Difference between revisions of "2014 Project Week:CardiacCongenitalSegmentation"

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<h3>Objective</h3>
 
<h3>Objective</h3>
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* Develop a semi-automatic segmentation algorithm for cardiac MR images of patients with congenital heart defects.
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* Goal is to build a surface model showing the endocardial and epicardial boundaries, for surgical planning.
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* Challenges:
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** Very large inter-subject variability due to heart defects
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** Intensity inhomogeneities within myocardium and blood pool
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** Similar intensity distributions within adjacent tissues (e.g. liver, chest muscle)
 
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Revision as of 02:02, 5 January 2014

Home < 2014 Project Week:CardiacCongenitalSegmentation

Key Investigators

Danielle Pace, MIT

Polina Golland, MIT

Project Description

Objective

  • Develop a semi-automatic segmentation algorithm for cardiac MR images of patients with congenital heart defects.
  • Goal is to build a surface model showing the endocardial and epicardial boundaries, for surgical planning.
  • Challenges:
    • Very large inter-subject variability due to heart defects
    • Intensity inhomogeneities within myocardium and blood pool
    • Similar intensity distributions within adjacent tissues (e.g. liver, chest muscle)

Approach, Plan

Progress