Multimodal Image Analysis Software for Epilepsy

Information

  • Research Project
  • 9205272
  • ApplicationId
    9205272
  • Core Project Number
    R44NS093889
  • Full Project Number
    5R44NS093889-03
  • Serial Number
    093889
  • FOA Number
    PA-14-071
  • Sub Project Id
  • Project Start Date
    1/1/2016 - 10 years ago
  • Project End Date
    12/31/2017 - 8 years ago
  • Program Officer Name
    BABCOCK, DEBRA J.
  • Budget Start Date
    1/1/2017 - 9 years ago
  • Budget End Date
    12/31/2017 - 8 years ago
  • Fiscal Year
    2017
  • Support Year
    03
  • Suffix
  • Award Notice Date
    1/3/2017 - 9 years ago

Multimodal Image Analysis Software for Epilepsy

? DESCRIPTION (provided by applicant): Epilepsy is a debilitating brain disorder and surgery is the key treatment modality for those patients whose seizures cannot be controlled medically. Epilepsy surgery is complex, requiring multimodal imaging data for planning and execution, and image analysis software is essential for this process. The overall goal of this application is to develop a robust commercial software platform for multimodal image analysis for epilepsy surgery that can obtain regulatory approval for clinical use in both academic and non- academic hospitals. These software tools were developed in part for the needs of our epilepsy research at Yale over the last 10 years under NIH/NIBIB funding and in part internally at Electrical Geodesics Inc. for the brain segmentation, source analysis, and display parts of the forthcoming GeoSource 3.0 software package. The innovation in this proposal lies (i) the development of innovative image analysis methodology that addresses specific needs in epilepsy image analysis and (ii) the translation of tested research software to a new design that will enable its successful transition via regulatory approval to clinical use. The significance of this proposal is that it aims to provide clinically usable epilepsy surgical planning software with explicit support for multimodal image integration and intracranial electrode localization that can be integrated with the image-guided navigation systems used for neurosurgery. This tool would have a major impact on both surgical planning and image-guided epilepsy neurosurgery.

IC Name
NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE
  • Activity
    R44
  • Administering IC
    NS
  • Application Type
    5
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    494022
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    853
  • Ed Inst. Type
  • Funding ICs
    NINDS:494022\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    ELECTRICAL GEODESICS, INC.
  • Organization Department
  • Organization DUNS
    809845365
  • Organization City
    EUGENE
  • Organization State
    OR
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    974013177
  • Organization District
    UNITED STATES