一个多动态的低级深度图像之前 (ML-DIP) 为3D实时心血管MRI
Chong Chen1, Marc Vornehm2, Zhenyu Bu1
1Department of Biomedical Engineering, The Ohio State University, Columbus, OH, USA.
概括
一个新的深度学习框架 (ML-DIP) 从低样本数据中重建3D实时心血管磁共振 (CMR). 这种方法可以实现高图像质量和准确的功能测量,而不需要完全采样的训练数据集.
科学领域:
- 医疗成像医学成像
- 心血管成像 - 心血管成像
- 人工智能在医学中的应用
背景情况:
- 实时3D心血管磁共振 (CMR) 成像对于评估心脏功能至关重要.
- 获取高分辨率的3DCMR数据通常需要很长的扫描时间,这限制了其临床实用性.
- 现有的重建方法通常依赖于完全采样的训练数据集,这些数据集并不总是可用.
研究的目的:
- 为3D实时CMR开发一个新的重建框架.
- 为了从高度低采样的k空间数据中实现高质量的图像重建.
- 在重建过程中消除对完全采样训练数据集的需求.
主要方法:
- 开发了一个多动态低级深度图像预先 (ML-DIP) 框架.
- 利用单独的神经网络来建模空间图像内容和变形场.
- 每次扫描优化网络,直接从低采样的k空间数据重建动态图像系列.
主要成果:
- 在幻影研究中,ML-DIP实现了高峰信号噪声比 (PSNR > 29 dB) 和结构相似度指数 (SSIM > 0.90),扫描时间短至两分钟.
- 在体内研究表明,功能测量与2D cine相比,图像质量优于基于5D-Cine的5D-Cine,即使在运动期间.
- 该框架成功地重建了早发性心室收缩 (PVC) 患者的不规则心跳,保持了节拍变化.
结论:
- ML-DIP可实现高质量的3D实时CMR重建,具有显著的加速度因子.
- 该框架直接从低样本数据中学习低级空间和运动表示.
- 这种方法克服了现有方法的局限性,因为不需要外部完全采样的培训数据集.
相关概念视频
01:21Imaging Studies for Cardiovascular System IV: CMRI
300
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
300
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
01:28Imaging Studies for Cardiovascular System V: CT
264
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
264