| 李卿瑶,徐敏,张亚平,张璐,王凌云,潘志杰,解学乾.Swin2SR网络用于重建胸部超分辨率CT图像[J].中国医学影像技术,2025,41(5):739~743 |
| Swin2SR网络用于重建胸部超分辨率CT图像 |
| Swin2SR network for reconstructing chest super-resolution CT images |
| 投稿时间：2024-08-22 修订日期：2025-05-08 |
| DOI：10.13929/j.issn.1003-3289.2025.05.009 |
| 中文关键词: 肺疾病 体层摄影术,X线计算机 质量控制 人工智能 |
| 英文关键词:lung diseases tomography, X-ray computed quality control artificial intelligence |
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| 摘要点击次数: 56 |
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| 中文摘要: |
| 目的 观察基于Transformer架构的Swin2SR网络用于重建胸部超分辨率(SR)CT图像的价值。方法 回顾性收集218例患者胸部CT,采用基于Transformer架构的Swin2SR模型将标准512矩阵(512×512)CT图(标准-512组)增强为1 024(SR-1 024组)和2 048(SR-2 048组)矩阵SR CT图,对比3组图像质量主、客观评价结果。结果 SR-1 024及SR-2 048组整体图像质量和显示病变清晰度评分均优于标准-512组(P均＜0.05)而其间差异无统计学意义(P＞0.05)。3组图像质量客观评价参数差异均无统计学意义(P均＞0.05)。结论 Swin2SR模型可在不增加图像噪声的前提下重建胸部SR CT图像并提高图像质量。 |
| 英文摘要: |
| Objective To observe the value of Swin2SR network based on Transformer architecture for reconstructing chest super-resolution CT images. Methods Chest CT data of 218 patients were retrospectively collected. Swin2SR model based on Transformer architecture was adopted to enhance standard 512 matrix (512×512) CT images (standard-512 group) into 1 024 (SR-1 024 group) and 2 048 (SR-2 048 group) matrix SR CT images,respectively. Subjective and objective evaluation of image quality were performed, and the results were compared among groups. Results The subjective scores of overall imaging quality and lesion clarity in SR-1 024 and SR-2 048 groups were both higher than those in standard-512 group (all P＜0.05), while no significant difference was found between the former two (P＞0.05). Meanwhile, no significant difference of objective indexes of imaging quality was observed among 3 groups (all P＞0.05). Conclusion Swin2SR model could reconstruct chest SR CT images without increasing noise and improve imaging quality. |
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