The Laboratory of Mathematics in Imaging (LMI) is focused on the application of mathematical theory, analysis, modeling, and signal processing to medical imaging applications. Research projects within the group cover computational and visual display research, and research on novel imaging and treatment methods within the BWH Department of Radiology. Modeling, and the development of novel and efficient technology based on those models, lie at the heart of our research goals.
Members of the LMI collaborate with other departments within Brigham and Women's Hospital, with other researchers at the Harvard Medical School, with local universities such as Harvard, MIT, Tufts, and Northeastern, and with gifted clinicians, researchers, and engineers throughout the world.
What is our main mission?
Our mission is to improve human health by improving imaging technology used in diagnosis, analysis, and treatment of disease. Our primary expertise is in the application of advanced mathematical models to improve visualization and analysis of raw imaging data. Examples include
- Diffusion MRI
- Image registration
- Data visualization
- Efficient data acquisition
The research at the LMI
The Laboratory of Mathematics in Imaging combines strengths in computer science and mathematics with radiology and neuroscience. The combination of theoretical and clinical expertise supports the overall research mission of the LMI: develop quantitative and visual methods for analyzing medical imaging data, and then refine and apply these methods to real-life applications. These applications include, but are not limited to:
- White matter architecture from diffusion MRI in Schizophrenia
- White matter architecture from diffusion MRI in Autism
- White matter architecture from diffusion MRI in traumatic brain injury (TBI)
- Automated generation of patient-specific vasculature models
- Computer-assisted endovascular navigation for the treatment of brain aneurysms
- Image-data fusion methods for MR-guided Cardiac Ablation
- Automated image analysis tools in Chronic Obstructive Pulmonary Disease (COPD)