Mason, K;
              
      
            
                Aristovich, K;
              
      
            
                Holder, D;
              
      
        
        
  
(2023)
  The Feasibility of Fast Neural Magnetic Detection Electrical Impedance Tomography: A Modelling Study.
    
    
      In: 
      Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering (NER) 2023.
      
      (pp. pp. 1-4).
    
 Institute of Electrical and Electronics Engineers (IEEE)
  
  
      
    
  
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Abstract
Magnetic Detection Electrical Impedance Tomography (MDEIT) is a possible method to non-invasively image fast neural activity in the human brain by injecting current with scalp electrodes and measuring the change in the magnetic field due to neural activity. A modelling study was performed on an anatomically realistic head model, assessing the SNR and reconstructed image quality for MDEIT and EIT with 3 different realistic noise cases. EIT produced a larger SNR than MDEIT for 2 out of the 3 noise cases. However, MDEIT was found to reconstruct images with a significantly lower error for all the reconstruction cases considered (P< 0.001).
| Type: | Proceedings paper | 
|---|---|
| Title: | The Feasibility of Fast Neural Magnetic Detection Electrical Impedance Tomography: A Modelling Study | 
| Event: | 11th International IEEE/EMBS Conference on Neural Engineering (NER) 2023 | 
| ISBN-13: | 978-1-6654-6292-1 | 
| Open access status: | An open access version is available from UCL Discovery | 
| DOI: | 10.1109/NER52421.2023.10123778 | 
| Publisher version: | https://doi.org/10.1109/NER52421.2023.10123778 | 
| Language: | English | 
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. | 
| Keywords: | Neural imaging, Magnetometry | 
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Engineering Science Faculty Office  | 
        
| URI: | https://discovery.ucl.ac.uk/id/eprint/10172361 | 
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