A semi-automatic volumetrics system to parcellate ROI on neocortex

Ou Tan, Tetsuya Ichimiya, Fumihiko Yasuno, Tetsuya Suhara

Research output: Contribution to journalArticle

Abstract

A template-based and semi-automatic volumetrics system-Brain Vol is build to divide the any given patient brain to neo-cortical and sub-cortical regions. The standard region is given as standard ROI drawn on a standard brain volume. After normalization between the standard MR image and the patient MR image, the sub-cortical ROIs' boundary are refined based on gray matter. The neo-cortical ROIs are refined by sulcus information that is semi-automatically marked on the patient brain. Then the segmentation is applied to 4D PET image of same patient for calculation of TAC (Time Activity Curve) by co-registration between MR and PET.

Original languageEnglish (US)
Pages (from-to)1734-1741
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4684 III
DOIs
StatePublished - Jan 1 2002

Keywords

  • Automatic segmentation
  • MRI
  • PET
  • Registration
  • Volumetrics

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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