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Intrafraction motion management with MR-guided radiation therapy
High quality radiation therapy requires highly accurate and precise dose delivery. MR-
guided radiotherapy (MRgRT), integrating an MRI scanner with a linear accelerator, offers …
guided radiotherapy (MRgRT), integrating an MRI scanner with a linear accelerator, offers …
Stop moving: MR motion correction as an opportunity for artificial intelligence
Subject motion is a long-standing problem of magnetic resonance imaging (MRI), which can
seriously deteriorate the image quality. Various prospective and retrospective methods have …
seriously deteriorate the image quality. Various prospective and retrospective methods have …
Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy
Shape and location organ variability induced by respiration constitutes one of the main
challenges during dose delivery in radiotherapy. Providing up-to-date volumetric information …
challenges during dose delivery in radiotherapy. Providing up-to-date volumetric information …
Real-time non-rigid 3D respiratory motion estimation for MR-guided radiotherapy using MR-MOTUS
The MR-Linac is a combination of an MR-scanner and radiotherapy linear accelerator
(Linac) which holds the promise to increase the precision of radiotherapy treatments with …
(Linac) which holds the promise to increase the precision of radiotherapy treatments with …
Fast multi-contrast MRI acquisition by optimal sampling of information complementary to pre-acquired MRI contrast
Recent studies on multi-contrast MRI reconstruction have demonstrated the potential of
further accelerating MRI acquisition by exploiting correlation between contrasts. Most of the …
further accelerating MRI acquisition by exploiting correlation between contrasts. Most of the …
Motion compensated self supervised deep learning for highly accelerated 3D ultrashort Echo time pulmonary MRI
Purpose To investigate motion compensated, self‐supervised, model based deep learning
(MBDL) as a method to reconstruct free breathing, 3D pulmonary UTE acquisitions. Theory …
(MBDL) as a method to reconstruct free breathing, 3D pulmonary UTE acquisitions. Theory …
Real-time MRI motion estimation through an unsupervised k-space-driven deformable registration network (KS-RegNet)
Purpose. Real-time three-dimensional (3D) magnetic resonance (MR) imaging is
challenging because of slow MR signal acquisition, leading to highly under-sampled k …
challenging because of slow MR signal acquisition, leading to highly under-sampled k …
[HTML][HTML] Gaussian Processes for real-time 3D motion and uncertainty estimation during MR-guided radiotherapy
Respiratory motion during radiotherapy causes uncertainty in the tumor's location, which is
typically addressed by an increased radiation area and a decreased dose. As a result, the …
typically addressed by an increased radiation area and a decreased dose. As a result, the …
Volumetric MRI with sparse sampling for MR‐guided 3D motion tracking via sparse prior‐augmented implicit neural representation learning
Background Volumetric reconstruction of magnetic resonance imaging (MRI) from sparse
samples is desirable for 3D motion tracking and promises to improve magnetic resonance …
samples is desirable for 3D motion tracking and promises to improve magnetic resonance …
Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM)
Objective. We introduce an unsupervised motion-compensated reconstruction scheme for
high-resolution free-breathing pulmonary magnetic resonance imaging. Approach. We …
high-resolution free-breathing pulmonary magnetic resonance imaging. Approach. We …