Abstract #1933

Development and Implementation of a Matlab-based multi-modal 3D visualization, co-registration and quantification platform for assessing brain tumor physiology and metabolism

Gaurav Verma¹, Suyash Mohan¹, Sanjeev Chawla¹, John Y.K. Lee², Sumei Wang¹, Andrew Maudsley³, Steven Brem², and Harish Poptani⁴

¹Department of Neuroradiology, University of Pennsylvania, Philadelphia, PA, United States, ²Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States, ³Department of Radiology, University of Miami, Miami, FL, United States, ⁴Department of Cellular and Molecular Physiology, University of Liverpool, Liverpool, United Kingdom

A 3D visualization, co-registration and quantification platform was developed in Matlab to combine anatomical imaging with physiological and metabolic data from diffusion tensor, perfusion-weighted and echo-planar spectroscopic imaging. This data can be co-registered across modalities and imaging time-points to provide detailed information about the spatial extent of a brain tumor. 3D visualization was applied in datasets from patients undergoing neurosurgery and a separate cohort of patients undergoing long-term Tumor Treating Fields (TTFields) therapy. This visualization platform could have an impact in the planning of neurosurgery and the placement and monitoring of location-sensitive techniques like TTFields.

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