1naresh
Array
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => Controlled
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)
1naresh
Array
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => Controlled
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)
1naresh
Array
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => Controlled
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)
1naresh
Array
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => Controlled
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)
1naresh
Array
(
    [urn:ac.highwire.org:guest:identity] => Array
        (
            [runtime-id] => urn:ac.highwire.org:guest:identity
            [type] => guest
            [service-id] => ajnr-ac.highwire.org
            [access-type] => FreeToRead
            [privilege] => Array
                (
                    [urn:ac.highwire.org:guest:privilege] => Array
                        (
                            [runtime-id] => urn:ac.highwire.org:guest:privilege
                            [type] => privilege-set
                            [privilege-set] => GUEST
                        )

                )

            [credentials] => Array
                (
                    [method] => guest
                )

        )

)


  
    

















































































































    Artificial Intelligence–Based 3D Angiography for Visualization of Complex Cerebrovascular Pathologies | American Journal of Neuroradiology  
    



















    































    
  
  




    
    

  

      


    

      

  
  
  

    

  

    

  

                
    

      

  

    

  
      
  
  

    


Advertisement



  



  


  
  



  



    

  


  


  


  
  
  
  
  
  

  	      


    
      

    
  
    
        
    

  

    
                        

  

                
    

      

	  

		
		

			

			  

  
      
  
  

    

  
  
      
Research ArticleAdult Brain

  
      

  
      
Artificial Intelligence–Based 3D Angiography for Visualization of Complex Cerebrovascular Pathologies
  
    	
S. Lang, P. Hoelter, M. Schmidt, C. Strother, C. Kaethner, M. Kowarschik and A. Doerfler

  
    	
American Journal of Neuroradiology October 2021,  42 (10) 1762-1768; DOI: https://doi.org/10.3174/ajnr.A7252 

  
  
  



  


  
  



			

		

	
	
 	
	  
  

		
		

			

			  

  
      
  
  

    
  


  
  



  
      
  
  

    

  

    

  
      
  
  

    
References
  1. 1.↵
    1. 

    2. Wong  SC, 
    3. Nawawi  O, 
    4. Ramli  N, et al
    . Benefits of 3D rotational DSA compared with 2D DSA in the evaluation of intracranial aneurysm. Acad Radiol 2012;19:701–07 Jun doi:10.1016/j.acra.2012.02.012 pmid:22578227
    CrossRefPubMed
  2. 2.↵
    1. 

    2. van Rooij  WJ, 
    3. Sprengers  ME, 
    4. de Gast  AN, et al
    . 3D rotational angiography: the new gold standard in the detection of additional intracranial aneurysms. AJNR Am J Neuroradiol 2008;29:976–79 doi:10.3174/ajnr.A0964 pmid:18258703
    CrossRefPubMed
  3. 3.↵
    1. 

    2. Mistretta  CA, 
    3. Crummy  AB, 
    4. Strother  CM
    . Digital angiography: a perspective. Radiology 1981;139:273–76 doi:10.1148/radiology.139.2.7012918 pmid:7012918
    CrossRefPubMedWeb of Science
  4. 4.↵
    1. 

    2. Hochmuth  A, 
    3. Spetzger  U, 
    4. Schumacher  M
    . Comparison of three-dimensional rotational angiography with digital subtraction angiography in the assessment of ruptured cerebral aneurysms. AJNR Am J Neuroradiol 2002;23:1199–205 pmid:12169480
    PubMedWeb of Science
  5. 5.↵
    1. 

    2. Anxionnat  R, 
    3. Bracard  S, 
    4. Ducrocq  X, et al
    . Intracranial aneurysms: clinical value of 3D digital subtraction angiography in the therapeutic decision and endovascular treatment. Radiology 2001;218:799–808 doi:10.1148/radiology.218.3.r01mr09799 pmid:11230659
    CrossRefPubMedWeb of Science
  6. 6.↵
    1. 

    2. Missler  U, 
    3. Hundt  C, 
    4. Wiesmann  M, et al
    . Three-dimensional reconstructed rotational digital subtraction angiography in planning treatment of intracranial aneurysms. Eur Radiol 2000;10:564–68 doi:10.1007/s003300050961 pmid:10795532
    CrossRefPubMed
  7. 7.↵
    1. 

    2. Ogilvy  CS, 
    3. Stieg  PE, 
    4. Awad  I, et al
    . Special Writing Group of the Stroke Council, American Stroke Association. AHA Scientific Statement: recommendations for the management of intracranial arteriovenous malformations—a statement for healthcare professionals from a Special Writing Group of the Stroke Council, American Stroke Association. Stroke 2001;32:1458–71 doi:10.1161/01.str.32.6.1458 pmid:11387517
    FREE Full Text
  8. 8.↵
    1. 

    2. Oppenheim  C, 
    3. Meder  JF, 
    4. Trystram  D, et al
    . Radiosurgery of cerebral arteriovenous malformations: is an early angiogram needed? AJNR Am J Neuroradiol 1999;20:475–81 pmid:10219415
    Abstract/FREE Full Text
  9. 9.↵
    1. 

    2. Struffert  T, 
    3. Hauer  M, 
    4. Banckwitz  R, et al
    . Effective dose to patient measurements in flat-detector and multislice computed tomography: a comparison of applications in neuroradiology. Eur Radiol 2014;24:1257–65 doi:10.1007/s00330-014-3136-7 pmid:24691631
    CrossRefPubMed
  10. 10.↵
    1. 

    2. Kim  DJ, 
    3. Park  MK, 
    4. Jung  DE, et al
    . Radiation dose reduction without compromise to image quality by alterations of filtration and focal spot size in cerebral angiography. Korean J Radiol 2017;18:722–28 doi:10.3348/kjr.2017.18.4.722 pmid:28670167
    CrossRefPubMed
  11. 11.↵
    1. 

    2. Pearl  MS, 
    3. Torok  CM, 
    4. Messina  SA, et al
    . Reducing radiation dose while maintaining diagnostic image quality of cerebral three-dimensional digital subtraction angiography: an in vivo study in swine. J Neurointerv Surg 2014;6:672–76 doi:10.1136/neurintsurg-2013-010914 pmid:24122004
    Abstract/FREE Full Text
  12. 12.↵
    1. 

    2. Pearl  MS, 
    3. Torok  C, 
    4. Katz  Z, et al
    . Diagnostic quality and accuracy of low dose 3D-DSA protocols in the evaluation of intracranial aneurysms. J Neuronterv Surg 2015;7:386–90 doi:10.1136/neurintsurg-2014-011137 pmid:24714612
    CrossRefPubMed
  13. 13.↵
    1. 

    2. Grass  M, 
    3. Koppe  R, 
    4. Klotz  E, et al
    . Three-dimensional reconstruction of high contrast objects using C-arm image intensifier projection data. Comput Med Imaging Graph 1999;23:311–21 doi:10.1016/S0895-6111(99)00028-2 pmid:10634143
    CrossRefPubMedWeb of Science
  14. 14.↵
    1. 

    2. Raabe  A, 
    3. Beck  J, 
    4. Rohde  S, et al
    . Three-dimensional rotational angiography guidance for aneurysm surgery. J Neurosurg 2006;105:406–11 doi:10.3171/jns.2006.105.3.406 pmid:16961135
    CrossRefPubMed
  15. 15.↵
    1. 

    2. Gosch  D, 
    3. Kurze  W, 
    4. Deckert  F, et al
    . Radiation exposure with 3D rotational angiography of the skull. Rofo 2006;178:880–05 doi:10.1055/s-2006-926955 pmid:16953480
    CrossRefPubMed
  16. 16.↵
    1. 

    2. Hirai  T, 
    3. Korogi  Y, 
    4. Suginohara  K, et al
    . Clinical usefulness of unsubtracted 3D digital angiography compared with rotational digital angiography in the pretreatment evaluation of intracranial aneurysms. AJNR Am J Neuroradiol 2003;24:1067–74 pmid:12812928
    Abstract/FREE Full Text
  17. 17.↵
    1. 

    2. Montoya  JC, 
    3. Li  Y, 
    4. Strother  C, et al
    . 3D deep learning angiography (3D-DLA) from C-arm conebeam CT. AJNR Am J Neuroradiol 2018;39:916–22 doi:10.3174/ajnr.A5597 pmid:29567655
    Abstract/FREE Full Text
  18. 18.↵
    1. 

    2. Lang  S, 
    3. Hoelter  P, 
    4. Schmidt  MA, et al
    . Evaluation of an artificial intelligence-based 3D-angiography for visualization of cerebral vasculature. Clin Neuroradiol 2020;30:705–12 doi:10.1007/s00062-019-00836-7 pmid:31598760
    CrossRefPubMed
  19. 19.↵
    1. 

    2. Goodfellow  I, 
    3. Bengio  Y, 
    4. Courville  A
    . Deep Learning. MIT Press; 2016
  20. 20.↵
    1. 

    2. Ioffe  S, 
    3. Szegedy  C
    . Batch normalization: accelerating deep network training by reducing internal covariate shift. In: Proceedings of the 32nd International Conference on Machine Learning, Lille, France. July 7–11, 2015;37:448–56
  21. 21.↵
    1. 

    2. Kingma  D, 
    3. Ba  J
    . Adam: a method for stochastic optimization. In: Proceedings of the International Conference on Learning Representations, San Diego, California. May 7–9, 2015
  22. 22.↵
    1. 

    2. van den Oord  A, 
    3. Dieleman  S, 
    4. Zen  H, et al
    . WaveNet: a generative model for raw audio. 2016. arXiv: 1609.03499v2[cs.SD]. https://arxiv.org/abs/1609.03499?source=post_page630afcafb9dd. Accessed April 22, 2020
  23. 23.↵
    1. 

    2. Yu  F, 
    3. Koltun  V
    . Multi-scale context aggregation by dilated convolutions. 2016. arXiv: 1511.07122v3[cs.CV]. http://export.arxiv.org/abs/1511.07122v3. Accessed May 8, 2020
  


  
  



  




  


  
  



  
      
  
  

    
  


  
  



  
      
  
  

     Back to top  


  
  



			

		

		
		

			

			  

  
        
In this issue

    
  
  

    
  


  
  



  
      
  
  

    

  

    

  
      
  
  

    


Advertisement



  



  


  
  



  



  


  
  



  
      
  
  

    

	  
  

		

          

            

  
      
  
  

     Print  


  
  



  
      
  
  

     Download PDF  


  
  



  
      
  
  

    
 Email Article
  


  
  



  
      
  
  

    
 Citation Tools
  


  
  



          

        

        
        

          

            



  
      
  
  

    

  

    

  
      
  
  

    

  
  
  
  
      
Artificial Intelligence–Based 3D Angiography for Visualization of Complex Cerebrovascular Pathologies
  
    	
S. Lang, P. Hoelter, M. Schmidt, C. Strother, C. Kaethner, M. Kowarschik, A. Doerfler

  
    	
American Journal of Neuroradiology Oct 2021, 42 (10) 1762-1768; DOI: 10.3174/ajnr.A7252 

  
  
  



  


  
  



  
      
  
  

    

  
    
  
  
    
  
  
    
  


  


  
  



  
      
  
  

    
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  


  
  



  



  


  
  



  
      
  
  

    
  


  
  



          

        

	
 	
	
	


  


  
  



  
      
  
  

    
              Purchase  


  
  



  
        
Jump to section

    
  
  

    
  


  
  



  
      
  
  

    
  


  
  



			

		

	
	
 	
	
	


    

  



  

                
    

      

  

    

  
      
  
  

    


Advertisement