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5 CONCLUSIONS
A method for LV image segmentation from an-
giographics sequences was proposed. The pre–
processing stage was based on a mean shift procedure
aimed at performing the smoothing and enhancement
of image contours. A region growing algorithm was
controlled by a seed point located in an image at one
time instant, which was propagated to the rest of in-
stants in order to segment the entire angiographic se-
quence. The comparison was performed based on the
methodology proposed in (Suzuki et al., 2004) which
is also used in (Oost et al., 2006) and (Bravo and Med-
ina, 2008). The validation stage shows that errors are
small. The method allowed to detect LV important
features such as the papillary muscles.
As a future work, a more complete validation is
necessary, including a comparison of estimated pa-
rameters describing the cardiac function with respect
to results obtained using MSCT image modality.
ACKNOWLEDGEMENTS
The authors would like to thank the Investigation
Dean’s Office of Universidad Nacional Experimen-
tal del T´achira and LOCTI grant PR0100401 for their
support to this project.
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