4 papers · 1 filter
Rapid Reconstruction of Extremely Accelerated Liver 4D MRI via Chained Iterative Refinement
Di Xu, Xin Miao, Hengjie Liu +8
Abstract Purpose: High-quality 4D MRI requires an impractically long scanning time for dense k-space signal acquisition covering all respiratory phases. Accelerated sparse sampling…
TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography
Di Xu, Yang Yang, Hengjie Liu +4
Computed tomography (CT) provides high spatial resolution visualization of 3D structures for scientific and clinical applications. Traditional analytical/iterative CT reconstructio…
Exploring Automated Contouring Across Institutional Boundaries: A Deep Learning Approach with Mouse Micro-CT Datasets
Lu Jiang, Di Xu, Qifan Xu +4
Image-guided mouse irradiation is essential to understand interventions involving radiation prior to human studies. Our objective is to employ Swin UNEt Transformers (Swin UNETR) t…
Paired Conditional Generative Adversarial Network for Highly Accelerated Liver 4D MRI
Di Xu, Xin Miao, Hengjie Liu +8
Purpose: 4D MRI with high spatiotemporal resolution is desired for image-guided liver radiotherapy. Acquiring densely sampling k-space data is time-consuming. Accelerated acquisiti…