ABSTRACT
Quantitative imaging is omnipresent in the study of cancer. Current imaging approaches can provide measurements of tumor size, cellularity, vascularity, and metabolism. The gridded nature of imaging data makes it well suited for informing quantitative modeling efforts. In this chapter, we review modeling approaches that utilize medical imaging data from diffusion-weighted magnetic resonance imaging (DW-MRI), contrast enhanced MRI (CE-MRI), diffusion tensor imaging (DTI), contrast enhanced computed tomography (CE-CT), 18F-fludeoxyglucose (18FDG) positron emission tomography (PET), 18F-fluoromisonidazole (18FMISO) PET, 18F-Flurodeoxythymidine (18FLT) PET, and 61Cu-copper(II)-diacetyl-di(N4 -methylthisemicarbazone) (61Cu-ATSM) PET to initialize and calibrate biophysical models of tumor growth. We conclude this chapter with a discussion of the future directions at the interface of biophysical modeling and quantitative imaging.
