Difference between revisions of "Events: DTI Tractography Challenge MICCAI 2011"
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To register for the workshop, please visit the [http://www.miccai2011.org/ MICCAI 2011 conference website]. | To register for the workshop, please visit the [http://www.miccai2011.org/ MICCAI 2011 conference website]. | ||
For questions related to this event, please send an e-mail to Sonia Pujol (spujol at bwh.harvard.edu). | For questions related to this event, please send an e-mail to Sonia Pujol (spujol at bwh.harvard.edu). | ||
| + | |||
| + | ==Submission== | ||
| + | Participants will be required to submit their tractography results and a short paper describing their analysis. | ||
| + | The paper should include the following elements 1) a presentation of the DTI analysis pipeline, 2) a description of the tractography technique and parameters used, and 3) a set of images showing at the reconstructed tracts in the neurosurgical context. Additional material such as short videos to supplement the submission are encouraged, but not mandatory. | ||
Dead-line for submission: June 1st, 2011. | Dead-line for submission: June 1st, 2011. | ||
| + | Submission procedeure: TBA | ||
==Datasets== | ==Datasets== | ||
| − | + | The workshop datasets will consist of four neurosurgical cases and two healthy subjects. | |
| − | *Case 1 | + | *Clinical Case 1: |
| − | *Case 2 | + | *Clinical Case 2: |
| − | *Case 3 | + | *Clinical Case 3: |
| − | *Case 4 | + | *Clinical Case 4: |
| − | *Subject 1 | + | *Control Subject 1: |
| − | *Subject 2 | + | *Control Subject 2: |
| + | |||
| + | ==Submissions== | ||
| + | Participants will be required to | ||
Revision as of 20:23, 11 March 2011
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Contents
DTI Tractography for Neurosurgical Planning: A Grand Challenge
Outline: Diffusion Tensor Imaging (DTI) tractography has a unique potential for neurosurgical planning since it provides a window on the organization of white matter pathways in-vivo. During the past decade, the MICCAI community has been a major contributor to the development and refinement of a wide variety of advanced tractography techniques. This workshop will give participants the opportunity to evaluate the performances of their tractography algorithms in a neurosurgical context. Participants will gain insights on the currently available gold-standard for evaluating tractography results in the Operating Room, in the absence of ground truth.
Faculty
- Sonia Pujol, Ph.D., Surgical Planning Laboratory, Brigham and Women’s Hospital, Harvard Medical School
- Ron Kikinis, M.D., Surgical Planning Laboratory, Brigham and Women’s Hospital, Harvard Medical School
- Alexandra Golby, M.D., Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School
- Guido Gerig, Ph.D.,The Scientific Computing and Imaging Institute, University of Utah
- Martin Styner, Ph.D., Neuro Image Research and Analysis Laboratory, University of North Carolina
- William Wells, Ph.D., Surgical Planning Laboratory, Brigham and Women’s Hospital, Harvard Medical School
- Carl-Fredrik Westin, Ph.D., Laboratory of Mathematics in Imaging, Brigham and Women’s Hospital, Harvard Medical School
Logistics
The DTI Tractography Challenge workshop will be held on Sunday September 18, 2011 at the Westin Harbour Castle, 1 Harbour Square, Toronto, Canada. To register for the workshop, please visit the MICCAI 2011 conference website. For questions related to this event, please send an e-mail to Sonia Pujol (spujol at bwh.harvard.edu).
Submission
Participants will be required to submit their tractography results and a short paper describing their analysis. The paper should include the following elements 1) a presentation of the DTI analysis pipeline, 2) a description of the tractography technique and parameters used, and 3) a set of images showing at the reconstructed tracts in the neurosurgical context. Additional material such as short videos to supplement the submission are encouraged, but not mandatory.
Dead-line for submission: June 1st, 2011. Submission procedeure: TBA
Datasets
The workshop datasets will consist of four neurosurgical cases and two healthy subjects.
- Clinical Case 1:
- Clinical Case 2:
- Clinical Case 3:
- Clinical Case 4:
- Control Subject 1:
- Control Subject 2:
Submissions
Participants will be required to
