This page will contain information about the upcoming BioImage Suite training course to be taught at Yale University beginning on Thursday, Jan 24th. This will consist of a number of weekly sessions and all notes/examples/test-data from this course will be made available through this webpage.

Provisional Course Outline

The Course will take place on Thursdays at 11:30 am in TAC N137 (the Yale MRRC Conference Room). Handouts and data will be made available via this webpage to both local and interested outside users. The schedule below is provisional and is subject to change.

Core Course

This will be a 14 week course on BioImage Suite with an emphasis on neuroimaging.
  1. Overview, Installing BioImage Suite on Mac/Win/Linux -- Jan 24
  2. Looking at Images -- Jan 31
  3. More Advanced Visualization -- Feb 7
  4. Basic Image Manipulation -- Feb 14
  5. Interactive Segmentation Tool -- Feb 21
  6. Example data for this session can be found here.

  7. Bias Field Correction and Tissue Classification -- Feb 28
  8. Example data for this session can be found here.

  9. Linear Registration -- March 6
  10. This presentation from 2003 provides some useful background. [ pdf file] ,[powerpoint slides)] Example data for this session can be found here.

  11. Non Linear Intensity Based Registration -- March 27
  12. Example data for this session can be found here.

  13. Landmarks, Surfaces and Point-Based Registration -- April 3
  14. Multi-Subject Analysis -- The Multisubject Control -- April 10
  15. Diffusion Weighted Image Analysis -- May 1
  16. fMRI Analysis -- May 15


Special Sessions

A number of Special Sessions will be held in parallel with the main course for smaller groups.
  1. Neurosurgery Tools -- Date to be determined
  2. Cardiac Deformation Estimation -- Date to be determined
  3. Vascular Image Analysis -- Date to be determined
  4. Mouse micro-CT Image Analysis -- Date to be determined




See the main BioImage Suite (www.bioimagesuite.org) webpage for more details on BioImage Suite.

We acknowledge support from the National Institutes of Health (NIH)/National Institute of Biomedical Imaging and Bioengineering (NIBIB) under grant R01 EB006494.