Literature DB >> 1522271

Retrospective fusion of radiographic and MR data for localization of subdural electrodes.

R Grzeszczuk1, K K Tan, D N Levin, C A Pelizzari, X Hu, G T Chen, R N Beck, C T Chen, M Cooper, J Milton.   

Abstract

Prior to epilepsy surgery, subdural electrodes are often implanted and monitored for a few days to identify the focus of abnormal electrical activity. During the implantation and subsequent brain resection, there may be uncertainty about the exact location of the electrodes with respect to features of brain anatomy such as specific gyral convolutions or lesions. In experiments with a phantom and patients, implanted electrodes were imaged with multiplanar skull radiographs (or CT scans). After retrospective registration with preimplantation MR data, the electrodes were mapped from these studies onto an MR-derived three-dimensional brain model. The resulting multimodality displays showed the relationship of the electrodes to brain anatomy. In one patient the position of each electrode with respect to a metabolic lesion was also displayed by mapping preimplantation PET data onto the same brain model. This new display of electrode positions may strengthen the interpretation of subdural electrical recordings and thereby reduce uncertainty in planning the resection of epileptic tissue.

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Year:  1992        PMID: 1522271     DOI: 10.1097/00004728-199209000-00018

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  9 in total

1.  Visualization of subdural strip and grid electrodes using curvilinear reformatting of 3D MR imaging data sets.

Authors:  Andreas H-J Schulze-Bonhage; Hans J Huppertz; Roch M Comeau; Jürgen B Honegger; Joachim M Spreer; Josef K Zentner
Journal:  AJNR Am J Neuroradiol       Date:  2002-03       Impact factor: 3.825

2.  Three-dimensional visualization of subdural electrodes for presurgical planning.

Authors:  Peter S LaViolette; Scott D Rand; Manoj Raghavan; Benjamin M Ellingson; Kathleen M Schmainda; Wade Mueller
Journal:  Neurosurgery       Date:  2011-03       Impact factor: 4.654

3.  Individualized localization and cortical surface-based registration of intracranial electrodes.

Authors:  Andrew R Dykstra; Alexander M Chan; Brian T Quinn; Rodrigo Zepeda; Corey J Keller; Justine Cormier; Joseph R Madsen; Emad N Eskandar; Sydney S Cash
Journal:  Neuroimage       Date:  2011-11-28       Impact factor: 6.556

4.  Surface based electrode localization and standardized regions of interest for intracranial EEG.

Authors:  Michael S Trotta; John Cocjin; Emily Whitehead; Srikanth Damera; John H Wittig; Ziad S Saad; Sara K Inati; Kareem A Zaghloul
Journal:  Hum Brain Mapp       Date:  2017-11-02       Impact factor: 5.038

5.  3D visualization of subdural electrode shift as measured at craniotomy reopening.

Authors:  Peter S LaViolette; Scott D Rand; Benjamin M Ellingson; Manoj Raghavan; Sean M Lew; Kathleen M Schmainda; Wade Mueller
Journal:  Epilepsy Res       Date:  2011-02-18       Impact factor: 3.045

6.  Localization of dense intracranial electrode arrays using magnetic resonance imaging.

Authors:  Andrew I Yang; Xiuyuan Wang; Werner K Doyle; Eric Halgren; Chad Carlson; Thomas L Belcher; Sydney S Cash; Orrin Devinsky; Thomas Thesen
Journal:  Neuroimage       Date:  2012-06-30       Impact factor: 6.556

7.  Registering imaged ECoG electrodes to human cortex: A geometry-based technique.

Authors:  David Brang; Zhongtian Dai; Weili Zheng; Vernon L Towle
Journal:  J Neurosci Methods       Date:  2016-08-10       Impact factor: 2.390

8.  Localization of neurosurgically implanted electrodes via photograph-MRI-radiograph coregistration.

Authors:  Sarang S Dalal; Erik Edwards; Heidi E Kirsch; Nicholas M Barbaro; Robert T Knight; Srikantan S Nagarajan
Journal:  J Neurosci Methods       Date:  2008-07-06       Impact factor: 2.390

9.  Localizing ECoG electrodes on the cortical anatomy without post-implantation imaging.

Authors:  Disha Gupta; N Jeremy Hill; Matthew A Adamo; Anthony Ritaccio; Gerwin Schalk
Journal:  Neuroimage Clin       Date:  2014-08-21       Impact factor: 4.881

  9 in total

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