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  Verbesserte Datenqualität und Bedingungen für die robuste Separation und Analyse von IMCL und EMCL in 1H Kardialer MRS bei 3T

Fillmer, A., Hock, A., Cameron, D., & Henning, A. (2016). Verbesserte Datenqualität und Bedingungen für die robuste Separation und Analyse von IMCL und EMCL in 1H Kardialer MRS bei 3T. In 47. Jahrestagung der Deutschen Gesellschaft für Medizinische Physik (DGMP 2016) / 19. Jahrestagung der Deutschen Sektion der International Society for Magnetic Resonance in Medicine (ISMRM-DS 2016) (pp. 72-75).

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Fillmer, A, Author
Hock, A, Author
Cameron, D, Author
Henning, A1, 2, Author           
Hövener, J-B, Editor
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528692              

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 Abstract: 1H cardiac MRS is a promising tool to non-invasively investigate the cardiac lipid metabolism in the context of human heart disease. To this end the separation and independent quantification of signals from intramyocellular (IMCL) and extramyocellular lipids (EMCL) is required. This work demonstrates the feasibility of obtaining high quality spectra from the human heart using IVS McPRESS and investigates conditions for reliable separation of IMCL and EMCL signals using a standard analysis tool.

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 Dates: 2016-09
 Publication Status: Issued
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 Identifiers: BibTex Citekey: FillmerHCH2016_2
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Title: 47. Jahrestagung der Deutschen Gesellschaft für Medizinische Physik (DGMP 2016) / 19. Jahrestagung der Deutschen Sektion der International Society for Magnetic Resonance in Medicine (ISMRM-DS 2016)
Place of Event: Würzburg, Germany
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Title: 47. Jahrestagung der Deutschen Gesellschaft für Medizinische Physik (DGMP 2016) / 19. Jahrestagung der Deutschen Sektion der International Society for Magnetic Resonance in Medicine (ISMRM-DS 2016)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 72 - 75 Identifier: -