| 黄倚天,万兵,刘玥,等.深度学习重建算法在 CT血管成像中的应用进展[J].安徽医药,2026,30(11):2168-2172. |
| 深度学习重建算法在 CT血管成像中的应用进展 |
| Progress in the application of deep learning reconstruction algorithms in CT angiography |
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| DOI：10.3969/j.issn.1009-6469.2026.11.009 |
| 中文关键词: 计算机体层摄影血管造影术 深度学习 重建算法 辐射剂量 医学影像 |
| 英文关键词: Computed tomography angiography Deep learning Reconstructionalgorithm Radiationdose Medical image |
| 基金项目:湖北省自然科学基金创新发展联合基金( 2025AFD872) |
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| 中文摘要: |
| 近年来，深度学习重建算法在医学影像领域迅速崛起，展现出巨大的应用潜力。与传统重建方法相比，深度学习重建算法通过训练深度神经网络，能在低辐射剂量 CT扫描条件下，有效消除噪声和伪影，同时保持解剖结构细节，从而生成高质量的诊断图像。现就深度学习重建算法在 CT血管成像中的应用进行综述，旨在提升对该技术的认识并展望其未来的应用前景。 |
| 英文摘要: |
| In recent years,deep learning reconstruction algorithms have rapidly emerged in the field of medical imaging, demonstratingsignificant application potential. Compared with conventional reconstruction methods, deep learningreconstruction algorithms, by train-ing deep neural networks,can significantly reduce noise and artifacts while preserving anatomical structural details under low-dose CT scanning conditions, thereby yielding high-quality diagnostic images.This paper reviews the application of deep learning reconstructionalgorithms in CT angiography,aiming to enhance the understanding of these algorithms and to explore their future application prospects. |
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