Nicole Seiberlich

Nicole Seiberlich, Ph.D., is a Professor in the Department of Radiology and Biomedical Engineering at the University of Michigan. She is affiliated with the University of Michigan Medical School and leads the Seiberlich Lab, focusing on developing advanced MRI techniques for rapid and quantitative imaging. Her research emphasizes improving cardiac, abdominal, and neurological MRI, particularly at low-field strengths (e.g., 0.55 T), to enhance clinical accessibility and safety. Key areas include MR fingerprinting, image reconstruction algorithms, and low-field MRI optimization.

Education details are not explicitly listed, but her work reflects expertise in biomedical engineering and radiology. Research interests span quantitative imaging, MRI safety, and translational applications in cardiology and neurology. Notably, her lab has pioneered techniques like Rosette MRI trajectories and deep learning-driven image reconstruction.

Recent work includes optimizing low-field MRI for clinical use, evaluating RF heating in neurostimulation devices, and advancing cardiac MRI fingerprinting for disease discrimination. Her projects bridge engineering and clinical medicine, addressing unmet needs in imaging speed, safety, and diagnostic accuracy. The lab collaborates across disciplines to translate innovations into clinical practice.

Advising details are not provided here, but her research outputs suggest active mentorship of graduate students and postdocs in biomedical imaging. Grants and funding sources are implied through her high-impact publications but not explicitly stated. The lab also explores applications in prostate biopsies, liver perfusion, and synthetic late gadolinium enhancement imaging.

Publications highlight contributions to MRI physics, algorithm development, and clinical validation. Her work underscores the potential of low-field MRI to expand imaging access while maintaining diagnostic quality, challenging traditional assumptions about field strength requirements.