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  Optimized multi-echo gradient-echo magnetic resonance imaging for gray and white matter segmentation in the lumbosacral cord at 3 T

Büeler, S., Yiannakas, M. C., Damjanovski, Z., Freund, P., Liechti, M. D., & David, G. (2022). Optimized multi-echo gradient-echo magnetic resonance imaging for gray and white matter segmentation in the lumbosacral cord at 3 T. Scientific Reports, 12(1): 16498. doi:10.1038/s41598-022-20395-1.

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Büeler, Silvan1, Author
Yiannakas, Marios C.2, Author
Damjanovski, Zdravko1, Author
Freund, Patrick3, 4, 5, Author                 
Liechti, Martina D.1, Author
David, Gergely1, 2, Author
Affiliations:
1Department of Neuro-Urology, Balgrist University Hospital, Zurich, Switzerland, ou_persistent22              
2NMR Research Unit, Department of Neuroinflammation, Institute of Neurology, University College London, United Kingdom, ou_persistent22              
3Balgrist Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland, ou_persistent22              
4Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
5Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, United Kingdom, ou_persistent22              

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 Abstract: Atrophy in the spinal cord (SC), gray (GM) and white matter (WM) is typically measured in-vivo by image segmentation on multi-echo gradient-echo magnetic resonance images. The aim of this study was to establish an acquisition and analysis protocol for optimal SC and GM segmentation in the lumbosacral cord at 3 T. Ten healthy volunteers underwent imaging of the lumbosacral cord using a 3D spoiled multi-echo gradient-echo sequence (Siemens FLASH, with 5 echoes and 8 repetitions) on a Siemens Prisma 3 T scanner. Optimal numbers of successive echoes and signal averages were investigated comparing signal-to-noise (SNR) and contrast-to-noise ratio (CNR) values as well as qualitative ratings for segmentability by experts. The combination of 5 successive echoes yielded the highest CNR between WM and cerebrospinal fluid and the highest rating for SC segmentability. The combination of 3 and 4 successive echoes yielded the highest CNR between GM and WM and the highest rating for GM segmentability in the lumbosacral enlargement and conus medullaris, respectively. For segmenting the SC and GM in the same image, we suggest combining 3 successive echoes. For SC or GM segmentation only, we recommend combining 5 or 3 successive echoes, respectively. Six signal averages yielded good contrast for reliable SC and GM segmentation in all subjects. Clinical applications could benefit from these recommendations as they allow for accurate SC and GM segmentation in the lumbosacral cord.

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Language(s): eng - English
 Dates: 2022-05-222022-09-132022-10-03
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s41598-022-20395-1
PMID: 36192560
PMC: PMC9530158
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Grant ID : SNSF, 33IC30_179644
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Funding organization : Swiss National Science Foundation
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Grant ID : PCEFP3_181362/1
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Funding organization : SNSF Eccellenza Professorial Fellowship

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Title: Scientific Reports
  Abbreviation : Sci. Rep.
Source Genre: Journal
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Publ. Info: London, UK : Nature Publishing Group
Pages: - Volume / Issue: 12 (1) Sequence Number: 16498 Start / End Page: - Identifier: ISSN: 2045-2322
CoNE: https://pure.mpg.de/cone/journals/resource/2045-2322