Difference between revisions of "Events:RSNA CTSA 2009"
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Location: IA21<br><br> | Location: IA21<br><br> | ||
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* to enhance interpretation of DICOM images through the use of 3D visualization and analysis | * to enhance interpretation of DICOM images through the use of 3D visualization and analysis | ||
* to gain experience with interactive, quantitative assessment of complex anatomical structures and functional images | * to gain experience with interactive, quantitative assessment of complex anatomical structures and functional images |
Revision as of 18:41, 23 October 2009
Home < Events:RSNA CTSA 2009
Contents
Logistics
RSNA, McCormick Place
Date: Monday November 30, 2009
Time: 2:30 - 4:00 PM
Location: IA21
Objectives
- to enhance interpretation of DICOM images through the use of 3D visualization and analysis
- to gain experience with interactive, quantitative assessment of complex anatomical structures and functional images
- to present current directions of quantitative imaging as a biomarker in clinical trials
Upon completion of this course, participants should be able to
- Describe the methods used for basic analysis of quantitative imaging parameters
- Describe the principles of image registration, segmentation, and volume measurement, and select and use appropriate software for 3D reconstruction
- Identify key analysis and acquisition requirements for multi-center quantitative studies
- Evaluate the impact of quantitative analysis methodology on their research interest
Agenda
- 15 min (Kasia Macura): Overview of imaging biomarkers and their use in clinical trials
- 15 min (Randy Gollub): Generic principles of image registration, segmentation, visualization (technical aspects)
- 60 min (Jeff Yap+ others): Description and hands-on interactive demo for each of the imaging biomarkers and requirements for standardized acquisition in multi-center trials (e.g. RSNA QIBA)
- Hands-On: Volumetric MR analysis: tumor growth anaysis and measurements (~10 minutes)
- Hands-On: FDG-PET/CT (pre/post-therapy whole-body imaging with SUV quantification) (~10 minutes)
- DCE-MRI (~10 minutes)