High-field MRI of brain cortical substructure based on signal phase
- PMID: 17586684
- PMCID: PMC1913877
- DOI: 10.1073/pnas.0610821104
High-field MRI of brain cortical substructure based on signal phase
Abstract
The ability to detect brain anatomy and pathophysiology with MRI is limited by the contrast-to-noise ratio (CNR), which depends on the contrast mechanism used and the spatial resolution. In this work, we show that in MRI of the human brain, large improvements in contrast to noise in high-resolution images are possible by exploiting the MRI signal phase at high magnetic field strength. Using gradient-echo MRI at 7.0 tesla and a multichannel detector, a nominal voxel size of 0.24 x 0.24 x 1.0 mm3 (58 nl) was achieved. At this resolution, a strong phase contrast was observed both between as well as within gray matter (GM) and white matter (WM). In gradient-echo phase images obtained on normal volunteers at this high resolution, the CNR between GM and WM ranged from 3:1 to 20:1 over the cortex. This CNR is an almost 10-fold improvement over conventional MRI techniques that do not use image phase, and it is an approximately 100-fold improvement when including the gains in resolution from high-field and multichannel detection. Within WM, phase contrast appeared to be associated with the major fiber bundles, whereas contrast within GM was suggestive of the underlying layer structure. The observed phase contrast is attributed to local variations in magnetic susceptibility, which, at least in part, appeared to originate from iron stores. The ability to detect cortical substructure from MRI phase contrast at high field is expected to greatly enhance the study of human brain anatomy in vivo.
Conflict of interest statement
The authors declare no conflict of interest.
Figures





Comment in
-
Phase maps reveal cortical architecture.Proc Natl Acad Sci U S A. 2007 Jul 10;104(28):11513-4. doi: 10.1073/pnas.0704515104. Epub 2007 Jul 3. Proc Natl Acad Sci U S A. 2007. PMID: 17609374 Free PMC article. No abstract available.
References
-
- Vaughan JT, Garwood M, Collins CM, Liu W, DelaBarre L, Adriany G, Andersen P, Merkle H, Goebel R, Smith MB, Ugurbil K. Magn Reson Med. 2001;46:24–30. - PubMed
-
- Robitaille PM, Warner R, Jagadeesh J, Abduljalil AM, Kangarlu A, Burgess RE, Yu Y, Yang L, Zhu H, Jiang Z, et al. J Comput Assist Tomogr. 1999;23:808–820. - PubMed
-
- de Zwart JA, Ledden PJ, van Gelderen P, Bodurka J, Chu R, Duyn JH. Magn Reson Med. 2004;51:22–26. - PubMed
-
- Wiggins GC, Triantafyllou C, Potthast A, Reykowski A, Nittka M, Wald LL. Magn Reson Med. 2006;56:216–223. - PubMed
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources