Shape Analysis Toolbox: From medical images to quantitative insights of anatomy

NIH RePORTER · NIH · R01 · $466,624 · view on reporter.nih.gov ↗

Abstract

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.

Key facts

NIH application ID
10812491
Project number
5R01EB021391-08
Recipient
KITWARE, INC.
Principal Investigator
Beatriz Paniagua
Activity code
R01
Funding institute
NIH
Fiscal year
2024
Award amount
$466,624
Award type
5
Project period
2016-09-19 → 2026-03-31