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  Direct visualization of the subthalamic nucleus and its iron distribution using high-resolution susceptibility mapping

Schäfer, A., Forstmann, B. U., Neumann, J., Wharton, S., Mietke, A., Bowtell, R., et al. (2012). Direct visualization of the subthalamic nucleus and its iron distribution using high-resolution susceptibility mapping. Human Brain Mapping, 33(12), 2831-2842. doi:10.1002/hbm.21404.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0012-06BF-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-CC6D-E
Genre: Journal Article

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 Creators:
Schäfer, Andreas1, Author              
Forstmann, Birte U.2, Author
Neumann, Jane1, Author              
Wharton, Sam3, Author
Mietke, Alexander1, Author
Bowtell, Richard3, Author
Turner, Robert1, Author              
Affiliations:
1Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
2Department of Psychology, University of Amsterdam, the Netherlands, ou_persistent22              
3Sir Peter Mansfield Magnetic Resonance Centre, University of Nottingham, United Kingdom, ou_persistent22              

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Free keywords: STN; Subthalamic nucleus; SWI; Iron; Susceptibility; Phase
 Abstract: Histological studies have shown a relatively high iron concentration in the subthalamic nucleus (STN). T2- and T2*-weighted sequences have previously been used to visualize the STN in vivo. The phase information of gradient-echo images reflects the magnetic tissue properties more directly, e.g., iron is more paramagnetic than water. Unfortunately, phase images suffer from non-local effects and orientation dependency. The goal of this study is to delineate the STN more precisely using susceptibility maps, calculated from phase images, which directly index magnetic tissue properties while removing the non-local effects and orientation dependency. Use of 7T MRI enables high spatial resolution with good signal to noise ratio (SNR). Eight healthy subjects were scanned at 7T using a high-resolution 3D gradient-echo sequence. Susceptibility maps were calculated from phase data using a thresholding Fourier approach and a regularization approach using spatial priors. The susceptibility maps clearly distinguish the STN from the adjacent substantia nigra (SN). Their susceptibilities are quantitatively different (0.06 and 0.1 ppm for the STN and SN, respectively). These maps allowed the STN, SN, and the red nucleus to be manually segmented, thus providing 3D visualization of their boundaries. In sum, the STN can be more clearly distinguished from adjacent structures in susceptibility maps than in T2*-weighted images or phase images.

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Language(s): eng - English
 Dates: 20112011-09-202012-12
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1002/hbm.21404
PMID: 21932259
Other: Epub 2011
 Degree: -

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Title: Human Brain Mapping
Source Genre: Journal
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Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 33 (12) Sequence Number: - Start / End Page: 2831 - 2842 Identifier: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686