Research Information
Research Interests
- Magnetic resonance imaging and spectroscopy
- In vivo metabolic imaging in diabetes and stroke
- Magnetic resonance fingerprinting in pre-clinical studies
Our laboratory is devoted to the development of magnetic resonance imaging (MRI) and spectroscopic imaging (MRSI) methods for integrative understanding of several prevalent diseases such as diabetes, stroke, and heart diseases. These diseases share a common underlying cause - metabolic dysfunction. We aim to develop state-of-the-art MRI and MRSI methods for noninvasive characterization of various aspects of tissue metabolism, from substrate delivery to oxygen utilization. Some of these technologies hold the potential for early detection of metabolic dysfunction. We also collaborate with investigators in basic science research to apply these technologies to laboratory animal models, including genetically engineered mouse models, for better understanding of the mechanisms leading to abnormal metabolism, and the response to therapeutic interventions.
Awards and Honors
Professional Memberships
Publications
- B Clifford, Y Gu, Y Li, Y Liu, K Kim, S Huang, Y Li, F Lam, Z-P Liang, X Yu. High-resolution dynamic 31P-MR spectroscopic imaging for mapping mitochondrial function. IEEE TBME, 67:2745-2753, 2020. PMID: 32011244
- Y Zhang, K Xu, Y Liu, BO Erokwu, P Zhao, JC LaManna, GW Farr, CA Flask, WF Boron, X Yu. Increased cerebral vascularization in response to decreased water exchange across the blood-brain barrier in aquaporin-4 knockout mice. PLOS ONE, 14:e0218415, 2019. PMID: 31220136
- Y Gu, C Wang, C Anderson, Y Liu, H Hu, ML Johansen, D Ma, Y Jiang, C Ramos-Estebanez, S Brady-Kalnay, MA Griswold, CA Flask, and X Yu. Fast magnetic resonance fingerprinting for dynamic contrast-enhanced studies in mice. Magn. Reson. Med., 80:2681-2690, 2018. PMID: 29744935
- CY Wang, Y Liu, S Huang, MA Griswold, N Seiberlich, X Yu. 31P magnetic resonance fingerprinting for rapid quantification of creatine kinase reaction rate in vivo. NMR in Biomed., 30:e3786, 2017. PMID: 28915341