弹性Morph:用于医疗图像注册的插入运行二级弹性规范化.
Zhaoxi Lin1, Shan Jiang1, Zeyang Zhou1
1Mechanical Engineering Department, Tianjin University, No. 135, Yaguan Road, Haihe Education Park, Jinnan District, 300350, Tianjin, China; Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education (Tianjin University), No. 135, Yaguan Road, Haihe Education Park, Jinnan District, 300350, Tianjin, China; Tianjin Key Laboratory of Equipment Design and Manufacturing Technology (Tianjin University), No. 135, Yaguan Road, Haihe Education Park, Jinnan District, 300350, Tianjin, China.
弹性摩尔夫 (ElasticMorph) 是一种基于物理学的新型调节器,增强了医疗图像注册的准确性和解剖学可信性. 这种方法有效地减少了组织折叠工件,没有显著的计算开销,改善了下游分析.
科学领域:
- 医疗成像医学成像
- 计算解剖学的计算解剖学
- 生物医学工程 生物医学工程
背景情况:
- 可变形图像的注册对于临床应用至关重要.
- 目前的基于学习的方法使用简单的光滑损失,导致物理上不可思议的变形,如组织折叠.
- 这在注册准确性和解剖学正确性之间产生了权衡.
研究的目的:
- 开发和验证一种新的,基于物理的调节器,用于可变形图像注册.
- 调节器旨在同时提高注册准确性和物理可信性.
- 以微不足道的计算开销实现这一点.
主要方法:
- 提出了ElasticMorph,这是一个基于Navier-Cauchy方程的插即用损失函数.
- 调节器惩罚曲率和变形场的分歧.
- 在集成到CNN和变压器模型中的脑MRI数据集 (IXI,LPBA-40) 上进行评估,用子相似系数 (DSC) 和负雅科比数 (%negJ) 的百分比量化性能.
主要成果:
- ElasticMorph 始终提高了注册准确度,平均 DSC 增加了 0.56-4.92%.
- 在经过测试的模型和数据集中,折叠工件 (%negJ) 减少了24%-42%.
- 通过最小的训练时间增加 (≤8%) 和内存使用 (≤15%) 实现,没有推断成本.
结论:
- 强制执行二级线性弹性是可变形注册的强大而有效的策略.
- ElasticMorph提供了一个实用的,原则性的,插即用解决方案,以实现更准确和物理可信的注册.
- 这对提高生物医学图像分析任务的可靠性有很大的潜力.
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