Shape Analysis Toolbox for Medical Image Computing Projects

Information

  • Research Project
  • 9741133
  • ApplicationId
    9741133
  • Core Project Number
    R01EB021391
  • Full Project Number
    5R01EB021391-05
  • Serial Number
    021391
  • FOA Number
    PA-14-156
  • Sub Project Id
  • Project Start Date
    9/19/2016 - 9 years ago
  • Project End Date
    6/30/2020 - 5 years ago
  • Program Officer Name
    DUAN, QI
  • Budget Start Date
    7/1/2019 - 6 years ago
  • Budget End Date
    6/30/2020 - 5 years ago
  • Fiscal Year
    2019
  • Support Year
    05
  • Suffix
  • Award Notice Date
    6/12/2019 - 6 years ago
Organizations

Shape Analysis Toolbox for Medical Image Computing Projects

? DESCRIPTION (provided by applicant): The work proposed in this application aims to continue the maintenance, expansion, validation and dissemination of the SPHARM-PDM (SPherical HARMonics Point Distributed Models) shape analysis toolbox. Shape analysis is of high interest to the biomedical sciences due to its potential to precisely locate morphological changes in pathological structures. SPHARM-PDM is a successful and popular open-source software tool that has been used by the biomedical research community to analyze the morphology of anatomical structures. Most of the existing shape analysis packages lack of integration with publicly available segmentation software tools and are very complicated to use in general. These are the main reasons why shape analysis studies have been performed mainly by larger labs or through close collaboration with computer scientists that specialize in shape analysis. With this proposal we look into maintaining the core functionalities that made of SPHARM-PDM a successful toolbox, as well as into providing a close integration with important segmentation packages and dramatically extending the toolbox into a general shape analysis toolbox (Shape AnaLysis Toolbox, SALT). New methodologies will provide support for objects of non-spherical topology, skeletal models, four-dimensional (4D) models, and study-specific optimal model correspondence. All new methodologies of SALT will be then tested using three application case scenarios to evaluate the efficacy of the proposed new functionalities and to provide an illustration of usability and best practices for the user community. In parallel with th major development and maintenance efforts, we will continue providing excellent documentation, community resources, and user support.

IC Name
NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING
  • Activity
    R01
  • Administering IC
    EB
  • Application Type
    5
  • Direct Cost Amount
    453639
  • Indirect Cost Amount
    67260
  • Total Cost
    520899
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    286
  • Ed Inst. Type
  • Funding ICs
    NIBIB:520899\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    BDMA
  • Study Section Name
    Biodata Management and Analysis Study Section
  • Organization Name
    KITWARE, INC.
  • Organization Department
  • Organization DUNS
    010926207
  • Organization City
    CLIFTON PARK
  • Organization State
    NY
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    120653104
  • Organization District
    UNITED STATES