Castellano-Smith, A.D.* ; Hartkens, T.* ; Schnabel, J.A.* ; Hose, R.* ; Liu, H.* ; Hall, W.* ; Truwit, C.* ; Hawkes, D.J.* ; Hill, D.L.G.*
    
 
    
        
A registration based mesh construction technique for finite element models of brains.
    
    
        
    
    
        
        Proc. SPIE 4684, 538-549 (2002)
    
    
    
		
		
			
				The generation of patient specific meshes for Finite Element Methods (FEM) with application to brain deformation is a time consuming process, but is essential for the modelling of intra-operative deformation of the brain during neurosurgery using FEM techniques. We present an automatic method for the generation of FEM meshes fitting patient data. The method is based on non-rigid registration of patient MR images to an atlas brain image, followed by deformation of a high-quality mesh of this atlas brain. We demonstrate the technique on brain MRI images from 12 patients undergoing neurosurgery. We show that the FEM meshes generated by our technique are of good quality. We then demonstrate the utility of these FEM meshes by simulating simple neurosurgical scenarios on example patients, and show that the deformations predicted by our brain model match the observed deformations. The meshes generated by our technique are of good quality, and are suitable for modelling the types of deformation observed during neurosurgery. The deformations predicted by a simple loading scenario match well with those observed following the actual surgery. This paper does not attempt an exhaustive study of brain deformation, but does provide an essential tool for such a study - a method of rapidly generating Finite Element Meshes fitting individual subject brains. © 2002 SPIE · 1605-7422/02/$15.00.
			
			
				
			
		 
		
			
				
					
					Impact Factor
					Scopus SNIP
					Web of Science
Times Cited
					Scopus
Cited By
					
					Altmetric
					
				 
				
			 
		 
		
     
    
        Publikationstyp
        Artikel: Journalartikel
    
 
    
        Dokumenttyp
        Wissenschaftlicher Artikel
    
 
    
        Typ der Hochschulschrift
        
    
 
    
        Herausgeber
        
    
    
        Schlagwörter
        
    
 
    
        Keywords plus
        
    
 
    
    
        Sprache
        englisch
    
 
    
        Veröffentlichungsjahr
        2002
    
 
    
        Prepublished im Jahr 
        
    
 
    
        HGF-Berichtsjahr
        2002
    
 
    
    
        ISSN (print) / ISBN
        0277-786X
    
 
    
        e-ISSN
        1996-756X
    
 
    
        ISBN
        
    
 
    
        Bandtitel
        
    
 
    
        Konferenztitel
        
    
 
	
        Konferzenzdatum
        
    
     
	
        Konferenzort
        
    
 
	
        Konferenzband
        
    
 
     
		
    
        Quellenangaben
        
	    Band: 4684,  
	    Heft: ,  
	    Seiten: 538-549 
	    Artikelnummer: ,  
	    Supplement: ,  
	
    
 
  
        
            Reihe
            
        
 
        
            Verlag
            SPIE
        
 
        
            Verlagsort
            
        
 
	
        
            Tag d. mündl. Prüfung
            0000-00-00
        
 
        
            Betreuer
            
        
 
        
            Gutachter
            
        
 
        
            Prüfer
            
        
 
        
            Topic
            
        
 
	
        
            Hochschule
            
        
 
        
            Hochschulort
            
        
 
        
            Fakultät
            
        
 
    
        
            Veröffentlichungsdatum
            0000-00-00
        
 
         
        
            Anmeldedatum
            0000-00-00
        
 
        
            Anmelder/Inhaber
            
        
 
        
            weitere Inhaber
            
        
 
        
            Anmeldeland
            
        
 
        
            Priorität
            
        
 
    
        Begutachtungsstatus
        Peer reviewed
    
 
    
        Institut(e)
        Institute for Machine Learning in Biomed Imaging (IML)
    
 
    
        POF Topic(s)
        30205 - Bioengineering and Digital Health
    
 
    
        Forschungsfeld(er)
        Enabling and Novel Technologies
    
 
    
        PSP-Element(e)
        G-507100-001
    
 
    
        Förderungen
        
    
 
    
        Copyright
        
    
 	
    
    
    
        Erfassungsdatum
        2022-09-05