Medical imaging

My lab develops magnetic resonance imaging (MRI) techniques with an emphasis on quantitative imaging to improve the diagnosis of early disease and the effect of treatment. Main areas of disease focus are cancer, cardiovascular, and metabolic disorders. A focus of our work is clinical translation, thus the methods that we developed provide high quality and accurate quantitative imaging within the time constraints of a clinical MRI scan. Support for our work is provided by the National Institutes of Health, the Arizona Biomedical research Centre, the American Heart Association, and industry and our technology is distributed worldwide.

I develop new optical imaging devices that can detect cancer at the earliest stage. Optics has the resolution and sensitivity to find these small, curable lesions, and we design the endoscope that provide access to organs inside the body. .

We are developing low-cost in vivo microscopy devices that can visualize cellular details of human tissues in vivo and help disease diagnosis and treatment in low-resource settings, high-speed tissue microscopy technologies that can examine entire organ under risk of having malignant diseases and detect small, early-stage lesions, and miniature microscopy devices that have the potential to examine anatomically-challenging human organs and facilitate integration of microscopic imaging with other imaging modalities.

My research examines neural factors which affect language functions, and how these change across life-span and are influenced by stroke, brain injury and neurodegenerative disorders. In my work, I use combination of cognitive measures and multimodal neuroimaging techniques (fMRI, EEG/ERPs, MEG). I am also interested in recovery of function, and treatment approaches involving speech-language therapy in combination with noninvasive brain stimulation techniques.

I develop mathematics of biomedical imaging. All modalities of tomography imaging rely heavily on mathematical algorithms for forming an image. I develop the theory and the algorithm enabling this technology.

Matthew Kupinski works in diverse areas of imaging including x-ray, gamma-ray, diffuse optical, magnetic resonance, and neutron imaging.

I analyze MRI images to understand more about how human language works. We use functional MRI to determine which brain regions are involved in different language tasks. We also look at diffusion MRI to learn about the quality of the wiring between regions.

We develop cutting-edge imaging technology, integrating light, ultrasound and electricity, to diagnose and treat diseases ranging from epilepsy to breast cancer. Novel sources for ultrasound contrast include optical and microwave absorption, mechanical strain, and electrical current. We visualize electrical brain “stormsˮ during uncontrollable seizures and envision “smartˮ photoacoustic agents that seek-and-destroy deadly tumors.