- Meeting abstract
- Open Access
1099 Fully automated segmentation of the left and right ventricles: validation with a large clinical trial
© Lin et al; licensee BioMed Central Ltd. 2008
- Published: 22 October 2008
- Image Segmentation Algorithm
- SSFP Image
- Registration Framework
- Modify Hausdorff Distance
- Segmentation Methodology
Segmentation of the left (LV) and right (RV) ventricles is required for clinical and research studies of cardiac function. Manual analysis by experts is time consuming and also susceptible to intra- and inter-observer variability. Automated segmentation of the LV and RV from SSFP images would remove these problems and allow powerful image segmentation algorithms to process the data prior to presentation to the clinician. Present segmentation techniques for cardiac MR images typically require user interaction or do not cater well for the RV.
To develop a mathematical model based method to automatically segment the LV and RV endocardium and epicardium in the middle short axis (SA) slice, and to validate the method in a large clinical trial.
An efficient fully-automated method for the segmentation of the LV and RV endocardium and epicardium in the middle SA slice is proposed and has been validated using a large clinical dataset. Application of the method to other slices will be investigated in the future.
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