Modeling the variation in speed of sound between couplant and tissue improves the spectral accuracy of multispectral optoacoustic tomography.
    
    
        
    
    
        
        Proc. SPIE 10890:108902 (2019)
    
    
    
		
		
			
				Even though the speed of sound (SoS) is non-homogeneous in biological tissue, most reconstruction algorithms for optoacoustic imaging neglect its variation. In addition, when heavy water is used as coupling medium to enable imaging of certain biological chromophores such as lipids and proteins, the SoS also differs significantly between couplant and tissue. While the assumption of uniform SoS is known to introduce visible deformations of features in single-wavelength optoacoustic images, the spectral error introduced by the assumption of uniform SoS is not fully understood. In this work, we provide an in-depth spectral analysis of multi-spectral optoacoustic imaging artifacts that result from the assumption of uniform SoS in situations where SoS changes substantially. We propose a dual-SoS model to incorporate the SoS variation between the couplant and the sample. Tissue-mimicking phantom experiments and in vivo measurements show that uniform SoS reconstruction causes spectral smearing, which dual-SoS modeling can largely eliminate. Due to this increased spectral accuracy, the method has the potential to improve clinical studies that rely on quantitative optoacoustic imaging of biomolecules like hemoglobin or lipids.
			
			
				
			
		 
		
			
				
					
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        Publikationstyp
        Artikel: Journalartikel
    
 
    
        Dokumenttyp
        Wissenschaftlicher Artikel
    
 
    
        Typ der Hochschulschrift
        
    
 
    
        Herausgeber
        
    
    
        Schlagwörter
        Handheld System ; Image Reconstruction ; Multi-spectral Optoacoustic Imaging ; Photoacoustic ; Spectral Smearing
    
 
    
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        Sprache
        englisch
    
 
    
        Veröffentlichungsjahr
        2019
    
 
    
        Prepublished im Jahr 
        
    
 
    
        HGF-Berichtsjahr
        2019
    
 
    
    
        ISSN (print) / ISBN
        0277-786X
    
 
    
        e-ISSN
        1996-756X
    
 
    
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        Bandtitel
        Label-free Biomedical Imaging and Sensing (LBIS) 2019
    
 
    
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        Konferenzort
        San Francisco, California, United States
    
 
	
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        Quellenangaben
        
	    Band: 10890,  
	    Heft: ,  
	    Seiten: ,  
	    Artikelnummer: 108902 
	    Supplement: ,  
	
    
 
  
        
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            SPIE
        
 
        
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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-505500-001
    
 
    
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        Erfassungsdatum
        2019-03-27