Zhi-Pei Liang

Zhi-Pei Liang (M’92–SM’98–F’06) received the Ph.D. degree in biomedical engineering from Case Western Reserve University, Cleveland, OH, USA, in 1989. He is currently the Franklin W. Woeltge Professor of electrical and computer engineering at the University of Illinois at Urbana-Champaign, Urbana, IL, USA. His research interests include spin dynamics, image formation theory, algorithms, and biomedical applications. Dr. Liang served as the President of the IEEE Engineering in Medicine and Biology Society from 2011 to 2012. He is a Fellow of the International Society of Magnetic Resonance in Medicine and American Institute for Medical and Biological Engineering. He was elected to the International Academy of Medical and Biological Engineering in 2012.

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
Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise and B0 Field Inhomogeneity
Magnetic resonance spectroscopic imaging (MRSI) is a unique tool for molecular imaging without exogenous contrast agents. For example, MRSI allows for mapping many brain metabolites, such as N-acetylaspartate, Choline, and Creatine, which provide useful information about neuronal viability, cellular membrane... 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