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Computed Tomography

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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相关实验视频

Updated: Jan 7, 2026

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Published on: September 29, 2019

SinoSynth:一种基于物理的域随机化方法,用于可泛化的CBCT图像增强.

Yunkui Pang¹, Yilin Liu¹, Xu Chen²

¹University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

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

|December 19, 2025

概括

通过模拟文物,SinoSynth通过生成现实的合成圆束计算机断层扫描 (CBCT) 图像. 这种基于物理学的方法改善了医疗成像的深度学习模型,优于在真实数据上训练的方法.

关键词:

在CBCT中,CBCT是CBCT.这就是为什么CTCTCTCTCTCT 域随机化域名随机化没有配对的图像翻译

更多相关视频

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

相关实验视频

Last Updated: Jan 7, 2026

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Published on: September 29, 2019

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

科学领域:

医疗成像医学成像
计算成像技术的成像
人工智能在医学中的应用

背景情况:

圆束计算机断层扫描 (CBCT) 在医学中至关重要,但图像质量通常会受到噪音和文物的影响.
由于训练数据有限,现有的文物校正方法与各种降解作斗争.

研究的目的:

介绍SinoSynth,一种基于物理学的新型模型,用于生成各种合成CBCT图像与现实的文物.
提高深度学习模型的性能,以减少CBCT人工物.

主要方法:

开发了一种基于物理的降解模型 (SinoSynth) 来从高质量的CT图像中模拟CBCT特定的文物.
在不需要预先调整数据的情况下生成了合成CBCT图像的多样化数据集.
在合成数据上训练生成网络以进行人工物校正.

主要成果:

在SinoSynth数据上训练的生成网络在多机构CBCT数据集上取得了优异的性能,与在真实数据上训练的网络相比.
该模型成功生成了高质量的,结构保存的合成图像.
证明了在生成模型中强制执行解剖学约束的能力.

结论:

SinoSynth提供了一种有效的解决方案,用于CBCT文物校正中的数据增强.
基于物理的模拟增强了医疗成像深度学习模型的稳定性和通用性.
这种方法解决了CBCT中有限和多样化的文物数据的挑战.