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.

Through concrete examples drawn from the translational research efforts of NA-MIC, this tutorial provides insights on practical approaches for bridging the gap between the scientific advances made by the biomedical imaging community and their widespread use in the clinical research community. 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.

Organizers

• Ron Kikinis, M.D.
• Guido Gerig, Ph.D.
• Sonia Pujol, Ph.D.
• Martin Styner, Ph.D.
• Steve Pieper, Ph.D.

Speakers

• 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.

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.

Tentative Agenda

• 9:00 am - 9:15 am: Overview of the National Alliance for Medical Image Computing (NA-MIC) (Kikinis)
• 9:15 am - 9:45 am: Exploring further: Batch processing for parameter space exploration and large-scale experiments (Pieper/Kikinis/Pujol)
• 9:45 am -10:15 am: ‘Hardening’ your software with the NA-MIC kit, regression tests and dashboard (Aylward/Tao) 10:15 am - 10:30 am: Morning Tea/Coffee Break
• 10:30 am - 11:00 am: Building bridges between complementary medical image analysis platforms (e.g. Freesurfer, BRAINS2, HAMMER) (Pieper/Pujol)
• 11:00 am - 11:30 am: How to participate in NA-MIC: collaboration grants, user and developer community (Kikinis)
• 11:30 am - 12:30 pm: Lunch on your own
• 12:30 pm - 3:15 pm: Exemplar Clinical Research Applications
• 12:30 pm - 1:00 pm: Image Registration (Dinggang Shen)
• 1:00 pm - 1:30 pm: Cortical Thickness Measurements (Styner)
• 1:30 pm - 2:00 pm: EM Segmentation (Gerig/Pohl)
• 2:00 pm - 2:30 pm: Diffusion Tensor Imaging (Gerig/Pujol/Styner)
• 2:30 pm ¬- 3:00 pm: Image-Guided Therapy (Hata)
• 3:00 pm - 3:15 pm: Afternoon Tea/Coffee Break
• 3:15 pm - 3:45 pm: Other examples from the community (Kikinis)
• 3:45 pm - 5:15 pm: Optional Hands-on Session: Interfacing your MICCAI algorithm with the NA-MIC open-source toolkit: the ‘Hello New World’ tutorial (Pujol)
• 5:15 pm - 6:00 pm: Open Discussion and one-on-one consultations for individual projects

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-on-one assistance as needed.

Further details including registration information will be posted upon acceptance.