Our research emphasizes three dimensions: 1) Innovate; 2) Collaborate; 3) Translate.
Specifically, we pursue interdisciplinary research towards enhanced quantitative image generation and analysis methods for tomographic medical imaging applications (PET, SPECT, optical, acoustic) including emphasis on multi-modality imaging (e.g. PET/MRI, PET/CT). Our continuing efforts include:
- Translation of novel imaging methods for enhanced diagnosis, prognosis and treatment response assessment in cancer patients
- Whole-body quantitative (parametric) PET/CT imaging
- Partial volume correction as applied to amyloid and tau PET imaging, for improved clinical assessment and quantitation
- Statistical tomographic image reconstruction algorithms (including tomosynthesis; e.g. as applied to ultrasound imaging)
- Texture and shape analysis (radiomics), and radiogenomics, as applied to nuclear medicine imaging (PET, SPECT)
- Optical and photoacoustic imaging through the intact brain for in vivo assessment of brain network activity
- Cardiac and/or respiratory motion compensation methods (4D/5D imaging)
- Combination of mathematical kinetic models with image reconstruction algorithms to achieve direct 4D parametric imaging; e.g. beta-amyloid imaging in Alzheimer’s disease.
- Adaptive, task-based modeling and incorporation of resolution degrading phenomena within image generation methods
- Monte Carlo simulation approaches, using high performance computing and mathematical anthropomorphic models
- Application of numerical observer studies as preliminary substitute for human observers for optimization and validation