Accelerated respiratory‐resolved 4D‐MRI with separable spatio‐temporal neural networks
Background Respiratory‐resolved four‐dimensional magnetic resonance imaging (4D‐MRI)
provides essential motion information for accurate radiation treatments of mobile tumors …
provides essential motion information for accurate radiation treatments of mobile tumors …
Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes
Magnetic resonance imaging (MRI) is an essential diagnostic tool that suffers from
prolonged scan times. Reconstruction methods can alleviate this limitation by recovering …
prolonged scan times. Reconstruction methods can alleviate this limitation by recovering …
[HTML][HTML] Improving the efficiency and accuracy of CMR with AI–review of evidence and proposition of a roadmap to clinical translation
Cardiovascular magnetic resonance (CMR) is an important imaging modality for the
assessment of heart disease; however, limitations of CMR include long exam times and high …
assessment of heart disease; however, limitations of CMR include long exam times and high …
A deep learning-based fully automatic framework for motion-existing cine image quality control and quantitative analysis
H Yang, L Fan, N Iakovlev, D Kim - … and Computational Models of the Heart, 2022 - Springer
Cardiac cine magnetic resonance imaging (MRI) is the current standard for the assessment
of cardiac structure and function. In patients with dyspnea, however, the inability to perform …
of cardiac structure and function. In patients with dyspnea, however, the inability to perform …