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Xenia Ray Lab


Dr. Ray’s​ research is focused on the development of algorithms to help determine when automated re-planning should be performed in patients undergoing radiotherapy based on changes detected on daily cone-beam CT images. Such algorithms are vital to the optimal clinical implementation of adaptive radiotherapy. She is also working to develop automated tools to facilitate big-data analyses of retrospective clinical data included batch automated replanning via RapidPlan, plan comparison, DVH extraction, and timing data.

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PUBLICATIONS

                   
 

Lab News

Lab News

                       

Featured Articles

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Predicting Adaptive Radiotherapy Benefit for Cervical Cancer Patients

Initial plan metrics correlated with dosimetric benefits from daily online ART.​

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Evaluating a Physics-led Adaptive Workflow for Cervical Cancer

Simulated adaptive treatments were accurately contoured and completed in < 20 minutes by trained physicists.

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Commissioning the Adaptive Process for an O-ring Linac

Dose calculations on daily synthetic CTs for adaptive treatments were accurate under multiple clinical scenarios.

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