Lohöfer, F.K.* ; Kaissis, G.* ; Müller-Leisse, C.* ; Franz, D.* ; Katemann, C.* ; Hock, A.* ; Peeters, J.M.* ; Rummeny, E.J.* ; Karampinos, D.C.* ; Braren, R.F.*
    
 
    
        
Acceleration of chemical shift encoding-based water 
fat MRI for liver proton density fat fraction and T2* mapping using 
compressed sensing.
    
    
        
    
    
        
        PLoS ONE 14:e0224988 (2019)
    
    
    
		
		
			
				OBJECTIVES: To evaluate proton density fat fraction (PDFF) and T2* measurements of the liver with combined parallel imaging (sensitivity encoding, SENSE) and compressed sensing (CS) accelerated chemical shift encoding-based water-fat separation. METHODS: Six-echo Dixon imaging was performed in the liver of 89 subjects. The first acquisition variant used acceleration based on SENSE with a total acceleration factor equal to 2.64 (acquisition labeled as SENSE). The second acquisition variant used acceleration based on a combination of CS with SENSE with a total acceleration factor equal to 4 (acquisition labeled as CS+SENSE). Acquisition times were compared between acquisitions and proton density fat fraction (PDFF) and T2*-values were measured and compared separately for each liver segment. RESULTS: Total scan duration was 14.5 sec for the SENSE accelerated image acquisition and 9.3 sec for the CS+SENSE accelerated image acquisition. PDFF and T2* values did not differ significantly between the two acquisitions (paired Mann-Whitney and paired t-test P>0.05 in all cases). CS+SENSE accelerated acquisition showed reduced motion artifacts (1.1%) compared to SENSE acquisition (12.3%). CONCLUSION: CS+SENSE accelerates liver PDFF and T2*mapping while retaining the same quantitative values as an acquisition using only SENSE and reduces motion artifacts.
			
			
				
			
		 
		
			
				
					
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        Publikationstyp
        Artikel: Journalartikel
    
 
    
        Dokumenttyp
        Wissenschaftlicher Artikel
    
 
    
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        englisch
    
 
    
        Veröffentlichungsjahr
        2019
    
 
    
        Prepublished im Jahr 
        
    
 
    
        HGF-Berichtsjahr
        2019
    
 
    
    
        ISSN (print) / ISBN
        1932-6203
    
 
    
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	    Band: 14,  
	    Heft: 11,  
	    Seiten: ,  
	    Artikelnummer: e0224988 
	    Supplement: ,  
	
    
 
  
        
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            Verlag
            Public Library of Science (PLoS)
        
 
        
            Verlagsort
            Lawrence, Kan.
        
 
	
        
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        Begutachtungsstatus
        Peer reviewed
    
 
     
    
        POF Topic(s)
        30205 - Bioengineering and Digital Health
    
 
    
        Forschungsfeld(er)
        Enabling and Novel Technologies
    
 
    
        PSP-Element(e)
        G-530014-001
    
 
    
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        Erfassungsdatum
        2022-09-13