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 journalArticle

55 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 languageEnglish (US)
Pages (from-to)577-586
Number of pages10
JournalNeuroImage
Volume16
Issue number3 I
DOIs
StatePublished - Jan 1 2002

Keywords

  • MRI
  • PET
  • Template
  • Volume of interest

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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    Yasuno, F., Hasnine, A. H., Suhara, T., Ichimiya, T., Sudo, Y., Inoue, M., Takano, A., Ou, T., Ando, T., & 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