Yudu Li

Department of Electrical and Computer Engineering and the Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign.

Associated articles

TBME, Featured Articles
A Subspace Approach to Spectral Quantification for MR Spectroscopic Imaging
Magnetic resonance spectroscopic imaging (MRSI) has been recognized as a potentially powerful tool for label-free in vivo molecular imaging. Spectral quantification is an essential step in deriving quantitative molecular information from experimental MRSI data. However, obtaining accurate spectral estimates is... Read more
TBME, Featured Articles
High-Resolution Dynamic 31P-MR Spectroscopic Imaging for Mapping Mitochondrial Function
Abnormal mitochondrial metabolism is a hallmark of many prevalent diseases such as diabetes and cardiovascular disease; however, current understanding of mitochondrial function is mostly gained from studies on isolated mitochondria under nonphysiological conditions. This work presents a novel high-resolution dynamic 31P magnetic resonance spectroscopic imaging method that synergistically integrates physics-based models of spectral structures, biochemical modeling of molecular dynamics, and subspace learning, for metabolic mapping at high-spatiotemporal resolution. It enables in vivo imaging of phosphocreatine resynthesis rates, a well-established index of mitochondrial oxidative capacity, thus providing a powerful tool for longitudinal assessment of mitochondrial function in disease progression... Read more