Goal: predict a patient’s breathing cycle to account for motion during planning and treatment
Researchers is being conducted on how to improve treatment of tumors in the lung and in the liver while these organs undergo motion and shape change due to breathing during treatment. M-reps will be investigated to segment the target organ and nearby organs at risk in CT images acquired at multiple intervals over one ore more respiratory cycles. A 4D model will be built from these segmentations to predict changes across the patient’s breathing cycle and to account for these changes during planning and treatment delivery. External collaborators include Memorial Sloan Kettering Cancer Center.