Difference between revisions of "Projects:PopulationBasedCorrespondence"

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= Publications =
 
= Publications =
  
* [http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=1443| Styner M, Oguz I, Heimann T, Gerig G. Minimum description length with local geometry. Proceedings of the 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2008; 1283-1286.]
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* [http://www.na-mic.org/pages/Special:PubDB_View?dspaceid=1443 | Styner M, Oguz I, Heimann T, Gerig G. Minimum description length with local geometry. Proceedings of the 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2008; 1283-1286.]
  
 
= Links =
 
= Links =

Revision as of 01:52, 28 August 2008

Home < Projects:PopulationBasedCorrespondence

Back to NA-MIC Collaborations, UNC Algorithms

Correspondence of complex structures using (Curvature + Location) MDL

UNCShape ShapeCorrespondence.png


The SPHARM-PDM based correspondence is a global correspondence method that does performs well for many structures. But in our studies it has shown to be inferior to population based correspondence methods, when assessing statistical modeling properties derived from the established correspondence, such as specificity and generalization ability of a statistical model. Current methodology in population based correspondence is based mainly on minimizing distribution properties of surface point locations and are thus not invariant to alignment.

Description

We have extended the population based correspondence framework to include curvature based measurements, such as the Koenderink Shape Index S and Curvedness C in combination with the standard location information. The implementation is based on ITK and uses the SPHARM-PDM correspondence as an initialization. We have favorably compared our combined "Curvature + Location" MDL to the standard MDL, as well as to the SPHARM approach. Especially with more complex structures, such as the femural bone and the striatal structure (composed of caudate, nucleus accumbens and putamen), our method outperforms the other methods. It also illustrates the potential of this approach of objects as complex as the human cortex, the object of study in the NAMIC year 07/08.

Key Investigators

  • UNC Algorithms: Ipek Oguz, Martin Styner

Publications

Links

Project Week Results: Jun 2006