Results 221 to 230 of about 24,230 (259)
A Multi-Task Training Semantic Communication System for Image Reconstruction and Classification Tasks. [PDF]
Wang Z, Li H.
europepmc +1 more source
ABSTRACT Purpose Segmented 3D Gradient and Spin Echo (GRASE) is commonly used in Arterial Spin Labeling (ASL) perfusion imaging. However, it is vulnerable to inter‐shot motion, leading to subtraction errors that cannot be corrected. We developed a retrospective self‐navigated inter‐shot motion correction method for segmented 3D‐GRASE ASL imaging with ...
Minhao Hu +5 more
wiley +1 more source
Tumor-Aware Unsupervised Digital HER2 Immunohistochemistry via Dual Contrastive Learning. [PDF]
Kim DB, Lee JH.
europepmc +1 more source
Laterally Oscillating Trajectory for Undersampling Slices: LOTUS
ABSTRACT Purpose While spiral sampling offers SNR advantages for diffusion MRI, its acceleration with simultaneous multislice remains relatively unexplored. This study introduces Laterally Oscillating Trajectory for Undersampling Slices (LOTUS), which is a 3D spiral‐like k‐space trajectory that aims to minimize g‐factor via controlled incoherent ...
Mayuri Sothynathan +2 more
wiley +1 more source
GSDAT-Net: Enhancing Image Super-Resolution with Grid-Spatial Dual Attention Hybrid Transformer. [PDF]
Liu Y, Wei T, Wang J.
europepmc +1 more source
Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu +9 more
wiley +1 more source
Efficient and rapid generation of high-quality CT images from CBCT using a flow matching model. [PDF]
Li Z +5 more
europepmc +1 more source
ABSTRACT The inherently slow acquisition speed of MRI makes abdominal imaging highly sensitive to respiratory motion artifacts. Since the early days of MRI, the development of respiratory motion compensation techniques has been an active research topic, and this field has seen substantial progress.
Li Feng, Hersh Chandarana
wiley +1 more source
Synthesizing cone-beam projections in radiotherapy using deep learning network for patients with head and neck cancer. [PDF]
Fan Y +8 more
europepmc +1 more source
ABSTRACT Purpose To integrate MR‐based servo navigation in MPRAGE and 3D‐TSE sequences and demonstrate its potential for prospective head motion correction in structural imaging. Methods Repeated modules of servo navigators were inserted before each preparation pulse of MPRAGE and 3D‐TSE sequences (before‐prep) for rapid convergence of motion parameter
Matthias Serger +7 more
wiley +1 more source

