Department of Radiology of Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, Key Laboratory of Pediatrics in Chongqing, Chongqing International Science and Technology Cooperation Center for Child Development and Critical Disorders, Chongqing, 400014, China.
Radiol Med. 2019 Jun;124(6):467-477. doi: 10.1007/s11547-018-00983-w. Epub 2019 Jan 17.
To evaluate the application of adaptive statistical iterative reconstruction (ASIR) for chest CT scans of preschool-age children.
Sixty children, ages 0 to < 1, 1 to < 3, and 3 to < 6 years, who underwent CT non-contrast-enhanced and enhanced scans were included. The non-contrast-enhanced scan sequences were performed with noise indexes (NIs) of 11, 14, and 16 for the 0 to < 1, 1 to < 3, and 3 to < 6 year age groups, respectively. Collected data were reconstructed using ASIR in increments of 10%, ranging from 0 to 100%, to generate 11 image groups. The signal-to-noise ratio, image noise, and other features of images obtained using ASIR with different weights were compared and analyzed. The best weight ranges for ASIR of chest CT scans of children at different ages within the range of 0-6 years were obtained. Enhanced scan sequence: The NI default was 9, and the data were subjected to the filtered back projection reconstruction algorithm. All other scanning parameters were the same as those used in the non-contrast-enhanced scan sequence.
In the 0 to < 1 year group, the image qualities were scored as 3 or above with ASIR weights of 50% for the lung window and 40% for the mediastinal window; in the 1 to < 3 year group, the image qualities were scored as 3 or above with ASIR weights of 60% for the lung window and 50% for the mediastinal window; in the 3 to < 6 year group, the image qualities were scored as 3 or above with ASIR weights of 70% for the lung window and 60% for the mediastinal window.
For low-dose chest CT scans of preschool-age children, application of the ASIR technique significantly improved image quality and reduced image noise. The optimum weights of image ASIR were 50%, 60%, and 70% for the lung window and 40%, 50%, and 60% for the mediastinal window for the 0 to < 1, 1 to < 3, and 3 to < 6 year groups, respectively.
评估自适应统计迭代重建（ASIR）在学龄前儿童胸部 CT 扫描中的应用。
纳入 60 例 0 至＜1 岁、1 至＜3 岁和 3 至＜6 岁的行 CT 非增强和增强扫描的儿童。0 至＜1 岁、1 至＜3 岁和 3 至＜6 岁的非增强扫描序列的噪声指数（NI）分别为 11、14 和 16。使用 ASIR 以 10%的增量（从 0 到 100%）递增重建采集的数据，以生成 11 个图像组。比较并分析了不同权重的 ASIR 重建图像的信噪比、图像噪声和其他特征。得出了 0-6 岁儿童不同年龄段的胸部 CT 扫描中 ASIR 的最佳权重范围。
NI 默认值为 9，数据采用滤波反投影重建算法。所有其他扫描参数与非增强扫描序列相同。
0 至＜1 岁组，肺窗 ASIR 权重 50%、纵隔窗 40%时图像质量评分为 3 分或以上；1 至＜3 岁组，肺窗 ASIR 权重 60%、纵隔窗 50%时图像质量评分为 3 分或以上；3 至＜6 岁组，肺窗 ASIR 权重 70%、纵隔窗 60%时图像质量评分为 3 分或以上。
对于学龄前儿童低剂量胸部 CT 扫描，应用 ASIR 技术可显著改善图像质量，降低图像噪声。0 至＜1、1 至＜3 和 3 至＜6 岁组的肺窗和纵隔窗的最佳 ASIR 图像权重分别为 50%、60%和 70%和 40%、50%和 60%。
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