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: Contribution to journalArticle

8 Citations (Scopus)

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
Pages (from-to)364-375
Number of pages12
JournalInformation processing in medical imaging : proceedings of the ... conference
Volume23
Publication statusPublished - 2013 Jan 1

Fingerprint

Entropy
Primates
Neuroimaging

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Group-wise cortical correspondence via sulcal curve-constrained entropy minimization. / Lyu, Ilwoo; Kim, Sun Hyung; Seong, Jun Kyung; Yoo, Sang Wook; Evans, Alan C.; Shi, Yundi; Sanchez, Mar; Niethammer, Marc; Styner, Martin A.

In: Information processing in medical imaging : proceedings of the ... conference, Vol. 23, 01.01.2013, p. 364-375.

Research output: Contribution to journalArticle

Lyu, I, Kim, SH, Seong, JK, Yoo, SW, Evans, AC, Shi, Y, Sanchez, M, Niethammer, M & Styner, MA 2013, 'Group-wise cortical correspondence via sulcal curve-constrained entropy minimization.', Information processing in medical imaging : proceedings of the ... conference, vol. 23, pp. 364-375.
Lyu, Ilwoo ; Kim, Sun Hyung ; Seong, Jun Kyung ; Yoo, Sang Wook ; Evans, Alan C. ; Shi, Yundi ; Sanchez, Mar ; Niethammer, Marc ; Styner, Martin A. / Group-wise cortical correspondence via sulcal curve-constrained entropy minimization. In: Information processing in medical imaging : proceedings of the ... conference. 2013 ; Vol. 23. pp. 364-375.
@article{ebcfee4f4b2948a1bed1d851ed5e063b,
title = "Group-wise cortical correspondence via sulcal curve-constrained entropy minimization.",
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.",
author = "Ilwoo Lyu and Kim, {Sun Hyung} and Seong, {Jun Kyung} and Yoo, {Sang Wook} and Evans, {Alan C.} and Yundi Shi and Mar Sanchez and Marc Niethammer and Styner, {Martin A.}",
year = "2013",
month = "1",
day = "1",
language = "English",
volume = "23",
pages = "364--375",
journal = "Information processing in medical imaging : proceedings of the ... conference",
issn = "1011-2499",
publisher = "Springer Verlag",

}

TY - JOUR

T1 - Group-wise cortical correspondence via sulcal curve-constrained entropy minimization.

AU - Lyu, Ilwoo

AU - Kim, Sun Hyung

AU - Seong, Jun Kyung

AU - Yoo, Sang Wook

AU - Evans, Alan C.

AU - Shi, Yundi

AU - Sanchez, Mar

AU - Niethammer, Marc

AU - Styner, Martin A.

PY - 2013/1/1

Y1 - 2013/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84901248841&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84901248841&partnerID=8YFLogxK

M3 - Article

VL - 23

SP - 364

EP - 375

JO - Information processing in medical imaging : proceedings of the ... conference

JF - Information processing in medical imaging : proceedings of the ... conference

SN - 1011-2499

ER -