Name
Abstract | ||
|---|---|---|
Abstract Purpose Statistical shape analysis of anatomical structures plays an important role in many medical image analysis applications such as understanding the structural changes in anatomy in various stages of growth or disease. Establishing accurate correspondence across object populations is essential for such statistical shape analysis studies. Methods In this paper, we present an entropy-based correspondence framework for computing point-based correspondence among populations of surfaces in a groupwise manner. This robust framework is parameterization-free and computationally efficient. We review the core principles of this method as well as various extensions to deal effectively with surfaces of complex geometry and application-driven correspondence metrics. Results We apply our method to synthetic and biological datasets to illustrate the concepts proposed and compare the performance of our framework to existing techniques. Conclusions Through the numerous extensions and variations presented here, we create a very flexible framework that can effectively handle objects of various topologies, multi-object complexes, open surfaces, and objects of complex geometry such as high-curvature regions or extremely thin features. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s11548-015-1319-6 | International Journal of Computer Assisted Radiology and Surgery |
Keywords | Field | DocType |
Correspondence,Shape analysis,Entropy | Computer vision,Pattern recognition,Statistical shape analysis,Artificial intelligence,Anatomical structures,Mathematics,Shape analysis (digital geometry) | Journal |
Volume | Issue | ISSN |
11 | 7 | 1861-6429 |
Citations | PageRank | References |
3 | 0.40 | 27 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ipek Oguz | 1 | 108 | 12.87 |
| Josh Cates | 2 | 3 | 0.40 |
| Manasi Datar | 3 | 63 | 5.71 |
| Beatriz Paniagua | 4 | 34 | 14.25 |
| P. Thomas Fletcher | 5 | 320 | 23.21 |
| Vachet Clement | 6 | 5 | 1.87 |
| Martin Styner | 7 | 1349 | 116.30 |
| Ross Whitaker | 8 | 2973 | 234.95 |