Abdominal Image-Guided Interventions Laboratory
The Abdominal Image-Guided Interventions Laboratory is a multi-modality laboratory that is engaged in cutting-edge research involving interventional strategies for the minimally- or non-invasive treatment of a variety of benign and malignant diseases. We also study imaging solutions, particularly those that have high potential to guide, monitor and assess image-guided interventions.
Cardiovascular Fluid Dynamics Lab
The UW Cardiovascular Fluid Dynamics Laboratory focuses its research on fluid dynamics analysis of physiological and pathological flows using a combination of medical imaging, additive manufacturing, and computational fluid dynamics. The results of the lab are used to develop improved diagnostic and surgical planning techniques through a collaboration with physicians.
Contrast Agent Lab
The Contrast Agent Lab is involved in the design, synthesis, and evaluation of novel targeted molecular imaging agents for computed tomography, magnetic resonance, and nuclear medicine including PET. Our design strategy is based on a biochemical approach, whereby naturally occurring compounds known to be stored and or metabolized in the organ or tissue of interest serve as carriers for the radiologic moiety.
IDiA Lab
IDiA Lab focuses on developing neuroinformatics techniques using machine learning, statistical modeling, and pattern recognition for applications in brain tumors and neurological disorders. One of the primary focuses of IDiA lab is to identify computerized image-based (also known as radiomic) phenotypes, and their associations with genomics (radiogenomics) and histo-pathology (radio-pathomics) for disease characterization.
Integrated Systems Neuroimaging Laboratory
The Integrated Systems Neuroimaging Laboratory aims to understand and non-invasively image the molecular and cellular drivers of neurocognitive, neurodegenerative, and neuropsychiatric illness across the lifespan. Our methods span the breadth and depth of the modern neuroscience and neuroimaging techniques from molecular neuroscience and animal behavior, advanced quantitative MRI and PET/MR technologies, to state-of-the-art machine and deep learning data science approaches.
Learning Algorithms in Radiology Lab
The Learning Algorithms in Radiology (LAIR) Lab focuses on developing cutting-edge artificial intelligence algorithms that improve radiology practices. This includes developing image analysis algorithms, large language models, and multimodal vision-language models.
Liver Imaging Research Program
The Liver Imaging Research Program (LIRP) is a diverse multidisciplinary group of physicists, engineers, radiologists, surgeons, hematologists, endocrinologists, pathologists and pediatricians interested in the advancement of human health through improved abdominal imaging technologies. We focus on development and translation of new imaging methods, particularly MRI, for improved detection and quantification of diseases affecting the abdomen.
Magnetic Resonance Technology and Use Design
The Magnetic Resonance Technology and Use Design (MRTUD) group focuses on building technology that is broadly impactful and holistically designed. We develop novel ways to sample data and reconstruct MRI images that are optimized for clinical impact, and combine it with approaches to greatly improve the operation and utilization of MRI in clinical settings.
Molecular Imaging / Magnetic Resonance Technology Lab (MIMRTL)
The Molecular Imaging / Magnetic Resonance Technology Lab (MIMRTL) within the Department of Radiology is located in the Wisconsin Institutes for Medical Research (WIMR) Building at the University of Wisconsin, Madison School of Medicine and Public Health. This group seeks to advance MRI, PET/MR, PET/CT, and other imaging techniques and technology to gain new structural and functional information to better detect and assess human disease.
Neuroimaging Research Program
The Neuroimaging Research Program within the Department of Radiology is a source of comprehensive neuroimaging research and advanced neuroimaging clinical services such as fMRI, DTI, and more, for the entire neuroimaging community at the University of Wisconsin–Madison. This program provides access to a wide variety of current modalities available within the Department of Radiology and…
Neuro-Oncological Imaging Program
The Neuro-Oncological Imaging Program is tasked with improving the detection of brain malignancies using advanced multi-modality neuroimaging, including hybrid brain PET/MRI, in the clinical care of patients. Other goals of the program are to facilitate preclinical and clinical research initiatives across various multidisciplinary neurological subspecialties, including quantitative MR imaging, PET radiotracers, targeted therapies, and theranostics agents. This work spans the full spectrum from bench to bedside.
Quantitative Imaging Methods Lab
The Quantitative Imaging Methods Lab focuses on multidimensional signal processing, estimation theory and algorithms, and the development of imaging techniques for rapid and quantitative MRI. We are particularly interested in contributing to transforming MRI into a truly quantitative imaging modality. By measuring physically meaningful properties of tissue, our group aims to develop quantitative imaging biomarkers to improve the detection, staging and treatment monitoring of various diseases.
SUMMIT Lab
The SUMMIT lab is a multi-disciplinary team striving to find effective minimally invasive treatments for common musculoskeletal tendon injuries such as tennis elbow, patellar tendinitis, Achilles tendinitis and plantar fasciitis. Using a Team Science approach, we incorporate tools such as biomechanical sensors, special ultrasound measurements, and state-of-the-art MRI to stratify disease severity and assess healing response.
Tumor Ablation Lab
Our primary goal is to develop minimally invasive techniques to treat cancer. We use small-diameter applicators to destroy malignant tissue while minimizing damage to normal, healthy tissue. We are a cross-disciplinary group, working to take ideas from the bench to the clinic—from conceptualization to computer modeling, construction of prototypes and preclinical testing, to optimization and clinical trials.