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从常规心脏计算机断层扫描血管图来检测区域左心室痕,使用隐性空间分类
Hugh O'Brien1, John Whitaker2, Mark D O'Neill2
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Computers in biology and medicine
|October 20, 2023
概括
这项研究开发了一种自动化方法,用于检测侧壁痕,使用计算机断层扫描血管学 (CTA) 与编码器-解码器网络. 这种方法对手术前的规划有希望,特别是当MRI是禁忌时.
科学领域:
- 心血管成像 - 心血管成像
- 人工智能在医学中的应用
- 医学图像分析 医学图像分析
背景情况:
- 心脏痕评估对于诊断和干预指导至关重要.
- 带有晚期加多增强的磁共振成像 (MRI LGE) 是黄金标准,但通常是禁忌的.
- 计算机断层扫描血管学 (CTA) 提供了一个可行的替代方案,因为它有较少的禁忌.
研究的目的:
- 开发一种用于心脏CTA区域痕检测的自动化方法.
- 使用带有潜在空间分类的编码器解码器网络进行痕识别.
- 评估使用CTA检测痕的可行性,作为MRI LGE的替代品.
主要方法:
- 在79名患者的数据集上训练并验证了编码-解码网络,其中包括MRI LGE和CTA扫描.
- 我们比较了两个网络设计,其中一个在潜空间中编码解剖形状.
- 通过在MRI LGE中细分痕并将其注册到CTA图像来建立地面真相.
主要成果:
- 在一个独立的测试集上,实现了0.75的ROC曲线下面面积 (AUC) 来进行侧面痕分类.
- 证明了在潜空间中编码解剖形状可以提高侧面痕分类的准确性.
- 七面痕分类的结果很差 (AUC<0.6),可能是由于类不平衡.
结论:
- 自动侧壁痕检测从心脏CTA是可行的,具有合理的准确性.
- 这种方法可以帮助程序前的规划,特别是对于MRI禁忌的患者.
- 需要进一步的研究来提高隔膜痕检测的准确性.
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