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; Tan Ou; Tomomichi Ando; Hinako Toyama

doi:10.1006/nimg.2002.1120

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, Tan Ou, Tomomichi Ando, Hinako Toyama

Research output: Contribution to journal › Article › peer-review

57 Scopus citations

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 language	English (US)
Pages (from-to)	577-586
Number of pages	10
Journal	NeuroImage
Volume	16
Issue number	3 I
DOIs	https://doi.org/10.1006/nimg.2002.1120
State	Published - 2002
Externally published	Yes

Keywords

MRI
PET
Template
Volume of interest

ASJC Scopus subject areas

Neurology
Cognitive Neuroscience

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10.1006/nimg.2002.1120

Cite this

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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.",

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AU - Yasuno, Fumihiko

AU - Hasnine, Akter Haque

AU - Suhara, Tetsuya

AU - Ichimiya, Tetsuya

AU - Sudo, Yasuhiko

AU - Inoue, Makoto

AU - Takano, Akihiro

AU - Ou, Tan

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

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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