Robot Vision
A Variational Approach for the Segmentation of the Left Ventricle in Cardiac Image Analysis
International Journal of Computer Vision
Differential Structure in non-Linear Image Embedding Functions
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 1 - Volume 01
Isomap and Nonparametric Models of Image Deformation
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Unsupervised learning of image manifolds by semidefinite programming
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Planar arrangement of high-dimensional biomedical data sets by isomap coordinates
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
IEEE Transactions on Image Processing
Segmentation informed by manifold learning
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Hi-index | 0.00 |
Cardiopulmonary imaging is a key tool in modern diagnostic and interventional medicine. Automated analysis of MRI or ultrasound video is complicated by limitations on the image quality and complicated deformations of the chest cavity created by patient breathing and heart beating. When these are the primary causes of image variation, the video sequence samples a two-dimensional, nonlinear manifold of images. Nonparametric representations of this image manifold can be created using recently developed manifold learning algorithms. For automated analysis tasks that require segmenting many images, this manifold structure provides strong new cues on the shape and deformation of particular regions of interest. This paper develops the theory and algorithms to incorporate these manifold constraints within a level set based segmentation algorithm. We apply our algorithm, based on manifold constraints to the problem of segmenting the left ventricle, and show the improvement that arises from using the manifold constraints.