一个配对的CT和MRI数据集,用于先进的医学成像应用
Zakaria Shams Siam1, Md Younus Akon1, Israt Jahan Munmun1
1Urology and Transplantation Foundation, Bangladesh.
Data in brief
|July 14, 2025
概括
这项研究引入了一个新的配对医学成像数据集,用于在CT和MRI扫描之间进行翻译. 本资源有助于开发用于临床研究的高级图像对图像翻译算法.
科学领域:
- 医疗成像医学成像
- 计算辐射学 计算辐射学
- 人工智能在医学中的应用
背景情况:
- 由于图像特征和对比度的固有差异,CT和MRI等模式之间的医学图像翻译具有挑战性.
- 配对的多模式数据集对于验证和推进图像对图像翻译技术至关重要,但它们很少.
研究的目的:
- 介绍一个新的,配对的多式联络医疗成像数据集,以促进CT-to-MRI和MRI-to-CT图像翻译.
- 为研究人员开发复杂的图像对图像翻译方法和多式联络医疗成像算法提供一个基准资源.
主要方法:
- 编制了来自18名不同患者的数据集,包括共同注册的T1加权MRI,T2加权MRI和CT图像.
- 通过精细的联合注册和由熟练的放射科医生确认,确保图像的精度和可靠性.
主要成果:
- 开发了一种新的配对多式联络数据集,包括CT,T1加权MRI和T2加权MRI扫描.
- 该数据集包括多样化的患者人口统计和多种疾病表示,增强其用于算法验证的实用性.
结论:
- 提出的数据集解决了配对多式联络医疗成像数据的可用性方面的重大差距.
- 预计这项资源将促进医学图像翻译和多式联络分析中的计算和临床应用的发展.
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