• Radiomics and Pathomics to predict upstaging of DCIS (5R01CA249016-02); MPIs: Bethany Niell, Mehdi Damaghi, Natarajan Raghunand.
    • Quantitative Imaging Core (2P30CA076292-24); Scientific Director: Natarajan Raghunand.
    • Predicting dose maps for optimal stereotactic radiotherapy of breast cancer metastases to the brain; (State of FL, CoE Evolutionary Therapy); MPIs: Natarajan Raghunand, Kamran Ahmed.
    • Immune signatures in intratumoral habitats and extreme patient survival in high grade glioma; (Moffitt Team Science Award); MPIs: Kathleen Egan, Natarajan Raghunand.



To close the loop between imaging, image analysis, and biomarker/predictive model, so as to inform the optimal task-specific acquisition and reconstruction of raw image data.




Imaging in Prospective Clinical Trials


DW-MRI and DCE-MRI in a Phase 1 clinical trial of Crolibulin 









Ferumoxytol-enhanced MRI as a biomarker of tumor-associated macrophages



Multispectral Analysis of Multiparameter MRI


Multiparameter MRI phenotypes of normal tissues and intratumoral habitats in pancreatic ductal adenocarcinoma





Tissue type maps of normal brain and recurrent glioblastoma at various times post-initiation of treatment (C1D1)




Joint reconstruction of undersampled co-registered mpMRI raw data to accelerate the acquisition of intratumoral habitat maps.












Machine Learning on Multiparameter MRI

Self-Organizing Maps for Differential Diagnosis. Activation maps of two classes of tumors are shown, with the top five neurons most characteristic of each tumor class indicated by green X's and red diamonds. Also shown are the normalized intensities on T2W, T1W unenhanced, T1W-CE arterial phase, and T1W-CE venous phase MRI that correspond to each neuron.






Molecular Imaging

pH and redox imaging using responsive gadolinium complexes