生成性扩散模型使得在阿尔茨海默病队列中可以量化无校准的动脉旋转标记 perfusion 磁共振成像数据
Qinyang Shou1, Steven Cen2, Nan-Kuei Chen3
1Laboratory of Functional MRI Technology (LOFT) Stevens Neuroimaging and Informatics Institute University of Southern California Los Angeles California USA.
Alzheimer's & dementia (Amsterdam, Netherlands)
|November 3, 2025
概括
一个扩散模型成功地生成了阿尔茨海默氏病神经成像计划 (ADNI) 数据集中的缺失的M0图像,用于动脉旋转标记 (ASL) 数据. 这使得精确的脑血流量 (CBF) 可以量化,并改善了阿尔茨海默病的分类.
科学领域:
- 神经成像是一种神经成像.
- 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:
- 在ADNI数据集中的西门子ASL数据中缺失的M0图像阻止了脑血流 (CBF) 的量化.
- 这种限制阻碍了ASL作为阿尔茨海默病 (AD) 生物标志物的使用.
研究的目的:
- 开发一种方法,使用条件潜伏扩散模型生成缺失的M0图像.
- 为了在ADNI数据集中使用西门子ASL数据实现准确的CBF量化.
- 评估生成的CBF对AD诊断和进展监测的有用性.
主要方法:
- 在内部数据集上训练了一种有条件潜伏扩散模型.
- 该模型应用于来自ADNI-3的西门子ASL数据,以生成M0图像.
- 生成的CBF与从通用电气数据中获得的CBF进行了比较,以区分区域差异,AD分类准确度和轨道斜率.
主要成果:
- 扩散模型生成了具有高保真度 (SSIM=0.918,PSNR=31.361) 和最小CBF偏差的M0图像.
- 生成的CBF表现出与获得的CBF相似的空间模式和AD进展的下降趋势.
- 与定性 perfusion 图像相比,使用生成的 CBF 提高了 AD 阶段的分类准确性.
结论:
- 潜在扩散模型可以有效地将缺失的M0图像归因于ASL数据.
- 这种方法促进了使用ASL作为AD生物标志物的大规模研究.
- 生成的CBF数据显示了改善阿尔茨海默氏症研究中的诊断和预后能力的前景.
更多相关视频
09:33Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
29.1K
09:38Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
Published on: November 14, 2017
15.6K
相关概念视频
01:17Assessment of Diffusion and Perfusion
1.5K
Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...
1.5K
01:24Magnetic Resonance Imaging
9.0K
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...
9.0K