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
John C. Roeske, PhD
Stritch School of Medicine Loyola University Chicago, Cardinal Bernardin Cancer Center, Loyola University Chicago
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...
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...
Spectral imaging confers several benefits such as material decomposition, increased soft tissue contrast, and metal artifact reduction. Novel methods currently under evaluation for adoption to linac onboard imaging include a kV dual-layer imager investigated...