Alignment and morphing for the boundary curves of anatomical organs

Authors:
Keiko Morita;Atsushi Imiya;Tomoya Sakai;Hidetaka Hontan;Yoshitaka Masutani
Affiliations:
School of Advanced Integration Sciences, Chiba University, Japan, Inage-ku, Chiba, Japan;Institute of Media and Information Technology, Chiba University, Japan, Inage-ku, Chiba, Japan;Department of Computer and Information Science, Nagasaki University, Nagasaki, Japan;Department of Computer Science, Nagoya Institute of Technology, Nagoya, Aichi, Japan;Department of Radiology, The University of Tokyo Hospital, Japan,Division of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
Venue:
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Year:
2012

Citing 12
Cited 0

An Efficiently Computable Metric for Comparing Polygonal Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape alignment—optimal initial point and pose estimation

Pattern Recognition Letters
On Aligning Curves

IEEE Transactions on Pattern Analysis and Machine Intelligence
An Image Similarity Measure Based on Graph Matching

SPIRE '00 Proceedings of the Seventh International Symposium on String Processing Information Retrieval (SPIRE'00)
Statistical Shape Analysis: Clustering, Learning, and Testing

IEEE Transactions on Pattern Analysis and Machine Intelligence
2D-Shape Analysis Using Conformal Mapping

International Journal of Computer Vision
Information Retrieval for Music and Motion

Information Retrieval for Music and Motion
Approximate graph edit distance computation by means of bipartite graph matching

Image and Vision Computing
A Nonlinear Elastic Shape Averaging Approach

SIAM Journal on Imaging Sciences
Diffeomorphic Active Contours

SIAM Journal on Imaging Sciences
Multiple polyline to polygon matching

ISAAC'05 Proceedings of the 16th international conference on Algorithms and Computation
Distance sets for shape filters and shape recognition

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we develop a tracking method for the deformable boundary curves of biological organs using variational registration method. We first define the relative distortion of a pair of curves using curvatures of curves. This minimum distortion aligns corresponding points of a pair of curves. Then, we derive the mean of curves as the curve which minimises the total distortion of a collection of shapes. We compute the intermediate boundary curve of a pair of curves as the mean of these curves.