Non-negative constrained inversion approaches for unmixing chromophores in multispectral optoacoustic tomography.
    
    
        
    
    
        
        Proc. SPIE 10064:100641B (2017)
    
    
    
      
      
	
	    Due to modeling and experimental imperfections, multispectral optoacoustic tomography images are often afflicted with negative values, which are further amplified when propagating into the spectrally unmixed images of chromophore concentrations. Since negative values have no physical meaning, accuracy can potentially be improved by imposing non-negativity constraints on the initial reconstructions and the unmixing steps. Herein, we compare several non-negative constrained approaches with reconstruction and spectral unmixing performed separately or combined in a single inverse step. The quantitative performance and sensitivity of the different approaches in detecting small amounts of spectrally-distinct chromophores are studied in tissue-mimicking phantoms and mouse experiments.
	
	
	    
	
       
      
	
	    
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        Publication type
        Article: Journal article
    
 
    
        Document type
        Scientific Article
    
 
    
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        Keywords
        Optoacoustic/photoacoustic tomography, multispectral imaging, spectral unmixing, non-negative constraint
    
 
    
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        Publication Year
        2017
    
 
    
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        HGF-reported in Year
        2017
    
 
    
    
        ISSN (print) / ISBN
        0277-786X
    
 
    
        e-ISSN
        1996-756X
    
 
    
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        Conference Title
        Photons Plus Ultrasound: Imaging and Sensing 2017
    
 
	
        Conference Date
        28 January - 2 February 2017
    
     
	
        Conference Location
        San Francisco, California, United States
    
 
	
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        Quellenangaben
        
	    Volume: 10064,  
	    Issue: ,  
	    Pages: ,  
	    Article Number: 100641B 
	    Supplement: ,  
	
    
 
    
        
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            SPIE
        
 
        
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        Reviewing status
        Peer reviewed
    
 
     
    
        POF-Topic(s)
        30205 - Bioengineering and Digital Health
    
 
    
        Research field(s)
        Enabling and Novel Technologies
    
 
    
        PSP Element(s)
        G-505590-001
    
 
    
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        Erfassungsdatum
        2017-03-20