Image quality assessment of an iterative reconstruction algorithm applied to abdominal CT imaging
Image quality assessment of an iterative reconstruction algorithm applied to abdominal CT imaging
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DOI：
10.1016/j.ejmp.2014.02.005
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发表时间：
2014-06-01
影响因子：
3.4
通讯作者：
Yamashita, Yasuyuki
中科院分区：
文献类型：
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作者：
Funama, Yoshinori;Taguchi, Katsuyuki;Yamashita, Yasuyuki
目的：比较迭代重建(IMR)和滤波反投影法(FBP)重建猪全肝图像的噪声和准确性。材料和方法：用非增强猪肝模拟人肝，经100次采集，得到FBP平均值作为真实数据。对于FBP和三个水平的IMR(L1、L2和L3)，计算100个图像采集上的像素值的平均值和标准差(“扫描间SD”)。结果：FBP、IMR-L1、IMR-L2和IMR-L3对猪肝实质的空间标准偏差分别为9.92、4.37、3.63和2.30个Hounsfield单位。单一IMR图像对微小模糊特征的检测效果优于单一FBP图像。IMR-L3图像的扫描间SD值在肝脏边缘比肝脏实质大53%；在FBP图像上仅大10%。对归一化NPS的评估表明，IMR图像上的噪声主要由低频成分组成。结论：IMR图像产生了与FBP图像相同的结构信息，并保持了图像的准确性。在3级IMR图像上，图像噪声的抑制比在其他级别的IMR图像上和在FBP图像上更强。(C)2014年，由爱思唯尔有限公司代表意大利医学协会出版。
Purpose: To compare the noise and accuracy on images of the whole porcine liver acquired with iterative reconstruction (IMR, Philips Healthcare, Cleveland, OH, USA) and filtered back projection (FBP) methods. Materials and methods: We used non-enhanced porcine liver to simulate the human liver and acquired it 100 times to obtain the average FBP value as the ground-truth. The mean and the standard deviation ("inter-scan SD") of the pixel values on the 100 image acquisitions were calculated for FBP and for three levels of IMR (L1, L2, and L3). We also calculated the noise power spectrum (NPS) and the normalized NPS for the 100 image acquisitions.Results: The spatial SD for the porcine liver parenchyma on these slices was 9.92, 4.37, 3.63, and 2.30 Hounsfield units with FBP, IMR-L1, IMR-L2, and IMR-L3, respectively. The detectability of small faint features was better on single IMR than single FBP images. The inter-scan SD value for IMR-L3 images was 53% larger at the liver edges than at the liver parenchyma; it was only 10% larger on FBP images. Assessment of the normalized NPS showed that the noise on IMR images was comprised primarily of low-frequency components.Conclusion: IMR images yield the same structure informations as FBP images and image accuracy is maintained. On level 3 IMR images the image noise is more strongly suppressed than on IMR images of the other levels and on FBP images. (C) 2014 Published by Elsevier Ltd on behalf of Associazione Italiana di Fisica Medica.