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Radonc/BME Medical Image and
Computational Analysis Laboratory |
Ongoing Research Projects
| Modeling cancer cell migration in the brain with MR-DTI (Human)
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| Histological validation of MR-DTI model in animals
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| Small tumor detection with 3D template matching |
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Our lab is interested in discovering and applying novel image analysis and image-based computational techniques for improved detection, follow-up and treatment of cancer. Much of our work is highly translational, with direct application to the treatment of patients within the Department of Radiation Oncology. We also do perform animal and in vitro studies at times to validate and improve upon our discoveries.
Novel 3D tumor detection approaches are being applied for lung, brain and breast screening, and in the future for virtual colonoscopy. Finite element modeling and deformable image registration have been used to quantify the deformation during needle biopsy. Quantitative analysis of CT image changes following radiation treatment is being used to assess radiation damage to healthy tissue surrounding lung tumors with eventual use in assaying new drugs to protect normal tissue from radiation. MR diffusion-weighting imaging and MRI spectroscopy is being used in both patient and animal studies to model microscopic tumor spread for improved treatment of aggressive brain cancers.
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