Title
Computational Anatomy and Implicit Object Representation: A Level Set Approach
Abstract
In this paper, we look at the fundamental problem of object matching in computational anatomy. We present a new framework for warping pairs of overlapping and non-overlapping shapes, open curves, and landmarks based on the level set approach. When implemented in 3-D, the same framework could be used to warp 3-D objects with minimal modification. Our approach is to use the level set functions to represent the objects to be matched. Using this representation, the problem becomes an energy minimization problem. Cost functions for warping overlapping, non-overlapping, open curves, and landmarks are proposed. Euler-Lagrange equations are applied and gradient descent is used to solve the corresponding partial differential equations. Moreover, a general framework for linking the level set approach and the infinite dimensional group actions is discussed.
Year
DOI
Venue
2003
10.1007/978-3-540-39701-4_5
BIOMEDICAL IMAGE REGISTRATION
Keywords
Field
DocType
level set,group action,partial differential equation,energy minimization,gradient descent
Computational anatomy,Mathematical optimization,Gradient descent,Image warping,Level set method,Computer science,Level set,Partial differential equation,Energy minimization,Group action
Conference
Volume
ISSN
Citations 
2717
0302-9743
3
PageRank 
References 
Authors
0.45
6
5
Name
Order
Citations
PageRank
Wei-hsun Liao130.79
Luminita A. Vese25389302.64
Sung-Cheng Huang314822.43
Marvin Bergsneider46710.75
Stanley Osher57973514.62