To enhance the image quality of low-resolution 3D cine magnetic resonance (MR) images acquired at 2Hz by applying two single-image super-resolution deep-learning neural networks, so that the enhanced 3D cine images serve as better templates for more accurate...
Author profile
Xingyu Nie, PhD
University of Kentucky/UK HealthCare
Comparison of Two Deep-Learning Neural Networks of Single-Image Super-Resolution to Enhance Low-Resolution 3D Cine MR Images for Reconstruction of Time-Resolved 4DMRI
Poster Program · Therapy Physics
Preliminary Evidence of Natural-Respiration Breath Hold (NRBH) Superior to Deep-Inspiration Breath Hold (DIBH) for Radiotherapy of Abdominal Cancer
To determine whether natural-respiration breath hold (NRBH) should be used to freeze organ motion rather than deep-inspiration breath hold (DIBH) in abdominal cancer treatments, as NRBH should be more reproducible, retaining organ normal size, shape, and posi...
Poster Program · Therapy Physics
Toward Individualized FDG PET/CT Protocols: Evaluating Dose–Time–Patient Size and Image Quality Relationships In Clinical Practice
To evaluate how patient size, injected FDG dose, and acquisition time relate to routine whole-body PET/CT image quality, and to assess whether a simple dose–time–weight index can guide individualized protocols for more consistent noise performance.
Proffered Program · Radiopharmaceuticals, Theranostics, and Nuclear Medicine