CARS2013

Objective

• About the National Alliance for Medical Image Computing: Over the past seven 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 transfer of the latest advances in biomedical image analysis to the clinical and scientific community, through the development and dissemination of open source tools. As part of the NA-MIC toolkit, the 3D Slicer open-source software has been developed as a technology delivery platform that is both easy to use for clinical researchers, and easy to extend for software developers. To foster the translation of NA-MIC technology to clinical research applications, the NA-MIC Training Core has developed a series of courses and tutorials on medical image analysis topics using NA-MIC open-source tools. The goal of this workshop is to provide the members of the CARS community with a practical experience of the image processing and 3D visualization capabilities of NA-MIC tools for image-guided therapy research. The workshop is intended for clinicians and engineers, and will combine a series of lectures and hands-on sessions on image-guided therapy.

• About the MITK (Medical Imaging Interaction Toolkit) open-source environment:

The workshop will be held as part of the 27th International Congress on Computer Assisted Radiology and Surgery (CARS 2013)

Dates and Location:

• Date: Saturday June 30, 2013
• Location: Heidelberg, Germany

Training Faculty and Organizers

This workshop is a joint event of the National Alliance for Medical Image Computing (NA-MIC) and the German Cancer Research Center.

National Alliance for Medical Image Computing

• Sonia Pujol, Ph.D., Brigham and Women's Hospital, Harvard Medical School, Boston, USA
• Noby Hata, Ph.D., Brigham and Women's Hospital, Harvard Medical School, Boston, USA
• Ron Kikinis, M.D., Brigham and Women's Hospital, Harvard Medical School, Boston, USA
• Gabor Fichtinger, Ph.D., Queen’s University, Kingston, Ontario, Canada
• Steve Pieper, Ph.D., Isomics Inc, Cambridge, MA, USA

German Cancer Research Center

• Marco Nolden, German Cancer Research Center, Heidelberg, Germany
• Dr. Alexander Seitel, German Cancer Research Center, Heidelberg, Germany
• Sascha Zelzer, German Cancer Research Center, Heidelberg, Germany
• Prof. Dr. Hans-Peter Meinzer, Ph.D., German Cancer Research Center, Heidelberg, Germany

CARS 2013 IGT workshop - Tentative Agenda

• 8:30-8:35 Opening remarks and Introduction
• 8:35-8:45 Presentation of the NA-MIC (Sonia Pujol)
• 8:45-9:15 Open-source software for Medical Image Computing and Computer Assisted Interventions (Steve Pieper): An introduction to CTK
• 9:15-9:45 Rapid prototyping of US-guided needle placement applications (Gabor Fichtinger)
• 9:45-10:15 Device integration for Image-Guided Therapy (Noby Hata)
• 10:15-10:30 Coffee-Break
• 10:30-10:45 DTI Tractography for Neurosurgery (Sonia Pujol)
• 10:45-12:00 Hands-on 3D Slicer session: Neurosurgical Planning Tutorial (Sonia Pujol)
• 12:00-13:00 Lunch break
• 13:00-17:00 MITK session
  • Introduction to MITK
  • Software framework for IGT applications (MITK, MITK-US, MITK-IGT)
• 15:00-15:30 Coffee break
  • IGT demos (e.g. abdominal interventions and/or vasculature segmentation)
  • Hands-on programming session on interoperability (tentative)

CARS 2013 CTK Session - Tentative Agenda

• Introduction to CTK
• Introduction to Slicer
• Introduction to MITK
• Presentation of other CTK member packages
• Panel discussion with all CTK members

Registration

To sign-up for the workshop, please visit the CARS 2013 website.

Preparation for the Workshop

The workshop combines oral presentations and instructor-led hands-on sessions with the participants working on their own laptop computers. A technical training staff will be providing one-to-one assistance as needed. All participants are required to come with their own computer and install the Slicer version 4.2.1 software and the White Matter Exploration dataset.

Windows, Linux or MacOS Lion are supported. A minimum of 4GB of RAM (8 GB or more are recommended) and a dedicated graphic accelerator with 1GB of on board graphic memory are required.

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