Literature DB >> 18051094

Automatic target and trajectory identification for deep brain stimulation (DBS) procedures.

Ting Guo1, Andrew G Parrent, Terry M Peters.   

Abstract

This paper presents an automatic surgical target and trajectory identification technique for planning deep brain stimulation (DBS) procedures. The probabilistic functional maps, constructed from population-based actual stimulating field information and intra-operative electrophysiological activities, were integrated into a neurosurgical visualization and navigation system to facilitate the surgical planning and guidance. In our preliminary studies, we compared the actual surgical target locations and trajectories established by an experienced stereotactic neurosurgeon with those automatically planned using our probabilistic functional maps on 10 subthalamic nucleus (STN) DBS procedures. The average displacement between the surgical target locations in both groups was 1.82mm with a standard deviation of 0.77mm. The difference between the surgical trajectories was 3.1 degrees and 2.3 degrees in the lateral-to-medial and anterior-to-posterior orientations respectively.

Mesh:

Year:  2007        PMID: 18051094     DOI: 10.1007/978-3-540-75757-3_59

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  6 in total

1.  Computer-assisted planning for the insertion of stereoelectroencephalography electrodes for the investigation of drug-resistant focal epilepsy: an external validation study.

Authors:  Vejay N Vakharia; Rachel Sparks; Roman Rodionov; Sjoerd B Vos; Christian Dorfer; Jonathan Miller; Daniel Nilsson; Martin Tisdall; Stefan Wolfsberger; Andrew W McEvoy; Anna Miserocchi; Gavin P Winston; Aidan G O'Keeffe; Sebastien Ourselin; John S Duncan
Journal:  J Neurosurg       Date:  2018-04-01       Impact factor: 5.115

2.  Automatic computation of electrode trajectories for Deep Brain Stimulation: a hybrid symbolic and numerical approach.

Authors:  Caroline Essert; Claire Haegelen; Florent Lalys; Alexandre Abadie; Pierre Jannin
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-08-25       Impact factor: 2.924

3.  Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps.

Authors:  Camilo Bermudez; William Rodriguez; Yuankai Huo; Allison E Hainline; Rui Li; Robert Shults; Pierre D D'Haese; Peter E Konrad; Benoit M Dawant; Bennett A Landman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2019-03

4.  A multi-modal approach to computer-assisted deep brain stimulation trajectory planning.

Authors:  Silvain Bériault; Fahd Al Subaie; D Louis Collins; Abbas F Sadikot; G Bruce Pike
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-06-21       Impact factor: 2.924

5.  Improving recorded volume in mesial temporal lobe by optimizing stereotactic intracranial electrode implantation planning.

Authors:  R Zelmann; S Beriault; M M Marinho; K Mok; J A Hall; N Guizard; C Haegelen; A Olivier; G B Pike; D L Collins
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-03-26       Impact factor: 2.924

6.  Effect of data normalization on the creation of neuro-probabilistic atlases.

Authors:  Pierre-François D'Haese; Srivatsan Pallavaram; Chris Kao; Joseph S Neimat; Peter E Konrad; Benoit M Dawant
Journal:  Stereotact Funct Neurosurg       Date:  2013-02-27       Impact factor: 1.875

  6 in total

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