View source for 2014 Project Week:CardiacCongenitalSegmentation

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Image:PW-SLC2014.png|[[2014_Winter_Project_Week#Projects|Projects List]]
Image:Normal_vs_DORV_lrg.gif|Double outlet right ventricle
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==Key Investigators==

Danielle Pace, MIT

Polina Golland, MIT

==Project Description==

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<h3>Objective</h3>
* 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)
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<h3>Approach, Plan</h3>
* Try existing open-source tools for segmentation and registration on the five datasets that we have so far.
* See where these methods fail, to focus our efforts for developing algorithms for segmenting hearts with congenital defects.
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<h3>Progress</h3>
* 
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