High-resolution diffusion MRI.
This paper presents a magnetic resonance imaging method that can provide high-resolution images characterizing water diffusion in biological tissues. These images contain information about tissue microstructure, thereby providing a useful means to monitor physiological changes. The proposed method overcomes the long-standing problem of limited signal-to-noise ratio with diffusion MRI by using penalized maximum-likelihood reconstruction. Experiments performed on a mouse brain illustrate the ability of the technique to elucidate high resolution structural detail that would not be visible using other non-invasive approaches.
Haldar
Justin P
JP
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 1406 West Green Street, Urbana, IL 61801, USA. haldar@uiuc.edu
Liang
Zhi-Pei
ZP
D000818:Animals; D001921:Brain / Q000502:physiology; D003627:Data Interpretation, Statistical; D004058:Diffusion; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005583:Fourier Analysis; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D051379:Mice; D014867:Water / Q000032:analysis
D014867:Water