A 3D Statistical Shape Model for the Left Ventricle of the Heart

Authors:
Hui Luo;Thomas O'Donnell
Affiliations:
-;-
Venue:
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Year:
2001

Citing 2
Cited 1

Generation of point-based 3D statistical shape models for anatomical objects

Computer Vision and Image Understanding - Special issue on analysis of volumetric image
Building a Complete Surface Model from Sparse Data Using Statistical Shape Models: Application to Computer Assisted Knee Surgery System

MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention

Large scale left ventricular shape atlas using automated model fitting to contours

FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart

Quantified Score

Hi-index	0.00

Visualization

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.