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Imaging cancer and tissue function dynamics over multiple spatial-temporal scales guides the administration and assessment of therapies. Beyond qualitative pictures, images are mineable quantitative data that power artificial intelligence-assisted automation to support radiation oncology workflows.
Our imaging research for personalized oncology seeks to optimize the selection, dosing, and sequencing of therapies, including radiotherapy, chemotherapy, immunotherapy, and targeted therapy. We form multidisciplinary teams of clinicians, scientists, and modelers who conduct clinical trials with anatomic and functional imaging components. We leverage (DE)(CB)CT, PET, SPECT, and MRI modalities for quality improvement and streamlined efficiency during radiation treatment simulation, contouring, planning, delivery and adaptation.