Difference between revisions of "Events:UCSF-Slicer-Training-11-2010"

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This format is used in Slicer to represent the necessary information about a DWI image volume, its anatomical orientation, and all the DWI-specific acquisition parameters for estimating the diffusion tensors. A detailed description of the Nrrd file format usage for DWI images and DTI data can be found [http://wiki.na-mic.org/Wiki/index.php/NAMIC_Wiki:DTI:Nrrd_format here].
 
This format is used in Slicer to represent the necessary information about a DWI image volume, its anatomical orientation, and all the DWI-specific acquisition parameters for estimating the diffusion tensors. A detailed description of the Nrrd file format usage for DWI images and DTI data can be found [http://wiki.na-mic.org/Wiki/index.php/NAMIC_Wiki:DTI:Nrrd_format here].
  
The [http://www.slicer.org/slicerWiki/index.php/Modules:DicomToNRRD-3.6 DicomToNrrd module] in Slicer can be used to convert Dicom data into Nrrd. To convert data from other file formats, such as Nifti, a [http://www.na-mic.org/Wiki/images/7/77/SlicerTraining9_DTI-FromDicomToNrrd.ppt  tutorial ] describes how to construct a nhdr file from a set of images and a list of known gradients using the Teem library.
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The [http://www.slicer.org/slicerWiki/index.php/Modules:DicomToNRRD-3.6 DicomToNrrd module] in Slicer can be used to convert Dicom data into Nrrd. Alternatively, a detailed [http://www.na-mic.org/Wiki/images/7/77/SlicerTraining9_DTI-FromDicomToNrrd.ppt  tutorial] describes how to construct a nhdr file from a set of images, which can be in non-Dicom format such as Nifti, and a list of known gradients using the Teem Library.
  
 
== Local Organizers==
 
== Local Organizers==

Revision as of 21:55, 11 November 2010

Home < Events:UCSF-Slicer-Training-11-2010

Logistics

Class photo 1
Class photo 2
Cable car


Location: UCSF (3rd floor) China basin campus

Date: Tuesday November 9, 2010

Registration: To sign-up for this event, please fill in the registration form and send it by e-mail to Jason Crane, PhD [jason.crane at ucsf.edu] before Friday November 5.

Tentative Agenda

Notes on the Nrrd file format

The Nrrd file format, which is part of the NA-MIC kit, accurately represents N-dimensional raster information for scientific visualization and medical image processing. This format is used in Slicer to represent the necessary information about a DWI image volume, its anatomical orientation, and all the DWI-specific acquisition parameters for estimating the diffusion tensors. A detailed description of the Nrrd file format usage for DWI images and DTI data can be found here.

The DicomToNrrd module in Slicer can be used to convert Dicom data into Nrrd. Alternatively, a detailed tutorial describes how to construct a nhdr file from a set of images, which can be in non-Dicom format such as Nifti, and a list of known gradients using the Teem Library.

Local Organizers

  • Jason Crane, PhD, Department of Radiology and Biomedical Imaging, UCSF
  • Sarah Nelson, PhD, Department of Radiology and Biomedical Imaging, UCSF
  • Daniel Rubin, MD, MS, Department of Radiology, Stanford University


Teaching Faculty

  • Ron Kikinis, M.D., Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School
  • Sonia Pujol, Ph.D., Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School
  • Nobuhiko Hata, Ph.D., Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School

Preparation for the Workshop

The workshop combines oral presentations and instructor-led hands-on sessions with the participants working on their own laptop computers. All participants are required to come with their own laptop computer and install the software and datasets prior to the event.. A minimum of 1 GB of RAM (2 GB if possible) and a dedicated graphic accelerator with 64mb of on board graphic memory are required.

Please install the Slicer3.6.1 version appropriate to the laptop computer you'll be bringing to the tutorial:


Please download the 3D Visualization dataset,Registration dataset and Diffusion dataset in preparation for the workshop.

Slicer3 Training Survey

Click here to take the Slicer3 Training Survey


Back to Events 2010