Shape Analysis Toolbox: From medical images to quantitative insights of anatomy
Project Number5R01EB021391-08
Former Number2R01EB021391-06
Contact PI/Project LeaderPANIAGUA, BEATRIZ
Awardee OrganizationKITWARE, INC.
Description
Abstract Text
PROJECT SUMMARY
Three-dimensional shape lies at the core of understanding the physical objects that surround us. The Shape
AnaLysis Toolbox (SALT) was created to be a dissemination vehicle for advanced shape modeling and
analysis methodology as an open-source, comprehensive and freely distributed software. Over the past four
years, we have been successful in increasing the ease of use and effectiveness of state-of-the-art shape
analysis methodology for biomedical researchers in need of such techniques.
We now propose necessary and novel enhancements to our methods and our dissemination model in order to
continue maximizing the success of SALT. We will also modify the architecture of SALT to better integrate
biomedical imaging research workflows by improving the efficiency and scripting capabilities so SlicerSALT
can be deployed in batch mode for large-scale sequential computations. We will also shift our focus from
shape modeling into state-of-the-art statistical shape analysis methodologies, necessary to serve clinical
applications and to increase the interpretability of shape biomarkers. We will continue to disseminate novel
example applications that best demonstrate how to use our tools to perform impactful research and will provide
fully digital documentation for user support.
The ultimate goal of SlicerSALT is to maximize the potential benefits of the geometric information contained in
medical data and to expand its use beyond simple visualization to support clinical research.
Public Health Relevance Statement
PROJECT NARRATIVE
Slicer Shape AnaLysis Toolbox (SALT) was developed as an open-source, free comprehensive software that
allows biomedical scientists to precisely locate shape changes in their imaging studies. This proposal is
designed to increase the continued success of SALT by recognizing that shape models and dynamic
anatomical changes are challenging to interpret despite quantification of the geometry of physical objects. We
will address this need by incorporating state-of-the-art and interpretable shape statistics methodology into
SALT and new driving biological problems to illustrate their utility while continuing to provide effective user
support.
National Institute of Biomedical Imaging and Bioengineering
CFDA Code
286
DUNS Number
010926207
UEI
DK6LPWMS5LP5
Project Start Date
19-September-2016
Project End Date
31-March-2026
Budget Start Date
01-April-2024
Budget End Date
31-March-2026
Project Funding Information for 2024
Total Funding
$466,624
Direct Costs
$271,130
Indirect Costs
$195,494
Year
Funding IC
FY Total Cost by IC
2024
National Institute of Biomedical Imaging and Bioengineering
$466,624
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 5R01EB021391-08
Publications
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No Publications available for 5R01EB021391-08
Patents
No Patents information available for 5R01EB021391-08
Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 5R01EB021391-08
Clinical Studies
No Clinical Studies information available for 5R01EB021391-08
News and More
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History
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Similar Projects
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