Projects | Computational Radiotherapy Lab | Washington University in St. Louis

Multi-physician delineation clearly shows varying delineation variability with tumor-normal tissue interface type.

Machine Learning in Radiation Oncology

Learning algorithms to solve medical physics problems.

Steps in the workflow for noninvasive cardiac radioablation.

Noninvasive Cardiac Radioablation

Improving radiosurgery for ventricular tachycardia.

Schematic of an adaptive lung radiation therapy trial. Left side is the initial plan. Right side is the adapted plan, with the original target receiving 66 Gy and the residual gross disease receiving up to 78 Gy.

Adaptive Radiotherapy for Lung Cancer

Closing the loop by incorporating information during treatment to adjust the treatment plan.

Left: registration process includes mass-preserving registration of the lung parenchyma, segmentation and registration of the lung lobes, and segmentation and registration of the pulmonary vessels.

caliper

Deformable image registration of large geometric changes in the lung.