| 李昊岳,薛智元,陆萍萍,张珂.深度学习用于颞骨CT成像应用进展[J].中国医学影像技术,2024,40(9):1432~1435 |
| 深度学习用于颞骨CT成像应用进展 |
| Application progresses of deep learning in temporal bone CT imaging |
| 投稿时间：2024-03-26 修订日期：2024-05-21 |
| DOI：10.13929/j.issn.1003-3289.2024.09.032 |
| 中文关键词: 耳疾病 颞骨 深度学习 体层摄影术,X线计算机 |
| 英文关键词:ear diseases temporal bone deep learning tomography, X-ray computed |
| 基金项目:国家自然科学基金(62271008)。 |
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| 中文摘要: |
| 颞骨CT成像对诊治耳科疾病十分重要,但低剂量条件下存在图像分辨率不足、伪影强及信噪比低等问题,使其临床应用受限。近年深度学习(DL)已在分类、分割及重建医学图像等方面展现出巨大潜力,为提高颞骨CT图像质量提供了新的思路。本文围绕DL用于颞骨CT成像应用进展进行综述。 |
| 英文摘要: |
| Temporal bone CT imaging is particularly important for diagnosis and treatment of ear diseases, but there are some issues such as insufficient resolution, strong artifacts and low signal-to-noise ratio under low radiation doses, which limit its’ clinical application. Recent years, deep learning (DL) had shown great potential in classifying, segmenting and reconstructing medical images, providing new ideas for improving imaging quality of temporal bone CT. The application progresses of DL in temporal bone CT imaging were reviewed in this article. |
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