Name
Abstract | ||
|---|---|---|
This paper presents a novel method of optimizing point-based correspondence among populations of human cortical surfaces by combining structural cues with probabilistic connectivity maps. The proposed method establishes a tradeoff between an even sampling of the cortical surfaces (a low surface entropy) and the similarity of corresponding points across the population (a low ensemble entropy). The similarity metric, however, isn't constrained to be just spatial proximity, but uses local sulcal depth measurements as well as probabilistic connectivity maps, computed from DWI scans via a stochastic tractography algorithm, to enhance the correspondence definition. We propose a novel method for projecting this fiber connectivity information on the cortical surface, using a surface evolution technique. Our cortical correspondence method does not require a spherical parameterization. Experimental results are presented, showing improved correspondence quality demonstrated by a cortical thickness analysis, as compared to correspondence methods using spatial metrics as the sole correspondence criterion. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02498-6_54 | IPMI |
Keywords | Field | DocType |
novel method,cortical thickness analysis,cortical surface,cortical correspondence,correspondence method,cortical correspondence method,sole correspondence criterion,correspondence definition,point-based correspondence,improved correspondence quality,probabilistic connectivity map,probabilistic fiber connectivity,artificial intelligence,algorithms | Computer vision,Population,Parametrization,Pattern recognition,Computer science,Minimum description length,Sampling (statistics),Artificial intelligence,Probabilistic logic,Tractography | Conference |
Volume | ISSN | Citations |
21 | 1011-2499 | 8 |
PageRank | References | Authors |
0.65 | 13 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ipek Oguz | 1 | 108 | 12.87 |
| Marc Niethammer | 2 | 731 | 68.16 |
| Josh Cates | 3 | 112 | 9.07 |
| Ross Whitaker | 4 | 68 | 6.22 |
| Thomas Fletcher | 5 | 8 | 0.65 |
| Clement Vachet | 6 | 41 | 5.34 |
| Martin Styner | 7 | 1349 | 116.30 |