Least-square conformal brain mapping with spring energy

Jingxin Nie, Tianming Liu, Gang Li, Geoffrey Young, Ashley Tarokh, Lei Guo, Stephen T.C. Wong

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

The human brain cortex is a highly convoluted sheet. Mapping of the cortical surface into a canonical coordinate space is an important tool for the study of the structure and function of the brain. Here, we present a technique based on least-square conformal mapping with spring energy for the mapping of the cortical surface. This method aims to reduce the metric and area distortion while maintaining the conformal map and computation efficiency. We demonstrate through numerical results that this method effectively controls metric and area distortion, and is computational efficient. This technique is particularly useful for fast visualization of the brain cortex.

Original languageEnglish (US)
Pages (from-to)656-664
Number of pages9
JournalComputerized Medical Imaging and Graphics
Volume31
Issue number8
DOIs
StatePublished - Dec 2007

Keywords

  • Angle distortion
  • Area distortion
  • Brain cortex
  • Brain mapping
  • Conformal mapping
  • Spring energy

ASJC Scopus subject areas

  • Computer Science Applications
  • Radiology Nuclear Medicine and imaging

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