EEG extended source imaging with structured sparsity and $$L_1$$-norm residual

Author(s):  
Furong Xu ◽  
Ke Liu ◽  
Zhuliang Yu ◽  
Xin Deng ◽  
Guoyin Wang
2020 ◽  
Author(s):  
Víctor Reglero ◽  
Paul Connell ◽  
Javier Navarro ◽  
Christopher Eyles ◽  
Nikolai Ostgaard ◽  
...  

<p>One year after the starting of ASIM operational phase, we have succeeded to perform accurate Imaging of 54 TGF.  Among them, some have been analysed at extreme imaging conditions in terms of TGF position at the MXGS partially coded field of view.  20 TGF events have angular distances larger than 40º respect to the MXGS FOV centre. Extreme cases at angular distances larger than 50º are presented. Validation of TGF position by WLN data is included in the discussion.</p><p>The canonical value of 32 LED cnts as the minimum fluency for TGF imaging defined during MXGS development was checked using low luminosity TGF.  At the present, we have succeeded to obtain imaging solution for 7 TGF with less than 20 cnts. A sample is presented with indication of position accuracy and S/N ratios.  </p><p>Last part of the presentation is the discussion of a TGF with a very large and asymmetric probability distribution at the MXGS FOV that suggest the TGF as an extended source. Imaging data projected to the Earth surface is compared with GOES data, showing that the TGF is at the edge of a large convective cell, close to the TGF imaging data map.  Therefore, we can conclude that for some bright TGF it is possible to estimate the TGF fireball dimensions generated by the iteration of TGF photons with local atmospheric asymmetric matter distributions. The presence of a large CZT tail is coherent with the size of the convective cell.</p>


2020 ◽  
Author(s):  
Ziyi Yin ◽  
Rafael Orozco ◽  
Philip Witte ◽  
Mathias Louboutin ◽  
Gabrio Rizzuti ◽  
...  

2020 ◽  
Vol 59 (09) ◽  
Author(s):  
Ryan Allured ◽  
Jonathan B. Ashcom

2019 ◽  
Vol 44 (7) ◽  
pp. 1544
Author(s):  
Juan Manuel López-Téllez ◽  
Russell A. Chipman ◽  
Lisa W. Li ◽  
Scott C. McEldowney ◽  
Matthew H. Smith

2021 ◽  
Author(s):  
Ke Liu ◽  
Zhu Liang Yu ◽  
Wei Wu ◽  
Xun Chen ◽  
Zhenghui Gu ◽  
...  

2007 ◽  
Vol 107 (3) ◽  
pp. 488-494 ◽  
Author(s):  
Jeffrey I. Berman ◽  
Mitchel S. Berger ◽  
Sungwon Chung ◽  
Srikantan S. Nagarajan ◽  
Roland G. Henry

Object Resecting brain tumors involves the risk of damaging the descending motor pathway. Diffusion tensor (DT)–imaged fiber tracking is a noninvasive magnetic resonance (MR) technique that can delineate the subcortical course of the motor pathway. The goal of this study was to use intraoperative subcortical stimulation mapping of the motor tract and magnetic source imaging to validate the utility of DT-imaged fiber tracking as a tool for presurgical planning. Methods Diffusion tensor-imaged fiber tracks of the motor tract were generated preoperatively in nine patients with gliomas. A mask of the resultant fiber tracks was overlaid on high-resolution T1- and T2-weighted anatomical MR images and used for stereotactic surgical navigation. Magnetic source imaging was performed in seven of the patients to identify functional somatosensory cortices. During resection, subcortical stimulation mapping of the motor pathway was performed within the white matter using a bipolar electrode. Results A total of 16 subcortical motor stimulations were stereotactically identified in nine patients. The mean distance between the stimulation sites and the DT-imaged fiber tracks was 8.7 ±3.1 mm (±standard deviation). The measured distance between subcortical stimulation sites and DT-imaged fiber tracks combines tracking technique errors and all errors encountered with stereotactic navigation. Conclusions Fiber tracks delineated using DT imaging can be used to identify the motor tract in deep white matter and define a safety margin around the tract.


Sign in / Sign up

Export Citation Format

Share Document