Focus Area 1: Quantitative imaging of cancer
In the past, imaging has been predominantly qualitative. However, when the aim is to characterize biological properties of tumors or to quantify treatment response, having quantifiable imaging data becomes critically important. Image quantification is a very complex problem - it requires in-depth understanding of the performance of imaging modalities and requires optimal incorporation of imaging into clinical trials. Most of our research involves quantification of molecular imaging techniques, predominantly positron emission tomography (PET) and dynamic contrast enhanced CT (DCE-CT).
Projects
- Comprehensive assessment of PET imaging uncertainties (Ngoneh Jallow)
- Kinetic modeling of radiotracer uptake into tumors (Urban Simončič)
- Quantitative vascular imaging (Matt La Fontaine)
