
pmid: 18001952
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.
Fourier Analysis, Brain, Water, Diffusion, Mice, Diffusion Magnetic Resonance Imaging, Imaging, Three-Dimensional, Data Interpretation, Statistical, Image Processing, Computer-Assisted, Animals
Fourier Analysis, Brain, Water, Diffusion, Mice, Diffusion Magnetic Resonance Imaging, Imaging, Three-Dimensional, Data Interpretation, Statistical, Image Processing, Computer-Assisted, Animals
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
