2007 ILS Course: Difference between revisions

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Image Analysis for Medical Research
= Image Analysis for Medical Research =


This course introduces attendees to several open-source, freely available toolkits and applications for pre-clinical medical image analysis and visualization.
This course introduces attendees to open-source, freely available toolkits for pre-clinical medical image analysis and visualization.


Driving research areas to be specifically addressed include:
 
== Course overview ==
 
Date
* March 1 and 2, 2007
 
Location
* ILS, Inc. - Research Triangle Park, NC
 
 
Throughout the course, emphasis will be placed on solving real-world research problems and on providing hands-on experience.
 
 
Driving research problems to be addressed include:
* Small animal image analysis
* Small animal image analysis
* Tumor volume estimation and tracking
* Tumor volume estimation and tracking
* CT/PET image registration
* CT/PET image registration
* Histology reconstruction
* Histology reconstruction


Technologies covered include:
Technologies covered include:
Line 16: Line 30:
* ITK's image registration tools, segmentation tools, and derived tools
* ITK's image registration tools, segmentation tools, and derived tools
* Kitware's [http://www.kitware.com/products/volview.html VolView] and [http://www.paraview.org ParaView] applications
* Kitware's [http://www.kitware.com/products/volview.html VolView] and [http://www.paraview.org ParaView] applications
*
 
== Agenda ==
 
The following agenda is tentative.  A short survey is included with the enrollment form, and your answers will influence the final agenda.
 
* Day 1 (8:00am - 5:00pm)
** Introduction to ILS and Kitware
** Open-source challenges and opportunities in medical image analysis
** Medical image data
*** CT, MR, PET, etc.
** Trends in medical image analysis
** Web-based image archives
** Applications for image analysis
*** VolView, ParaView, Vetot, Snap, ImageRegTool
** An intro to ITK Programming
 
* Day 2 (8:00am - 2:00pm)
** Open-source resources for medical image analysis
** Dashboards and CMake
** Insight Segmentation
** Insight Registration
 
== Enroll ==
 
'''Download enrollment form and survey''' ''(coming soon!)''
 
Cost per attendee is being finalized.
 
In addition to two days of instruction, attendees will receive
* The Insight Software Guide (over 850 pages with illustrations)
* The Visualization Toolkit User’s Guide.
* Access to open-source software on the web
 
Attendees are expected to bring a high-end laptop computer with wireless connectivity. 
 
''Space is very limited, so register early to ensure availability.''
 
== For more information contact ==
 
Jean-Philippe Guyon<br>
ILS, Inc.<br>
(919) 281-1110 <br>
jguyon@ils-inc.com <br>
 
== Instructors ==
* Stephen R. Aylward, Ph.D., is Chief Medical Scientist at Kitware, Inc.  He also serves as President of the Insight Software Consortium, a non-profit organization that promotes open-source software for medical image analysis.  Dr. Aylward was a tenured Associate Professor of Radiology, Computer Science, and Surgery at UNC prior to joining Kitware.
* Julien Jomier is Staff Research Scientist at Kitware, Inc. and a lead developer of ITK.
* Jean-Philippe Guyon is lead image analysis scientist at ILS, Inc.  He is also a contributor to ITK and VTK.

Latest revision as of 19:24, 11 June 2007

Image Analysis for Medical Research

This course introduces attendees to open-source, freely available toolkits for pre-clinical medical image analysis and visualization.


Course overview

Date

  • March 1 and 2, 2007

Location

  • ILS, Inc. - Research Triangle Park, NC


Throughout the course, emphasis will be placed on solving real-world research problems and on providing hands-on experience.


Driving research problems to be addressed include:

  • Small animal image analysis
  • Tumor volume estimation and tracking
  • CT/PET image registration
  • Histology reconstruction


Technologies covered include:

  • CT, MR, PET image processing
  • Web-based image collection, distribution, and archiving.
  • The Insight Toolkit for medical image segmentation and registration (ITK)
  • The Visualization Toolkit (VTK)
  • ITK's image registration tools, segmentation tools, and derived tools
  • Kitware's VolView and ParaView applications

Agenda

The following agenda is tentative. A short survey is included with the enrollment form, and your answers will influence the final agenda.

  • Day 1 (8:00am - 5:00pm)
    • Introduction to ILS and Kitware
    • Open-source challenges and opportunities in medical image analysis
    • Medical image data
      • CT, MR, PET, etc.
    • Trends in medical image analysis
    • Web-based image archives
    • Applications for image analysis
      • VolView, ParaView, Vetot, Snap, ImageRegTool
    • An intro to ITK Programming
  • Day 2 (8:00am - 2:00pm)
    • Open-source resources for medical image analysis
    • Dashboards and CMake
    • Insight Segmentation
    • Insight Registration

Enroll

Download enrollment form and survey (coming soon!)

Cost per attendee is being finalized.

In addition to two days of instruction, attendees will receive

  • The Insight Software Guide (over 850 pages with illustrations)
  • The Visualization Toolkit User’s Guide.
  • Access to open-source software on the web

Attendees are expected to bring a high-end laptop computer with wireless connectivity.

Space is very limited, so register early to ensure availability.

For more information contact

Jean-Philippe Guyon
ILS, Inc.
(919) 281-1110
jguyon@ils-inc.com

Instructors

  • Stephen R. Aylward, Ph.D., is Chief Medical Scientist at Kitware, Inc. He also serves as President of the Insight Software Consortium, a non-profit organization that promotes open-source software for medical image analysis. Dr. Aylward was a tenured Associate Professor of Radiology, Computer Science, and Surgery at UNC prior to joining Kitware.
  • Julien Jomier is Staff Research Scientist at Kitware, Inc. and a lead developer of ITK.
  • Jean-Philippe Guyon is lead image analysis scientist at ILS, Inc. He is also a contributor to ITK and VTK.
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