[HTML][HTML] Rapid 4D-MRI reconstruction using a deep radial convolutional neural network: Dracula
JN Freedman, OJ Gurney-Champion, S Nill… - Radiotherapy and …, 2021 - Elsevier
Background and Purpose 4D and midposition MRI could inform plan adaptation in lung and
abdominal MR-guided radiotherapy. We present deep learning-based solutions to …
abdominal MR-guided radiotherapy. We present deep learning-based solutions to …
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 …
Real‐time 3D MRI reconstruction from cine‐MRI using unsupervised network in MRI‐guided radiotherapy for liver cancer
R Wei, J Chen, B Liang, X Chen, K Men… - Medical Physics, 2023 - Wiley Online Library
Purpose Respiration has a major impact on the accuracy of radiation treatment for thorax
and abdominal tumours. Instantaneous volumetric imaging could provide precise …
and abdominal tumours. Instantaneous volumetric imaging could provide precise …
MRI super‐resolution reconstruction for MRI‐guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown …
J Chun, H Zhang, HM Gach, S Olberg, T Mazur… - Medical …, 2019 - Wiley Online Library
Purpose Deep learning (DL)‐based super‐resolution (SR) reconstruction for magnetic
resonance imaging (MRI) has recently been receiving attention due to the significant …
resonance imaging (MRI) has recently been receiving attention due to the significant …
Towards MR-only radiotherapy treatment planning: synthetic CT generation using multi-view deep convolutional neural networks
Abstract Recently, Magnetic Resonance imaging-only (MR-only) radiotherapy treatment
planning (RTP) receives growing interests since it is radiation-free and time/cost efficient. A …
planning (RTP) receives growing interests since it is radiation-free and time/cost efficient. A …
Synthetic CT generation from weakly paired MR images using cycle-consistent GAN for MR-guided radiotherapy
Although MR-guided radiotherapy (MRgRT) is advancing rapidly, generating accurate
synthetic CT (sCT) from MRI is still challenging. Previous approaches using deep neural …
synthetic CT (sCT) from MRI is still challenging. Previous approaches using deep neural …
CT synthesis from MRI images based on deep learning methods for MRI-only radiotherapy
MRI-only radiotherapy is expected to be safer and more precise compared with conventional
CT-based radiotherapy. But unlike CT, MR images is not related with electron density for …
CT-based radiotherapy. But unlike CT, MR images is not related with electron density for …
Real‐time radial reconstruction with domain transform manifold learning for MRI‐guided radiotherapy
Background MRI‐guidance techniques that dynamically adapt radiation beams to follow
tumor motion in real time will lead to more accurate cancer treatments and reduced …
tumor motion in real time will lead to more accurate cancer treatments and reduced …
Single patient convolutional neural networks for real-time MR reconstruction: a proof of concept application in lung tumor segmentation for adaptive radiotherapy
Investigate 3D (spatial and temporal) convolutional neural networks (CNNs) for real-time on-
the-fly magnetic resonance imaging (MRI) reconstruction. In particular, we investigated the …
the-fly magnetic resonance imaging (MRI) reconstruction. In particular, we investigated the …
Abdominal synthetic CT reconstruction with intensity projection prior for MRI-only adaptive radiotherapy
Objective. Owing to the superior soft tissue contrast of MRI, MRI-guided adaptive
radiotherapy (ART) is well-suited to managing interfractional changes in anatomy. An MRI …
radiotherapy (ART) is well-suited to managing interfractional changes in anatomy. An MRI …