# Accelerating Community-Driven Medical Innovation with VTK

> **NIH NIH R01** · KITWARE, INC. · 2021 · $498,914

## Abstract

Abstract
Thousands of medical researchers around the world use VTK —the Visualization Toolkit— an open-source,
freely available software development toolkit providing advanced 3D interactive visualization, image processing
and data analysis algorithms. They either use VTK directly in their in-house research applications or indirectly
via one of the multitude of medical image analysis and bioinformatics applications that is built using VTK:
Osirix, 3D Slicer, BioImageXD, MedINRIA, SCIRun, ParaView, and others. Furthermore, VTK also provides
3D visualizations for clinical applications such as BrainLAB’s VectorVision surgical guidance system and
Zimmer’s prosthesis design and evaluation platform. VTK has been downloaded many hundreds of thousands
of times since its initial release in 1993. Considering its broad distribution and prevalent use, it can be argued
that VTK has had a greater impact on medical research, and patient care, than any other open-source
visualization package.
 This proposal is in response to the multitude of requests we have been receiving from the VTK medical
community. The aims are as follows:
 1. Aim 1: Adaptive visualization framework: Produce an integrated framework that supports
 visualization applications that balance server-side and client-side processing depending on data size,
 analysis requirements, and the user platform (e.g., phone, tablet, or GPU-enabled desktop).
 2. Aim 2: Integrated, interactive applications: Extend VTK to support a diversity of programming
 paradigms ranging from C++ to JavaScript to Python and associated tools such as Jupyter Notebooks,
 integrating with emerging technologies such as deep learning technologies.
 3. Aim 3: Advanced rendering, including AR/VR: Target shader-based rendering systems and AR/VR
 libraries that achieve high frame rates with minimal latency for ubiquitous applications that combine
 low-cost, portable devices such as phones, ultrasound transducers, and other biometric sensors for
 visually monitoring, guiding, and delivering advanced healthcare.
 4. Aim 4: Infrastructure, Outreach, and Validation: Engage the VTK community and the proposed
 External Advisory Board during the creation and assessment of the proposed work and corresponding
 modern, digital documentation in the form of videos and interactive web-based content.

## Key facts

- **NIH application ID:** 10091434
- **Project number:** 5R01EB014955-07
- **Recipient organization:** KITWARE, INC.
- **Principal Investigator:** STEPHEN R AYLWARD
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $498,914
- **Award type:** 5
- **Project period:** 2013-05-01 → 2023-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10091434

## Citation

> US National Institutes of Health, RePORTER application 10091434, Accelerating Community-Driven Medical Innovation with VTK (5R01EB014955-07). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10091434. Licensed CC0.

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