声，但在RD-CT的轴向mIP和MIP格式上比FBP产生更多的伪像。相反，无论后处理技术如何，它都可以显着提高冠状视图的智商，而不会增加伪影。

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