Compact representations of dynamic liver MRI

Completed Research Project
Investigator(s): 
Pascal Spincemaille, Ph.D.
Related Institute: 
Last Updated: 
June 9, 2022

Award or Grant:  R01 CA181566-01A, National Institutes of Health (NIH)

The goal of the proposed research is to develop a sensitive and early measurement of treatment response in hepatocellular carcinoma (HCC), the most prevalent malignant liver cancer.  

Relevance: This research will result in a quantitative measure of the malignancy of liver cancer, whose burden on the public health is expected to continue to increase during the next decade. This will improve liver allocation for transplantation, and allow a quantification of the response to treatment, while reducing the need for liver biopsy. 

Techniques used: magnetic resonance imaging (MRI) acquisition, reconstruction and post-processing, MRI pulse sequence development, accelerated imaging, biophysical modeling, quantitative susceptibility mapping (QSM), MRI relaxation rate mapping, dynamic contrast enhanced imaging, liver biopsy, liver transplantation, treatment response measurement, clinical research 

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065