Slicer-IGT

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Disclaimer

Slicer and Slicer for IGT have been designed for research purposes only and have not been reviewed or approved by the Food and Drug Administration or by any other agency. YOU ACKNOWLEDGE AND AGREE THAT CLINICAL APPLICATIONS ARE NEITHER RECOMMENDED NOR ADVISED. Read the [License for Slicer] for details. One may use Slicer for Image Guided Therapy (IGT) in clinical studies at his/her own risk after approval from his/her institution through its own IRB certification procedure. The example clinical cases listed in this website are either from mock-up or clinical validation study approved by IRB that weighed the merit against the risk of using Slicer for IGT, which is not recommended for clinical use. For more information about the human clinical trials, visit NIH-NCI web site [1].

People

Sandy Wells (U41 Computational Core PI)
Nobuhiko Hata, PhD (Slicer IGT Project Director)
Alex Golby, MD (Neurosurgery)
Haiying Liu, MS (Senior Engineer)
Clare Tempany, MD (Prostate Therapy)

Overview

This is a project page for Slicer for Image Guided Therapy. 3D Slicer (simply Slicer) is a multi-platform, free open source software (FOSS) for visualization and image computing. The project is aimed at extending Slicer for Image Guided Therapy.

  • Free open-source software for Image Guided Therapy research
  • Provides software foundation (GUI, Image I/O, 3D viewer, tracker support), and you can focus on developping your original clinical application
  • Available for Windows, Mac, Linux
  • Access to state-of-art scientific medical image processing algorithms as well as most of commercial tracking devices
  • Affiliated scientific workshops and seminars to discuss and exchange ideas
  • Increasing visibility of your research in IGT community using popular software platform
  • Available for commercialization by concealing proprietary codes*

(*) Acknowledgment needed

Slicer for Image Guided Therapy

Contact Information

Nobuhiko Hata leads the development of Slicer for IGT at National Center for Image Guided Therapy. For more information please email him at: hata {at-mark} bwh.harvard.edu

Links

  1. Collaborators and Sponsors
  2. Internal Developers Page (authorization required)
  3. GPU accelerated medical image processing for IGT
  4. VTK-Mist integration for fast volume rendering

Events