Abstract
We propose a method for creating a 3-D statistical shape model of the left ventricle from sets of sparse 2-D contour inputs. Since the input contours may not delineate consistent portions of the underlying organ from subject to subject, we apply a model-based approach to make associations (landmarks) between training examples. Included is a measure of confidence in these created landmarks. Statistics on the model shape are garnered via principal component analysis. The results of applying the technique to a 14 subject database are presented.
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© 2001 Springer-Verlag Berlin Heidelberg
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Luo, H., O’Donnell, T. (2001). A 3D Statistical Shape Model for the Left Ventricle of the Heart. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3_203
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DOI: https://doi.org/10.1007/3-540-45468-3_203
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