通过变压器在CBCT图像中移除环形物体,具有单向垂直梯度损失的变压器
1School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China.
Medical physics
|June 3, 2024
概括
本研究介绍了一种基于变压器的方法,用于消除圆束计算机断层扫描 (CBCT) 图像中的环形物. 这种新的方法有效地去除了文物,同时保留了关键的图像细节,以改善诊断.
科学领域:
- 医疗成像医学成像
- 图像处理 图像处理
- 人工智能的人工智能
背景情况:
- 圆束计算断层扫描 (CBCT) 对于疾病检测至关重要,但由于检测器不一致,它遭受了环形工件的损害.
- 这些文物损害了诊断的准确性,需要有效的校正方法.
- 现有的文物移除技术有局限性,这项研究解决了这些局限性.
研究的目的:
- 开发一种基于变压器的模型,用于在CBCT图像中进行强大的环形工件校正.
- 为了利用变形金刚的全球和本地特征建模能力来移除文物.
- 通过有效地消除文物而没有显著的细节损失来提高诊断图像质量.
主要方法:
- 设计了一个变压器模型,包含双域信息融合 (图像和极域).
- 开发了一个专门的损失函数,包括极域的单向梯度损失.
- 该方法在图像域中运行,用于直接的无文物输出预测和细节保存.
主要成果:
- 广泛的实验验证了拟议方法的有效性,超过了古典和最先进的技术.
- 该方法在艺术品校正中实现了卓越的图像质量和评估指标.
- 废弃性研究证实了拟议方法的各个组成部分的贡献.
结论:
- 基于变压器的方法显著提高了CBCT图像中的环形工件校正.
- 双域融合和定制的损失函数使得有效的文物删除和细节保存.
- 这种方法为提高CBCT成像的可靠性提供了一个有希望的解决方案.
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