IntellMR 2014
INTELLIGENT IMAGING LINKING MR ACQUISITION AND PROCESSING
   
     
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IMPORTANT DATES
** Extended deadline **
June 29, 2014 (midnight PST):
Paper Submission

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July 9, 2014:
Notification of Acceptance

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July 18, 2014:
Camera-Ready Papers
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September 18, 2014:
Tutorial/Workshop  

  TUTORIAL/WORKSHOP OVERVIEW

Integration of structural and functional information, artifact correction and motion correction in MRI/fMRI are ongoing topics in the medical imaging community. Specifically, brain function, cardiac, lung and neonatal MRI have been fast growing areas of interest in medical imaging, that demand more integrated approaches in image acquisition, processing and analysis. Emerging methodologies in MRI design and acquisition would benefit from robust image registration and processing tools that can efficiently support clinical utilities of functional as well as anatomical data.

Following the 2013ís full day tutorial, this yearís morning tutorial will provide discussions on basic MR physics and currently utilized acquisition techniques followed by the afternoon workshop which will allow a forum for submitted paper presentations and discussions of the latest development in brain and cardiac functional imaging, integrated functional/structural analyses, registration and image processing tools, that support and enhance the clinical applications of MRI technologies. This workshop emphasizes interaction between MR scientists, engineers and image processing groups on MRI, fMRI, image distortion, image registration, accelerated imaging, motion artifacts, magnetic susceptibility effects.

Objectives of this workshop are:
• introduction to basic MR physics and current advances in MRI/fMRI for bridging interest of students and researchers in the field of medical image processing and MR imaging science.
• discussion of the current and potential MR image acquisition, registration and processing algorithms that support and enhance the clinical MRI applications.
• discussion of current state of clinical utilities and technical challenges encountered in clinical or research applications.