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通过深度条件生成模型减少腹部CT截面切片的位置变异

Xin Yu¹, Qi Yang¹, Yucheng Tang²

¹Computer Science, Vanderbilt University, Nashville, TN, USA.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

|December 26, 2025

概括

这项研究引入了C-SliceGen,这是一种新的方法,可以从纵向计算机断层扫描 (CT) 扫描中协调身体组成分析. 它减少了腹部切片的位置变异,改善了健康和衰老研究.

科学领域:

医疗成像医学成像
人工智能的人工智能
生物医学工程生物医学工程

背景情况:

2D腹部CT切片可以测量身体成分,这对于老化健康研究至关重要.
纵向分析受到CT切片随时间变化的位置差异的阻碍.
标准化这些切片对于准确的身体成分跟踪至关重要.

研究的目的:

开发一种方法 (C-SliceGen) 来减少纵向2D腹部CT切片中的位置偏差.
为了使更准确的身体组成分析随着时间的推移进行衰老研究.
为了使不同脊椎水平的切片与目标切片协调.

主要方法:

扩展条件生成模型以创建C-SliceGen.
模型将任意的腹部切片作为输入,并生成定义的脊椎水平切片.
估计潜空间的结构变化,以解释位置变异.

主要成果:

C-SliceGen产生高质量,现实的和类似的图像.
在内部 (1170名受试者) 和BTCV MICCAI (50名受试者) 数据集上验证.
在BLSA数据集 (20名受试者) 中协调肌肉和内脏脂肪区域的纵向切片.

结论:

C-SliceGen有效地减少了纵向腹部CT切片的位置变异.
为单片纵向分析提供了协调片的有希望的方法.
在衰老研究中更准确地跟踪身体成分.

关键词:

腹部切片的生成过程身体组成身体组成纵向数据协调与统一

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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.
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