PDF(Pubmed)
Abstract：
UNASSIGNED: The commonly used methods for removing metal-induced beam hardening artifacts often rely on the use of high energy photons with either high tube voltage or high energy virtual monoenergetic images in dual-energy computed tomography (CT), the radiation dose was usually relatively high in order to generate adequate signals. This retrospective study is designed to evaluate the application of a metal artifact reduction (MAR) algorithm in reducing pedicle screw metal-caused beam hardening artifacts in post-surgery pediatric low radiation dose spine CT images.
UNASSIGNED: Seventy-seven children (3-15 years) who had undergone a low dose CT with 140 or 100 kV were enrolled. The radiation dose was 1.40 mGy for the 3-8 years old and 2.61 mGy for 9-15 years old children. There were 116 pedicle screws evaluated. The raw data were reconstructed with adaptive statistical iterative reconstruction-V (ASIR-V) at 50% strength, ASIR-V with MAR (AV-MAR), deep learning image reconstruction (DLIR) at high strength and DLIR with MAR (DL-MAR). The image quality concerning pedicle screws was evaluated objectively in terms of the length of beam-hardening artifact (LHA) and artifact index (AI), and subjectively using a 4-point scale (4 points: best, 3 points: acceptable).
UNASSIGNED: Both AV-MAR and DL-MAR significantly reduced metal-induced beam hardening artifacts with smaller LHA (15.76±10.12 mm, a reduction of 57.24% and 15.66±10.49 mm, a reduction of 57.40%, respectively), and AI value (62.50±33.51, a reduction of 64.65% and 61.03±32.61, a reduction of 65.01%, respectively) compared to ASIR-V and DLIR (all P<0.01), The subjective image quality scores concerning the screws were 3.37±0.49 and 3.47±0.50 with AV-MAR and DL-MAR, respectively, higher than the respective value of 1.73±0.44 and 1.76±0.43 without MAR (all P<0.01).
UNASSIGNED: MAR significantly reduces the low-density artifacts caused by metal screws in post-surgery pediatric low-dose spine CT images, across different tube voltages, radiation dose levels and reconstruction algorithms. Combining DL-MAR further improves the overall image quality under low radiation dose conditions.
UNASSIGNED: Seventy-seven children (3-15 years) who had undergone a low dose CT with 140 or 100 kV were enrolled. The radiation dose was 1.40 mGy for the 3-8 years old and 2.61 mGy for 9-15 years old children. There were 116 pedicle screws evaluated. The raw data were reconstructed with adaptive statistical iterative reconstruction-V (ASIR-V) at 50% strength, ASIR-V with MAR (AV-MAR), deep learning image reconstruction (DLIR) at high strength and DLIR with MAR (DL-MAR). The image quality concerning pedicle screws was evaluated objectively in terms of the length of beam-hardening artifact (LHA) and artifact index (AI), and subjectively using a 4-point scale (4 points: best, 3 points: acceptable).
UNASSIGNED: Both AV-MAR and DL-MAR significantly reduced metal-induced beam hardening artifacts with smaller LHA (15.76±10.12 mm, a reduction of 57.24% and 15.66±10.49 mm, a reduction of 57.40%, respectively), and AI value (62.50±33.51, a reduction of 64.65% and 61.03±32.61, a reduction of 65.01%, respectively) compared to ASIR-V and DLIR (all P<0.01), The subjective image quality scores concerning the screws were 3.37±0.49 and 3.47±0.50 with AV-MAR and DL-MAR, respectively, higher than the respective value of 1.73±0.44 and 1.76±0.43 without MAR (all P<0.01).
UNASSIGNED: MAR significantly reduces the low-density artifacts caused by metal screws in post-surgery pediatric low-dose spine CT images, across different tube voltages, radiation dose levels and reconstruction algorithms. Combining DL-MAR further improves the overall image quality under low radiation dose conditions.
摘要：
■去除金属引起的射束硬化伪影的常用方法通常依赖于在双能量计算机断层扫描（CT）中使用具有高管电压或高能量虚拟单能量图像的高能光子，辐射剂量通常相对较高，以产生足够的信号。这项回顾性研究旨在评估金属伪影减少（MAR）算法在减少术后小儿低辐射剂量脊柱CT图像中椎弓根螺钉金属引起的射束硬化伪影中的应用。
■纳入77名接受140或100kV低剂量CT检查的儿童（3-15岁）。3-8岁儿童的辐射剂量为1.40mGy，9-15岁儿童的辐射剂量为2.61mGy。评估了116枚椎弓根螺钉。原始数据用自适应统计迭代重建-V(ASIR-V)在50%强度下重建,ASIR-V与MAR（AV-MAR），高强度深度学习图像重建(DLIR)和带MAR的DLIR(DL-MAR)。根据射束硬化伪影（LHA）的长度和伪影指数（AI）客观地评估了椎弓根螺钉的图像质量。主观上使用4点量表(4点：最好，3分：可接受）。
■AV-MAR和DL-MAR均显着减少了具有较小LHA（15.76±10.12mm，减少57.24%和15.66±10.49毫米，减少了57.40%，分别)，和AI值（62.50±33.51，减少64.65%和61.03±32.61，减少65.01%，分别）与ASIR-V和DLIR相比（均P<0.01），使用AV-MAR和DL-MAR，有关螺钉的主观图像质量评分分别为3.37±0.49和3.47±0.50，分别,高于无MAR的1.73±0.44和1.76±0.43(均P<0.01)。
■MAR显着减少了手术后儿科低剂量脊柱CT图像中金属螺钉引起的低密度伪影，跨不同的管电压，辐射剂量水平和重建算法。结合DL-MAR进一步提高了低辐射剂量条件下的整体图像质量。
■纳入77名接受140或100kV低剂量CT检查的儿童（3-15岁）。3-8岁儿童的辐射剂量为1.40mGy，9-15岁儿童的辐射剂量为2.61mGy。评估了116枚椎弓根螺钉。原始数据用自适应统计迭代重建-V(ASIR-V)在50%强度下重建,ASIR-V与MAR（AV-MAR），高强度深度学习图像重建(DLIR)和带MAR的DLIR(DL-MAR)。根据射束硬化伪影（LHA）的长度和伪影指数（AI）客观地评估了椎弓根螺钉的图像质量。主观上使用4点量表(4点：最好，3分：可接受）。
■AV-MAR和DL-MAR均显着减少了具有较小LHA（15.76±10.12mm，减少57.24%和15.66±10.49毫米，减少了57.40%，分别)，和AI值（62.50±33.51，减少64.65%和61.03±32.61，减少65.01%，分别）与ASIR-V和DLIR相比（均P<0.01），使用AV-MAR和DL-MAR，有关螺钉的主观图像质量评分分别为3.37±0.49和3.47±0.50，分别,高于无MAR的1.73±0.44和1.76±0.43(均P<0.01)。
■MAR显着减少了手术后儿科低剂量脊柱CT图像中金属螺钉引起的低密度伪影，跨不同的管电压，辐射剂量水平和重建算法。结合DL-MAR进一步提高了低辐射剂量条件下的整体图像质量。
