Template-based method for multiple volumes of interest of human brain PET images

Fumihiko Yasuno, Akter Haque Hasnine, Tetsuya Suhara, Tetsuya Ichimiya, Yasuhiko Sudo, Makoto Inoue, Akihiro Takano, Ou Tan, Tomomichi Ando, Hinako Toyama

Research output: Contribution to journalArticle

54 Citations (Scopus)

Abstract

Specific region-based analysis for the quantification of brain imaging is very time-consuming work and subject to errors in both accuracy and reproducibility. In this study, we assessed a two-step template-based method for defining volumes of interest (VOIs). The first step was the spatial transformation of the VOI template from a model MRI to an individual MRI with SPM99. The second step was to refine the transformed VOI to the individual gray matter of MRI using the intensity characteristics of this image with our developed software running on a PC type of computer. The reliability of the values of the final refined VOIs was investigated by comparing them to those of manually drawn VOIs. The template-based method was found to be both accurate and robust and can be used as a reliable alternative for the manual determination of VOIs.

Original languageEnglish (US)
Pages (from-to)577-586
Number of pages10
JournalNeuroImage
Volume16
Issue number3 I
DOIs
StatePublished - 2002
Externally publishedYes

Fingerprint

Brain
Neuroimaging
Software
Gray Matter

Keywords

  • MRI
  • PET
  • Template
  • Volume of interest

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

Cite this

Yasuno, F., Hasnine, A. H., Suhara, T., Ichimiya, T., Sudo, Y., Inoue, M., ... Toyama, H. (2002). Template-based method for multiple volumes of interest of human brain PET images. NeuroImage, 16(3 I), 577-586. https://doi.org/10.1006/nimg.2002.1120

Template-based method for multiple volumes of interest of human brain PET images. / Yasuno, Fumihiko; Hasnine, Akter Haque; Suhara, Tetsuya; Ichimiya, Tetsuya; Sudo, Yasuhiko; Inoue, Makoto; Takano, Akihiro; Tan, Ou; Ando, Tomomichi; Toyama, Hinako.

In: NeuroImage, Vol. 16, No. 3 I, 2002, p. 577-586.

Research output: Contribution to journalArticle

Yasuno, F, Hasnine, AH, Suhara, T, Ichimiya, T, Sudo, Y, Inoue, M, Takano, A, Tan, O, Ando, T & Toyama, H 2002, 'Template-based method for multiple volumes of interest of human brain PET images', NeuroImage, vol. 16, no. 3 I, pp. 577-586. https://doi.org/10.1006/nimg.2002.1120
Yasuno F, Hasnine AH, Suhara T, Ichimiya T, Sudo Y, Inoue M et al. Template-based method for multiple volumes of interest of human brain PET images. NeuroImage. 2002;16(3 I):577-586. https://doi.org/10.1006/nimg.2002.1120
Yasuno, Fumihiko ; Hasnine, Akter Haque ; Suhara, Tetsuya ; Ichimiya, Tetsuya ; Sudo, Yasuhiko ; Inoue, Makoto ; Takano, Akihiro ; Tan, Ou ; Ando, Tomomichi ; Toyama, Hinako. / Template-based method for multiple volumes of interest of human brain PET images. In: NeuroImage. 2002 ; Vol. 16, No. 3 I. pp. 577-586.
@article{38b4b0168bfb4070ba16579033b13f69,
title = "Template-based method for multiple volumes of interest of human brain PET images",
abstract = "Specific region-based analysis for the quantification of brain imaging is very time-consuming work and subject to errors in both accuracy and reproducibility. In this study, we assessed a two-step template-based method for defining volumes of interest (VOIs). The first step was the spatial transformation of the VOI template from a model MRI to an individual MRI with SPM99. The second step was to refine the transformed VOI to the individual gray matter of MRI using the intensity characteristics of this image with our developed software running on a PC type of computer. The reliability of the values of the final refined VOIs was investigated by comparing them to those of manually drawn VOIs. The template-based method was found to be both accurate and robust and can be used as a reliable alternative for the manual determination of VOIs.",
keywords = "MRI, PET, Template, Volume of interest",
author = "Fumihiko Yasuno and Hasnine, {Akter Haque} and Tetsuya Suhara and Tetsuya Ichimiya and Yasuhiko Sudo and Makoto Inoue and Akihiro Takano and Ou Tan and Tomomichi Ando and Hinako Toyama",
year = "2002",
doi = "10.1006/nimg.2002.1120",
language = "English (US)",
volume = "16",
pages = "577--586",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",
number = "3 I",

}

TY - JOUR

T1 - Template-based method for multiple volumes of interest of human brain PET images

AU - Yasuno, Fumihiko

AU - Hasnine, Akter Haque

AU - Suhara, Tetsuya

AU - Ichimiya, Tetsuya

AU - Sudo, Yasuhiko

AU - Inoue, Makoto

AU - Takano, Akihiro

AU - Tan, Ou

AU - Ando, Tomomichi

AU - Toyama, Hinako

PY - 2002

Y1 - 2002

N2 - Specific region-based analysis for the quantification of brain imaging is very time-consuming work and subject to errors in both accuracy and reproducibility. In this study, we assessed a two-step template-based method for defining volumes of interest (VOIs). The first step was the spatial transformation of the VOI template from a model MRI to an individual MRI with SPM99. The second step was to refine the transformed VOI to the individual gray matter of MRI using the intensity characteristics of this image with our developed software running on a PC type of computer. The reliability of the values of the final refined VOIs was investigated by comparing them to those of manually drawn VOIs. The template-based method was found to be both accurate and robust and can be used as a reliable alternative for the manual determination of VOIs.

AB - Specific region-based analysis for the quantification of brain imaging is very time-consuming work and subject to errors in both accuracy and reproducibility. In this study, we assessed a two-step template-based method for defining volumes of interest (VOIs). The first step was the spatial transformation of the VOI template from a model MRI to an individual MRI with SPM99. The second step was to refine the transformed VOI to the individual gray matter of MRI using the intensity characteristics of this image with our developed software running on a PC type of computer. The reliability of the values of the final refined VOIs was investigated by comparing them to those of manually drawn VOIs. The template-based method was found to be both accurate and robust and can be used as a reliable alternative for the manual determination of VOIs.

KW - MRI

KW - PET

KW - Template

KW - Volume of interest

UR - http://www.scopus.com/inward/record.url?scp=0036335186&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036335186&partnerID=8YFLogxK

U2 - 10.1006/nimg.2002.1120

DO - 10.1006/nimg.2002.1120

M3 - Article

C2 - 12169244

AN - SCOPUS:0036335186

VL - 16

SP - 577

EP - 586

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

IS - 3 I

ER -