Shape matching with medial curves and 1-D group-wise registration

Boris A. Gutman, Yalin Wang, Priya Rajagopalan, Arthur W. Toga, Paul M. Thompson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

37 Scopus citations

Abstract

We present a method for shape matching that approximates group-wise shape registration by reducing the problem to a 1-D registration. First, a novel medial curve method is proposed for computing a 1-D description of the shape. Second, a group-wise registration of the geometric descriptor is performed by directly minimizing the group variance. The resulting registration is used to adjust a global shape feature used to compute the final correspondence. Thus, the problems of description, registration, and statistical analysis are solved in one framework, while reducing the computational problem of group-wise registration of shapes substantially. We validate our method on 620 lateral ventricles extracted from the ADNI MRI dataset and 19 lateral ventricles from patients with HIV/AIDS and matched controls, also scanned with MRI. We show that our group-wise approach leads to improved statistical results, and also compare it to the SPHARM method.

Original languageEnglish (US)
Title of host publication2012 9th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2012 - Proceedings
Pages716-719
Number of pages4
DOIs
StatePublished - 2012
Event2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
Duration: May 2 2012May 5 2012

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
Country/TerritorySpain
CityBarcelona
Period5/2/125/5/12

Keywords

  • ADNI
  • group-wise registration
  • medial curves
  • shape registration
  • skeletonization

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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