一种基于强度的自我监督的域适应方法,用于磁共振成像中的椎间盘分割
Maria Chiara Fiorentino1, Francesca Pia Villani2, Rafael Benito Herce3
1Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.
概括
这项研究引入了一种基于强度的自我监督方法,用于MRI扫描中准确的脊椎间盘 (IVD) 分段. 这种方法有效地减少了对大型注释数据集的需求,提高了不同领域的细分精度.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 脊柱诊断 脊柱诊断 脊柱诊断 脊柱诊断
背景情况:
- 准确的椎间盘 (IVD) 分段对于诊断脊柱疾病至关重要.
- 传统的深度学习需要大量的注释数据,很难获得.
- 这限制了深度学习在临床环境中的应用.
研究的目的:
- 开发一种基于强度的自我监督域适应方法,用于IVD细分.
- 为了减少对IVD细分的大型注释数据集的依赖.
- 提高IVD细分模型在不同数据领域的通用性.
主要方法:
- 基于强度的自我监督学习方法被开发用于MRI扫描中的IVD细分.
- 一个双任务模型同时对IVD进行细分,并预测强度转换.
- 该模型在未标记的多域数据上进行训练,以学习域不变特征.
主要成果:
- 拟议的模型在三个公共数据集上表现优于基线模型.
- 该方法在处理域移动方面表现出卓越的性能.
- 与单域训练模型相比,IVD细分的准确性更高.
结论:
- 基于强度的自我监督的域调整显示了IVD细分的巨大潜力.
- 该方法增强了跨数据集的模型通用性,并且具有域移位.
- 这种方法可以扩展到其他医学成像细分任务.
相关概念视频
01:24Magnetic Resonance Imaging
7.6K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
7.6K
01:12Double Resonance Techniques: Overview
870
Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
Spin decoupling is usually achieved by...
870