Difference between revisions of "2014 Project Week:CardiacCongenitalSegmentation"
From NAMIC Wiki
| Line 2: | Line 2: | ||
<gallery> | <gallery> | ||
Image:PW-SLC2014.png|[[2014_Winter_Project_Week#Projects|Projects List]] | Image:PW-SLC2014.png|[[2014_Winter_Project_Week#Projects|Projects List]] | ||
| + | Image:Normal_vs_DORV_lrg.gif|Double outlet right ventricle | ||
</gallery> | </gallery> | ||
Revision as of 02:13, 5 January 2014
Home < 2014 Project Week:CardiacCongenitalSegmentation
Double outlet right ventricle
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
- 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.
