Automated brain parcellation and morphometry

Information

  • Research Project
  • 6647506
  • ApplicationId
    6647506
  • Core Project Number
    R44MH070515
  • Full Project Number
    9R44MH070515-02
  • Serial Number
    70515
  • FOA Number
  • Sub Project Id
  • Project Start Date
    6/15/2002 - 23 years ago
  • Project End Date
    8/31/2005 - 20 years ago
  • Program Officer Name
    MICHEL, MARY E
  • Budget Start Date
    9/1/2003 - 22 years ago
  • Budget End Date
    8/31/2004 - 21 years ago
  • Fiscal Year
    2003
  • Support Year
    2
  • Suffix
  • Award Notice Date
    9/1/2003 - 22 years ago
Organizations

Automated brain parcellation and morphometry

[unreadable] DESCRIPTION (provided by applicant): [unreadable] Neurodegenerative disorders, psychiatric disorders, and healthy aging are all are frequently associated with structural changes in the brain These changes can cause alterations in the imaging properties of brain tissue, as well as changes in morphometric properties of the brain, such as volume, folding and surface area Current analysis techniques require extensive manual intervention by a skilled operator, and in addition are highly sensitive to the pulse sequence and scanner that is used to obtain the data The ultimate goal of this project is to develop a set of automated tools for exhaustive labeling of the cerebral volume (cortical and sub cortical) to identify disease-specific changes related to neurodegenerative disorders such as Alzheimer's disease These procedures are based on intrinsic properties of brain tissue, therefore they will function reliably on MRI datasets regardless of the pulse sequence or manufacturer of the scanner from which they were originally obtained. [unreadable] [unreadable] The proposed software is designed to lead to substantial improvement over current methods for automated quantification of brain morphology These segmentation procedures will be commercialized as a novel image processing service for clinical drug trials and large multi-center research studies utilizing an integrated software pipeline that is robust, scalable, rapid and highly automatic Additionally this technology will be implemented as plug-in software that may be embedded within a MRI scanner's operating system to provide these quantification technologies to clinical users. [unreadable] [unreadable]

IC Name
NATIONAL INSTITUTE OF MENTAL HEALTH
  • Activity
    R44
  • Administering IC
    MH
  • Application Type
    9
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    449513
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    242
  • Ed Inst. Type
  • Funding ICs
    NIMH:449513\
  • Funding Mechanism
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    CORTECHS LABS, INC.
  • Organization Department
  • Organization DUNS
    086086498
  • Organization City
    LA JOLLA
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    920374193
  • Organization District
    UNITED STATES