Markerless tumor tracking (MTT) using single-energy (SE) kilovoltage (kV) imaging is being considered for lung tumor motion management. However, bone overlap with tumor can reduce visibility and tracking accuracy. Dual-energy (DE) imaging suppresses bone and...
Author profile
Ha Nguyen
Stritch School of Medicine Loyola University Chicago, Cardinal Bernardin Cancer Center, Loyola University Chicago
Assessing the Reliability of Markerless Tumor Tracking Using Machine Learning Models
Poster Program · Therapy Physics
Attribution Energy As a Companion Interpretability Metric for Grad-CAM In CBCT Image-Quality Assessment
Deep learning models have shown promise for image-quality rating tasks, yet the visual cues they rely on are often difficult to interpret. Grad-CAM and related saliency methods are commonly used to visualize attribution, but these heatmaps often yield unclear...
Poster Program · Therapy Physics
Open-Source Platform for Non-Reference-Based Quality Assessment of Image Registration
Deformable image registration (DIR) is integral to imaging alignment in radiation therapy, yet quality assurance (QA) on DIR performance remains challenging when reference contours are unavailable. In such situations, clinical decisions on acceptance of DIR r...
Poster Program · Therapy Physics