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首页> 外文期刊>Investigative radiology >Assessment of a model-based, iterative reconstruction algorithm (MBIR) regarding image quality and dose reduction in liver computed tomography
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Assessment of a model-based, iterative reconstruction algorithm (MBIR) regarding image quality and dose reduction in liver computed tomography

机译:评估基于模型的迭代重建算法(MBIR),涉及肝脏计算机断层扫描中的图像质量和剂量减少

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Objectives: The purpose of this study was to assess the image quality of half-dose (HD) liver computed tomography (CT) using a model-based iterative reconstruction algorithm (MBIR) compared with reference dose (RD) using filtered back projection (FBP) and the HD CT images using FBP and adaptive statistical iterative reconstruction (ASIR). Materials and Methods: A total of 103 patients suspected of having liver metastases underwent liver CT including HD portal venous phase imaging. Among these patients, 73 had undergone RD liver CT reconstructed using FBP, and the HD portal phase CT scans were separately reconstructed using FBP and MBIR. For the other 30 patients, the HD CT images were reconstructed using FBP, ASIR, and MBIR. The CT attenuation coefficients and the mean image noise of various sites, including the liver, the aorta, the main portal vein (MPV), and the subcutaneous fat, weremeasured, and the contrast-to-noise ratios (CNRs) of the metastatic lesion to the liver and theMPV to the liver were calculated. Two radiologists reviewed each image set with regard to image noise, image quality, lesion conspicuity, and diagnostic acceptability. Results: Compared with RD CT, there was a 46.1% decrease in CT dose index volume with HD CT. Image noise was significantly lower in the HD images reconstructed with MBIR than in both the HD FBP images and the RD FBP images(P < 0.001). Compared with the RD FBP and HD FBP images, the CNRs of the metastatic lesion to the liver and the MPV to the liver were higher in the HD MBIR images(P < 0.001). Despite the presence of the unique whirling artifacts of the MBIR images, the HD MBIR images were of good to excellent quality and were not inferior to RD FBP images regarding the lesion conspicuity, the image quality, and the diagnostic acceptability (P > 0.05). Half-dose MBIR also showed less image noise, higher CNRs, and superior image quality compared with HD ASIR(P < 0.001). Conclusions: The HDMBIR images showed less noise, higher CNR, and better image quality than the HDASIR andHDFBP images did; they also provided less image noise, higher CNR, and similar image quality compared with those of RD FBP images.
机译:目的:本研究的目的是使用基于模型的迭代重建算法(MBIR)评估半剂量(HD)肝脏计算机断层扫描(CT)的图像质量,并使用滤波后向投影(FBP)来比较参考剂量(RD)的图像质量)和使用FBP和自适应统计迭代重建(ASIR)的高清CT图像。材料和方法:总共103例怀疑有肝转移的患者接受了包括高位门静脉期成像在内的肝脏CT检查。在这些患者中,有73例接受了FBP重建的RD肝CT检查,并分别使用FBP和MBIR重建了HD门静脉期CT扫描。对于其他30例患者,使用FBP,ASIR和MBIR重建HD CT图像。测量包括肝脏,主动脉,主门静脉(MPV)和皮下脂肪在内的各个部位的CT衰减系数和平均图像噪声,并测量转移性病变的对比噪声比(CNR)计算出肝脏的MPV和肝脏的MPV。两名放射科医生检查了每个图像集的图像噪声,图像质量,病变明显程度和诊断可接受性。结果:与RD CT相比,HD CT的CT剂量指标量减少了46.1%。用MBIR重建的HD图像中的图像噪声显着低于HD FBP图像和RD FBP图像(P <0.001)。与RD FBP和HD FBP图像相比,HD MBIR图像中肝转移灶和CNV的CNR更高(P <0.001)。尽管MBIR图像存在独特的旋转伪影,但HD MBIR图像的质量好到极好,并且在病变显着性,图像质量和诊断可接受性方面均不劣于RD FBP图像(P> 0.05)。与HD ASIR相比,半剂量MBIR还显示出更少的图像噪声,更高的CNR和更高的图像质量(P <0.001)。结论:与HDASIR和HDFBP图像相比,HDMBIR图像显示出更少的噪声,更高的CNR和更好的图像质量;与RD FBP图像相比,它们还提供了更少的图像噪声,更高的CNR和相似的图像质量。

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