Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes

SUH Dar, Ş Öztürk, M Özbey, KK Oguz… - Computers in Biology and …, 2023 - Elsevier
Magnetic resonance imaging (MRI) is an essential diagnostic tool that suffers from
prolonged scan times. Reconstruction methods can alleviate this limitation by recovering …

A review of deep learning-based reconstruction methods for accelerated MRI using spatiotemporal and multi-contrast redundancies

S Kim, HW Park, SH Park - Biomedical Engineering Letters, 2024 - Springer
Accelerated magnetic resonance imaging (MRI) has played an essential role in reducing
data acquisition time for MRI. Acceleration can be achieved by acquiring fewer data points in …

Learning deep mri reconstruction models from scratch in low-data regimes

SUH Dar, Ş Öztürk, M Özbey, T Çukur - arXiv preprint arXiv:2301.02613, 2023 - arxiv.org
Magnetic resonance imaging (MRI) is an essential diagnostic tool that suffers from
prolonged scan times. Reconstruction methods can alleviate this limitation by recovering …

A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling

C Rao, M van Osch, N Pezzotti, J de Bresser… - arXiv preprint arXiv …, 2024 - arxiv.org
Since multiple MRI contrasts of the same anatomy contain redundant information, one
contrast can be used as a prior for guiding the reconstruction of an undersampled …

Accelerating image reconstruction for multi-contrast MRI based on Y-Net3+

X Cai, X Hou, R Sun, X Chang, H Zhu… - Journal of X-Ray …, 2023 - content.iospress.com
BACKGROUND: As one of the significant preoperative imaging modalities in medical
diagnosis, Magnetic resonance imaging (MRI) takes a long scanning time due to its special …

[PDF][PDF] Prior knowledge for deep learning based interventional cone beam Computed Tomography reconstruction

P Ernst - 2023 - opendata.uni-halle.de
Computed tomography (CT) is a non-invasive imaging method for anatomical structures.
Due to its fast acquisition time, it is also suitable for surgery in near real-time using …