Stochastic optimization of three‐dimensional non‐Cartesian sampling trajectory
Purpose Optimizing three‐dimensional (3D) k‐space sampling trajectories is important for
efficient MRI yet presents a challenging computational problem. This work proposes a …
efficient MRI yet presents a challenging computational problem. This work proposes a …
Gastrointestinal 4D MRI with respiratory motion correction
Purpose Gastrointestinal motion patterns such as peristalsis and segmental contractions can
alter the shape and position of the stomach and intestines with respect to other irradiated …
alter the shape and position of the stomach and intestines with respect to other irradiated …
Real time volumetric MRI for 3D motion tracking via geometry‐informed deep learning
Purpose To develop a geometry‐informed deep learning framework for volumetric MRI with
sub‐second acquisition time in support of 3D motion tracking, which is highly desirable for …
sub‐second acquisition time in support of 3D motion tracking, which is highly desirable for …
Abdominal synthetic CT generation from MR Dixon images using a U-net trained with 'semi-synthetic'CT data
Magnetic resonance imaging (MRI) is gaining popularity in guiding radiation treatment for
intrahepatic cancers due to its superior soft tissue contrast and potential of monitoring …
intrahepatic cancers due to its superior soft tissue contrast and potential of monitoring …
Stochastic optimization of 3D non-cartesian sampling trajectory (SNOPY)
Optimizing 3D k-space sampling trajectories for efficient MRI is important yet challenging.
This work proposes a generalized framework for optimizing 3D non-Cartesian sampling …
This work proposes a generalized framework for optimizing 3D non-Cartesian sampling …
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction
Indirect image registration is a promising technique to improve image reconstruction quality
by providing a shape prior for the reconstruction task. In this paper, we propose a novel …
by providing a shape prior for the reconstruction task. In this paper, we propose a novel …
3D nonrigid motion correction for quantitative assessment of hepatic lesions in DCE‐MRI
M Ippoliti, M Lukas, W Brenner… - Magnetic resonance …, 2019 - Wiley Online Library
Purpose To provide nonrigid respiratory motion‐corrected DCE‐MRI images with isotropic
resolution of 1.5 mm, full coverage of abdomen, and covering the entire uptake curve with a …
resolution of 1.5 mm, full coverage of abdomen, and covering the entire uptake curve with a …
Bulk motion‐compensated DCE‐MRI for functional imaging of kidneys in newborns
J Coll‐Font, O Afacan, JS Chow, RS Lee… - Journal of Magnetic …, 2020 - Wiley Online Library
Background Evaluation of kidney function in newborns with hydronephrosis is important for
clinical decisions. Dynamic contrast‐enhanced (DCE) MRI can provide the necessary …
clinical decisions. Dynamic contrast‐enhanced (DCE) MRI can provide the necessary …
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 …
Modeling intra-fractional abdominal configuration changes using breathing motion-corrected radial MRI
Abdominal organ motions introduce geometric uncertainties to gastrointestinal radiotherapy.
This study investigated slow drifting motion induced by changes of internal anatomic organ …
This study investigated slow drifting motion induced by changes of internal anatomic organ …