Computer-assisted functional neurosurgery

Summary

Principal Investigator: B M Dawant
Affiliation: Vanderbilt University
Country: USA
Abstract: [unreadable] DESCRIPTION (provided by applicant): Movement disorders affect over 5,000,000 people in the United States. The two most common types of movement disorders are essential tremor (ET), which affects over 4,000,000 and Parkinson's Disease (PD), which affects over 500,000 people. Contemporary treatment of these diseases involves high-frequency stimulation through deep brain stimulation (DBS). This form of therapy is offered to patients who have begun to see failure with standard medical therapy and also to patients in which medical therapy is poorly effective. A DBS procedure involves the placement, with millimetric accuracy, of an electrode in the proximity of functional areas referred to as targets. The main difficulty with the procedure is the fact that targets of interest are not or poorly visible in any imaging modality (e.g., MRI or X-ray CT). Hence, the process of implantation of a DBS electrode is an iterative procedure. An approximate target position is determined pre-operatively from the position of adjacent structures that are visible in MR images. With the patient awake, this position is then adjusted intra- operatively, which is a lengthy process. The entire procedure can take 5-6 hours, and requires expertise from a neurosurgeon, an electrophysiologist, and a neurologist. This combined expertise is only available at a limited number of centers, which is one of the reasons why only 3000 procedures are performed annually despite the much larger number of patients who could benefit from it. The goal of this project is to develop a surgical guidance systems that will assist neurosurgeons in identifying targets of interest pre-operatively and in adjusting target position intra-operatively. If successful, the outcome of this project will be a system that will reduce the duration of the procedure, increase its rate of success, and make it feasible at sites that do not have the expertise found at leading research institutions [unreadable] [unreadable] [unreadable]
Funding Period: 2006-05-01 - 2010-02-28
more information: NIH RePORT

Top Publications

  1. pmc Validating an objective video-based dyskinesia severity score in Parkinson's disease patients
    Anusha Sathyanarayanan Rao
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37232, USA
    Parkinsonism Relat Disord 19:232-7. 2013
  2. pmc Non-local statistical label fusion for multi-atlas segmentation
    Andrew J Asman
    Electrical Engineering, Vanderbilt University, Nashville, TN 37235 1679, USA
    Med Image Anal 17:194-208. 2013
  3. pmc Non-local STAPLE: an intensity-driven multi-atlas rater model
    Andrew J Asman
    Electrical Engineering, Vanderbilt University, Nashville, TN 37235, USA
    Med Image Comput Comput Assist Interv 15:426-34. 2012
  4. pmc Effect of data normalization on the creation of neuro-probabilistic atlases
    Pierre François D'Haese
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA
    Stereotact Funct Neurosurg 91:148-52. 2013
  5. pmc Neurologist consistency in interpreting information provided by an interactive visualization software for deep brain stimulation postoperative programming assistance
    Srivatsan Pallavaram
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
    Neuromodulation 17:11-5; discussion 15. 2014
  6. pmc Robust GM/WM segmentation of the spinal cord with iterative non-local statistical fusion
    Andrew J Asman
    Electrical Engineering, Vanderbilt University, Nashville, TN 37235, USA
    Med Image Comput Comput Assist Interv 16:759-67. 2013
  7. pmc Groupwise multi-atlas segmentation of the spinal cord's internal structure
    Andrew J Asman
    Electrical Engineering, Vanderbilt University, Nashville, TN 37235, USA Electronic address
    Med Image Anal 18:460-71. 2014
  8. pmc Subthalamic nucleus deep brain stimulation in early stage Parkinson's disease
    David Charles
    Department of Neurology, Vanderbilt University Medical Center, USA Electronic address
    Parkinsonism Relat Disord 20:731-7. 2014
  9. pmc Segmentation of malignant gliomas through remote collaboration and statistical fusion
    Zhoubing Xu
    Electrical Engineering, Vanderbilt University, Nashville, TN, USA
    Med Phys 39:5981-9. 2012
  10. pmc Clinical accuracy of a customized stereotactic platform for deep brain stimulation after accounting for brain shift
    Pierre François D'Haese
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA pf dhaese vanderbilt edu
    Stereotact Funct Neurosurg 88:81-7. 2010

Scientific Experts

  • Ramya Balachandran
  • Peter Konrad
  • Pierre François D'Haese
  • Srivatsan Pallavaram
  • Andrei Danilchenko
  • Andrew J Asman
  • Benoit M Dawant
  • David Charles
  • Peter Hedera
  • Chris Kao
  • Anusha Sathyanarayanan Rao
  • Elyne Kahn
  • Zhoubing Xu
  • Thomas L Davis
  • Jack H Noble
  • Rui Li
  • Robert E Bodenheimer
  • Anusha S Rao
  • Chandler E Gill
  • Fenna T Phibbs
  • Ronald M Salomon
  • Kevin R Cannard
  • Anna L Molinari
  • Stuart G Finder
  • Mark J Bliton
  • Joseph S Neimat
  • Yanna Song
  • Lily Wang
  • Michael G Tramontana
  • John Fang
  • Fenna Phibbs
  • Thomas Davis
  • Lola Chambless
  • P David Charles
  • Laura Allen
  • Reid Thompson
  • Bennett A Landman
  • Eesha Singh
  • Benoit Dawant
  • Cissy Voight

Detail Information

Publications30

  1. pmc Validating an objective video-based dyskinesia severity score in Parkinson's disease patients
    Anusha Sathyanarayanan Rao
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37232, USA
    Parkinsonism Relat Disord 19:232-7. 2013
    ..These results support the effective use of SVS as an objective measure to quantify dyskinesia and the rationale for a ranking system that complements traditional rating scales...
  2. pmc Non-local statistical label fusion for multi-atlas segmentation
    Andrew J Asman
    Electrical Engineering, Vanderbilt University, Nashville, TN 37235 1679, USA
    Med Image Anal 17:194-208. 2013
    ..We assess the sensitivity and optimality of the approach and demonstrate significant improvement in two empirical multi-atlas experiments...
  3. pmc Non-local STAPLE: an intensity-driven multi-atlas rater model
    Andrew J Asman
    Electrical Engineering, Vanderbilt University, Nashville, TN 37235, USA
    Med Image Comput Comput Assist Interv 15:426-34. 2012
    ..We demonstrate significant improvements in two empirical multi-atlas experiments...
  4. pmc Effect of data normalization on the creation of neuro-probabilistic atlases
    Pierre François D'Haese
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA
    Stereotact Funct Neurosurg 91:148-52. 2013
    ..We also find that the maps produced using nonlinear techniques correlate with their expected anatomic positions...
  5. pmc Neurologist consistency in interpreting information provided by an interactive visualization software for deep brain stimulation postoperative programming assistance
    Srivatsan Pallavaram
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
    Neuromodulation 17:11-5; discussion 15. 2014
    ..In this study, we evaluate the consistency between neurologists in interpreting and using such information provided by our DBS programming assistance software...
  6. pmc Robust GM/WM segmentation of the spinal cord with iterative non-local statistical fusion
    Andrew J Asman
    Electrical Engineering, Vanderbilt University, Nashville, TN 37235, USA
    Med Image Comput Comput Assist Interv 16:759-67. 2013
    ....
  7. pmc Groupwise multi-atlas segmentation of the spinal cord's internal structure
    Andrew J Asman
    Electrical Engineering, Vanderbilt University, Nashville, TN 37235, USA Electronic address
    Med Image Anal 18:460-71. 2014
    ....
  8. pmc Subthalamic nucleus deep brain stimulation in early stage Parkinson's disease
    David Charles
    Department of Neurology, Vanderbilt University Medical Center, USA Electronic address
    Parkinsonism Relat Disord 20:731-7. 2014
    ..This manuscript reports the results of a pilot trial investigating preliminary safety and tolerability of DBS in early PD...
  9. pmc Segmentation of malignant gliomas through remote collaboration and statistical fusion
    Zhoubing Xu
    Electrical Engineering, Vanderbilt University, Nashville, TN, USA
    Med Phys 39:5981-9. 2012
    ..Herein, the authors demonstrate an alternative approach for high-throughput tumor segmentation using Internet-based, collaborative labeling...
  10. pmc Clinical accuracy of a customized stereotactic platform for deep brain stimulation after accounting for brain shift
    Pierre François D'Haese
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA pf dhaese vanderbilt edu
    Stereotact Funct Neurosurg 88:81-7. 2010
    ..24 +/- 0.37 mm for the StarFix frame, which is similar to the reported G frame accuracy and better than the reported Nexframe accuracy (2.5 +/- 1.4 mm) [Stereotact Funct Neurosurg 2007;85:235-242]...
  11. pmc An atlas-navigated optimal medial axis and deformable model algorithm (NOMAD) for the segmentation of the optic nerves and chiasm in MR and CT images
    Jack H Noble
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA
    Med Image Anal 15:877-84. 2011
    ..The method results in mean Dice coefficients of 0.8 when compared to manual segmentations over ten test cases. This suggests that our method is more accurate than existing techniques developed for the segmentation of these structures...
  12. pmc Effect of brain shift on the creation of functional atlases for deep brain stimulation surgery
    Srivatsan Pallavaram
    Department of Electrical Engineering, Vanderbilt University, VU Station B 351662, Nashville, TN 37240 1662, USA
    Int J Comput Assist Radiol Surg 5:221-8. 2010
    ..We quantify the effect of brain shift between pre-operative imaging and intra-operative recording on the creation of functional atlases using intra-operative somatotopy recordings and stimulation response data...
  13. pmc Effect of MR distortion on targeting for deep-brain stimulation
    Ramya Balachandran
    Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, TN 37222, USA
    IEEE Trans Biomed Eng 57:1729-35. 2010
    ..Mean targeting error due to MR distortion in T2 was found to be 0.07 +/- 0.025 mm with a maximum of 0.13 mm over 12 targets; error in the T1 images was smaller by 4%...
  14. ncbi A method to correct for brain shift when building electrophysiological atlases for deep brain stimulation (DBS) surgery
    Srivatsan Pallavaram
    Dept of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
    Med Image Comput Comput Assist Interv 12:557-64. 2009
    ..These findings suggest that brain-shift correction of intra-operatively recorded data is feasible for the construction of accurate shift-corrected electrophysiological atlases...
  15. pmc CranialVault and its CRAVE tools: a clinical computer assistance system for deep brain stimulation (DBS) therapy
    Pierre François D'Haese
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
    Med Image Anal 16:744-53. 2012
    ....
  16. doi General approach to first-order error prediction in rigid point registration
    Andrei Danilchenko
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA
    IEEE Trans Med Imaging 30:679-93. 2011
    ..Therefore, as estimators of registration accuracy, such measures should be approached with extreme caution both by the purveyors of guidance systems and by the practitioners who use them...
  17. pmc Customized, miniature rapid-prototype stereotactic frames for use in deep brain stimulator surgery: initial clinical methodology and experience from 263 patients from 2002 to 2008
    Peter E Konrad
    Department of Neurosurgery, Vanderbilt University, Nashville, TN 37232, USA
    Stereotact Funct Neurosurg 89:34-41. 2011
    ..Our goal is to report the clinical experience with this system over a 6-year period...
  18. pmc Deep brain stimulation in early stage Parkinson's disease: operative experience from a prospective randomised clinical trial
    Elyne Kahn
    School of Medicine, Vanderbilt University, Nashville, Tennessee, USA
    J Neurol Neurosurg Psychiatry 83:164-70. 2012
    ..A randomised, prospective study is underway to determine whether STN-DBS in early PD is safe and tolerable...
  19. pmc Formulating spatially varying performance in the statistical fusion framework
    Andrew J Asman
    Department of Electrical Engineering, Vanderbilt University, Nashville, TN 37235, USA
    IEEE Trans Med Imaging 31:1326-36. 2012
    ..This approach, Spatial STAPLE, provides significant improvements over state-of-the-art label fusion algorithms in both simulated and empirical data sets...
  20. pmc Validation of a fully automatic method for the routine selection of the anterior and posterior commissures in magnetic resonance images
    Srivatsan Pallavaram
    Department of Electrical Engineering and Computer Science, Vanderbilt University Medical Center, Nashville, TN 37235, USA
    Stereotact Funct Neurosurg 87:148-54. 2009
    ..65 mm (95% confidence interval: 0.56-0.79) versus 1.21 mm (95% confidence interval: 0.91-1.47) for AC and 0.56 mm (95% confidence interval: 0.46-0.66) versus 1.06 mm (95% confidence interval: 0.82-1.26) for PC...
  21. doi Accuracy evaluation of microTargeting Platforms for deep-brain stimulation using virtual targets
    Ramya Balachandran
    Department of Otolaryngology, Vanderbilt University Medical Center, Nashville TN 37232, USA
    IEEE Trans Biomed Eng 56:37-44. 2009
    ..Our results show that the microTargeting Platform exhibits submillimetric in vitro accuracy with a mean of 0.42 mm and a 99.9% level of 0.90 mm...
  22. doi Quantifying drug induced dyskinesia in Parkinson's disease patients using standardized videos
    Anusha S Rao
    Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, TN, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:1769-72. 2008
    ..The severity score using our decision function showed a high correlation to the dyskinesia rating of a neurologist on the corresponding patient videos...
  23. pmc Intersurgeon variability in the selection of anterior and posterior commissures and its potential effects on target localization
    Srivatsan Pallavaram
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tenn, USA
    Stereotact Funct Neurosurg 86:113-9. 2008
    ..The additional effect of variation in the selection of the mid-plane on target localization is also evaluated...