MICCAI 2010

MICCAI 2010 Tutorial Proposal (submitted and under review)

MICCAI main page: http://www.miccai2010.org/

From MICCAI Algorithms to Clinical Translational Tools: The NA-MIC Platform

Outline: MICCAI offers a window on the technological breakthroughs in medical image computing, computer assisted interventions and surgical robotics that will allow for revolutionary progress in clinical care. A critical step to maximize the long-term positive impact of MICCAI algorithms is to foster their deployment, validation and concrete use by the clinical research community for whom they were developed. The objective of the tutorial is to introduce the challenges inherent in delivering advanced medical imaging technologies (image processing, analysis and interventional capabilities) to end users for clinical translational research and to present solutions available in the National Alliance for Medical Image Computing (NA-MIC) open-source software toolkit. The day begins with an overview of the software components of the NA-MIC kit, followed by multiple example applications in current use for clinical research, with a final optional hands-on tutorial session that guides participants through the process of building, testing and deploying an exemplar algorithm using the NA-MIC open-source software toolkit. By the end of the day course participants will know how to use the NA-MIC kit to facilitate greater use of their own algorithms by clinical end users.

Tutorial Faculty

• Ron Kikinis, M.D.
• Guido Gerig, Ph.D.
• Killian Pohl, Ph.D.
• Steve Pieper, Ph.D.
• Noby Hata, Ph.D.
• Dinggang Shen, Ph.D.
• Stephan Aylward, Ph.D.
• Sonia Pujol, Ph.D.
• Xiaodong Tao, Ph.D.
• Martin Styner, Ph.D.
• Sylvain Jaume, Ph.D.?

Workshops academic objectives and justification of relevance to MICCAI

The emergence of increasingly sophisticated mathematical models, image analysis and visualization tools that have followed the rapid development of new medical imaging technologies has led to a better understanding of organ functions in human health and disease. For the past five years, the National Alliance for Medical Image Computing (NA-MIC), one of the seven National Centers for Biomedical Computing (NCBC), part of the NIH Roadmap for medical research, has focused its efforts on the conversion of scientific advances from the biomedical imaging community into an open-source toolkit, so as to improve the availability and deployment of advanced software tools on a national scale.

The NA-MIC toolkit is a set of open-source software packages for medical image computing, which includes 3D Slicer, VTK, ITK, CMake, CTest and BatchMake. 3D Slicer is an end-user application for image analysis and an open-source environment for software development. This deployment platform has been envisioned and designed as a modular software tool that is both easy to use for clinical researchers and easy to extend for programmers.

This tutorial educates participants on the most common obstacles to translating their novel image analysis and computer assisted interventions into clinical research practice and provides open source, freely available solutions to these problems. Multiple examples of clinical research projects that have been recently completed or that are underway are provided to illustrate these issues and solutions. The final optional session is a Hands-On tutorial on how to integrate the NA-MIC toolkit with a third party executable program.

The course uses an exemplar program and pre-computed training MRI datasets. The workshop is intended for scientists and engineers of the medical image analysis community. Pre-requisites include C++ and ITK programming experience.

We believe that building upon the latest open-source analysis tools will help scientists and engineers achieve new technological breakthroughs that will benefit the MICCAI community.

Tutorial format

The tutorial consists of lectures and an optional instructor-led hands-on session with the participants programming on their own laptop computers. A technical training staff will be providing one-to-one assistance as needed.