Faculty

Contact Information

Guillaume Madelin, PhD

Associate Professor
I am developing methodologies for quantitative metabolic X-nuclei magnetic resonance imaging (MRI) in humans in vivo. X-nuclei MRI is based on the detection of nuclei other than the nucleus of hydrogen (or proton, 1H) from water molecules in the body, as is used in standard MRI. MRI of the sodium (23Na), phosphorus (31P), deuterium (2H), or oxygen (17O) nuclei, for example, can provide brand new metabolic information in tissues as a complement to standard structural 1H MRI. In particular, imaging of the endogenous Na+ ion content and relaxation properties with MRI can help assess fundamental biochemical information related to tissue ionic homeostasis and cellular energetic metabolism, which are not available with other imaging technique in vivo. Overall, X-nuclei MRI could therefore generate unique imaging biomarkers for detecting early signs of loss of tissue viability due to the disruption of the cellular metabolism in many diseases, but also for monitoring the early effects of therapies targeting different aspects of this cellular metabolism.

Research Projects

Multinuclear MRI to Assess Joint Homeostasis after Knee Injury

This study aims to develop a predictive model for post-traumatic osteoarthritis (PTOA) progression following anterior cruciate ligament (ACL) injury by integrating imaging, biological, and biomechanical markers to improve understanding, therapeutic targeting, and treatment monitoring.

MSK

Multinuclear MRI to Monitor Breast Cancer Therapy

This project develops a multinuclear MRI technique using sodium (23Na) and hydrogen (1H) MR fingerprinting at 3 T to create imaging biomarkers for assessing early breast cancer response to neoadjuvant chemotherapy (NACT) and guiding treatment decisions.

Breast

Multinuclear Fingerprinting

This project develops a noninvasive MRI technique called multinuclear fingerprinting (MNF) at 7 T, combining hydrogen (1H) and sodium (23Na) magnetic resonance fingerprinting with a super-resolution algorithm to create multi-parametric structural and metabolic maps of the human brain, offering insights into its morphology, physiology, and disorders.

Quantitative MRI

Genomic and Imaging Markers to Understand and Predict Progression of Joint Damage After Injury

This study combines genomic analysis and diffusion tensor imaging to identify predictive biomarkers for the risk of developing post-traumatic osteoarthritis (PTOA) following anterior cruciate ligament (ACL) injury in young adults, aiming to improve prevention and therapy development.

MSK

Neuroimaging Core of NYU Langone’s Alzheimer’s Disease Research Center

The neuroimaging core of NYU Langone’s Alzheimer Disease Research Center supports research on Alzheimer’s and related dementias by developing and applying advanced imaging techniques to aid early diagnosis, track disease progression, and inform novel diagnostics and treatments.

Aging