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相关概念视频

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

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用图形U网进行域独立后处理:用于电阻断层成像的应用⋆

William Herzberg1, Andreas Hauptmann2, Sarah J Hamilton1

  • 1Department of Mathematical and Statistical Sciences; Marquette University, Milwaukee, WI 53233, United States of America.

Physiological measurement
|November 9, 2023
PubMed
概括

我们开发了一个图形U-Net来处理不规则的网格数据,改进了电阻断层扫描 (EIT) 的早期代重建. 这种灵活的网络可以降低复杂的反向问题的计算成本.

关键词:
导电性的导电性.深度学习是一种深度学习.电阻断层扫描电阻断层扫描有限元素方法的有限元素方法.图表 卷积网络 卷积网络后处理 后处理 后处理在U-net中,U-net是指U-net网络.

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科学领域:

  • 计算机视觉 计算机视觉
  • 医疗成像医学成像
  • 图形神经网络 图形神经网络

背景情况:

  • 在图像细分方面,U-Net架构非常成功,但仅限于常规的像素/voxel域.
  • 不规则的网格通常用于解决反向问题,例如电阻断层扫描 (EIT).

研究的目的:

  • 扩展U-Net架构,通过开发基于图的等效来处理不规则的网格.
  • 为了证明拟议的图表U-Net对改善EIT重建的有效性.

主要方法:

  • 将不规则的网格解释为图形,以开发图形U-Net.
  • 引入了新的集群聚合和解散层,以模仿图表上的最大聚合操作.
  • 在各种测量设备的模拟和实验EIT数据上评估性能.

主要成果:

  • 图表U-Net有效地改善了EIT的早期代总变化 (TV) 重建,甚至从第一个代开始.
  • 演示了概括能力,在2D数据上训练的网络成功应用于3D重建.
  • 在不同的测量几何形状和仪器仪表中表现出灵活性.

结论:

  • 图形U-Net提供了一种灵活的解决方案,用于处理不规则网格上的数据,直接适用于计算领域.
  • 这种方法显著降低了反向问题的计算成本,特别是在更高的维度.
  • 维度独立的图形结构促进了对2D数据的训练和对3D问题的应用,进一步优化了计算效率.