Group-wise cortical correspondence via sulcal curve-constrained entropy minimization

Ilwoo Lyu, Sun Hyung Kim, Jun Kyung Seong, Sang Wook Yoo, Alan C. Evans, Yundi Shi, Mar Sanchez, Marc Niethammer, Martin A. Styner

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

Abstract

We present a novel cortical correspondence method employing group-wise registration in a spherical parametrization space for the use in local cortical thickness analysis in human and non-human primate neuroimaging studies. The proposed method is unbiased registration that estimates a continuous smooth deformation field into an unbiased average space via sulcal curve-constrained entropy minimization using spherical harmonic decomposition of the spherical deformation field. We initialize a correspondence by our pair-wise method that establishes a surface correspondence with a prior template. Since this pair-wise correspondence is biased to the choice of a template, we further improve the correspondence by employing unbiased ensemble entropy minimization across all surfaces, which yields a deformation field onto the iteratively updated unbiased average. The specific entropy metric incorporates two terms: the first focused on optimizing the correspondence of automatically extracted sulcal landmarks and the second on that of sulcal depth maps. We also propose an encoding scheme for spherical deformation via spherical harmonics as well as a novel method to choose an optimal spherical polar coordinate system for the most efficient deformation field estimation. The experimental results show evidence that the proposed method improves the correspondence quality in non-human primate and human subjects as compared to the pair-wise method.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages364-375
Number of pages12
Volume7917 LNCS
DOIs
Publication statusPublished - 2013 Jul 12
Event23rd International Conference on Information Processing in Medical Imaging, IPMI 2013 - Asilomar, CA, United States
Duration: 2013 Jun 282013 Jul 3

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7917 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other23rd International Conference on Information Processing in Medical Imaging, IPMI 2013
CountryUnited States
CityAsilomar, CA
Period13/6/2813/7/3

Keywords

  • Cortical thickness
  • Entropy minimization
  • Group-wise correspondence
  • Spherical harmonics
  • Sulcal curves

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Fingerprint Dive into the research topics of 'Group-wise cortical correspondence via sulcal curve-constrained entropy minimization'. Together they form a unique fingerprint.

  • Cite this

    Lyu, I., Kim, S. H., Seong, J. K., Yoo, S. W., Evans, A. C., Shi, Y., Sanchez, M., Niethammer, M., & Styner, M. A. (2013). Group-wise cortical correspondence via sulcal curve-constrained entropy minimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7917 LNCS, pp. 364-375). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7917 LNCS). https://doi.org/10.1007/978-3-642-38868-2_31