Atlee Witt
I am interested in neuroimaging and using novel MRI imaging techniques to better understand the pathophysiology of disease in the brain and spinal cord.
I am interested in neuroimaging and using novel MRI imaging techniques to better understand the pathophysiology of disease in the brain and spinal cord.
Lung perfusion using spectral analysis of dynamic flouoroscopy; 3D FFT correction of partial volume effect in PET imaging; Zr-89 panitumumab PET in head and neck cancer; modeling of C-11 glutamine and F-18 FSPG in colon cancer; assessment of DSPECT attenuation correction in nuclear cardiology
Improved workflow for radioisotope therapy for metastatic prostate cancer (Lu-177 PSMA) and neuroendocrine tumors (Lu-177 DOTATATE)
Some projects that I'm involved with look at the links between socioeconomic backgrounds, home learning activities, and children's brain development and academic outcomes; and the links between instructional materials, learning strategies, and the brain performance-monitoring and executive systems
Children's reading outcomes are a complex product of development and environment, brain plasticity, and learning structure. I'm excited to be involved in projects looking at these areas of children's development, as well as efforts supporting individuals facing unfavorable circumstances and life headwinds.
I research metabolism in the tumor microenvironment, utilizing in vivo bioluminescent imaging to monitor growth dynamics.
Graduate Student 2020 thru 2023
Current: Junior Software Engineer, Deka Research & Development
My project focuses on developing treatment pipelines for focused ultrasound neuromodulation through simulations and optical tracking, and studying the interactions between ultrasound and the brain.
I am interested in transcranial focused ultrasound and its applications for studying complex cognitive functions.
Neuroimaging, tissue micro-structure imaging, diffusion MRI
My current work involves MRI method development to examine white matter plasticity in different disease states. We specifically look at axonal properties via simulations and optimizations of parameters in diffusion MRI processes such as encoding gradient waveforms, diffusion time, diffusion coefficient.
Learning how to program pulse sequences with a focus on Chemical Exchange Saturation Transfer (CEST)
Working on using deep learning models to isolate solute pools from a Z-spectrum obtained using the CEST technique