Difference between revisions of "Events:RSNA 2010"

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As part of the outreach missions of these NIH funded National Centers, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The course along with the tutorial 3D Visualization datasets aim to introduce translational clinical scientists to the capabilities of the 3D Slicer software.
 
As part of the outreach missions of these NIH funded National Centers, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The course along with the tutorial 3D Visualization datasets aim to introduce translational clinical scientists to the capabilities of the 3D Slicer software.
 
   
 
   
== Logistics ==
 
  
  DATE: Monday, November 29 2010
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==Logistics ==
START TIME: 02:30 PM
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*Date: Monday November 29, 2010
END TIME: 04:00 PM
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*Time: 2:30-4:00 pm
  LOCATION: S401CD
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*Location: S401CD, McCormick Place, Chicago, Illinois
COURSE: IA22
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*Course: IA22
  
  
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== How to sign up ==
 
== How to sign up ==
  
=Logistics  =
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*Date: Monday November 29, 2010
 
*Time: 2:30-4:00 pm
 
*Location:  McCormick Place, Chicago, Illinois
 
  
 
Back to [http://www.na-mic.org/Wiki/index.php/Events NA-MIC Events]
 
Back to [http://www.na-mic.org/Wiki/index.php/Events NA-MIC Events]

Revision as of 14:41, 17 November 2010

Home < Events:RSNA 2010

NA-MIC and NAC at RSNA

Introduction

The 3D Interactive Visualization of DICOM Images with Slicer course is offered by the National Alliance for Medical Image Computing (NA-MIC) in conjunction with the Neuroimage Analysis Center (NAC) at the 96th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2010).

As part of the outreach missions of these NIH funded National Centers, we have developed an offering of freely available, multi-platforms open source software to enable medical image analysis research. The course along with the tutorial 3D Visualization datasets aim to introduce translational clinical scientists to the capabilities of the 3D Slicer software.


Logistics

  • Date: Monday November 29, 2010
  • Time: 2:30-4:00 pm
  • Location: S401CD, McCormick Place, Chicago, Illinois
  • Course: IA22


LEARNING OBJECTIVES

  • Enhance interpretation of DICOM images through the use of computer-assisted 3D visualization,
  • Enhance the understanding of the correlation of the segments of the liver with the surrounding vascular anatomy,
  • Introduce cutting-edge open-source computer graphics applications for Radiology.

ABSTRACT

Three-dimensional visualization of the anatomy is being made possible through the combined emergence of technological breakthroughs in Radiology hardware and increasingly sophisticated software tools for medical image analysis.

For the past six years, the National Alliance for Medical Image Computing (NA-MIC), one of the seven National Centers for Biomedical Computing, part of the NIH Roadmap for medical research, has converted some of the major scientific advances made by the biomedical imaging community into open-source software tools, contributing fasten the deployment of cutting-edge visualization techniques on a national and international scale.

As part of the NA-MIC toolkit, the 3D SLICER open-source software has been developed as a technology delivery platform for clinical researchers. 3D SLICER has become a multi-institution effort to share the latest advances in image analysis with the scientific and clinical community. To foster the translation of NA-MIC technology to clinical research applications, the NA-MIC Training Core has developed a series of workshop and tutorials using the 3DSLICER software.

This workshop is an introduction to the basics of viewing and interacting with DICOM volumes in 3D using the SLICER software. The 90 minute course is divided into two sections: the first part introduces the concepts of 3D visualization through an hands-on training session using two MR DICOM datasets of the brain and 3D reconstructed models of cerebral structures; the second part guides the user through the exploration of abdominal structures using a series of models, which include the segments of the liver, reconstructed from DICOM images of three clinical cases. Interactions with the 3D models are fostered by a series of ten radiological tasks to accomplish by the participants. Detailed answers to the tasks are provided during the workshop as the instructors guide the audience through the 3D visualization settings to enhance the understanding of the complexity of the anatomical structures involved.

How to sign up

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