在3DMRI中使用稀疏的单点注释来进行弱监督的细分,用于三维MRI中动脉的光和壁
Jonghun Kim1, Inye Na1, Junmo Kwon1
1Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.
Computer methods and programs in biomedicine
|June 24, 2025
概括
这项研究引入了一种新的弱监督方法,用于在3DMRI扫描上使用单点注释来细分动脉,从而显著减少动脉样硬化治疗规划中的手工劳动.
科学领域:
- 医疗成像医学成像
- 人工智能在医学中的应用
- 心血管研究研究心血管研究
背景情况:
- 动脉细分对于动脉样硬化治疗规划至关重要.
- 手动细分是劳动密集型和耗时的.
- 需要更有效的细分方法.
研究的目的:
- 开发一种弱监督的分段方法,用于动脉.
- 为了减少手动注释在动脉细分的努力.
- 为了使动脉样硬化的有效治疗规划.
主要方法:
- 使用最小注释 (每片单点) 的弱监督细分方法.
- 整合了三个损失函数:中心点定位,使用空间图的半径约束和相邻切片相似性.
- 通过调整半径参数来分割光线和墙壁.
主要成果:
- 拟议的方法在COSMOS2022数据集 (DSClu 0.821,DSCwa 0.841) 上实现了与完全监督的方法可比的性能.
- 类似的结果在独立的哈佛数据集上得到了验证.
- 有效细分内动脉,外动脉和常见的动脉.
结论:
- 开发的方法为动脉细分提供了高效和有效的解决方案.
- 这种方法,利用单点注释,可以帮助管理动脉样硬化.
- 该代码是公开可用的,用于研究.
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