Cortical surface alignment using geometry driven multispectral optical flow

Duygu Tosun, Jerry L. Prince

Research output: Contribution to journalConference article

Abstract

Spatial normalization is frequently used to map data to a standard coordinate system by removing inter-subject morphological differences, thereby allowing for group analysis to be carried out. In this paper, we analyze the geometry of the cortical surface using two shape measures that are the key to distinguish sulcal and gyral regions from each other. Then a multispectral optical flow (OF) warping procedure that aims to align the shape measure maps of an atlas and a subject brain's normalized maps is described. The variational problem to estimate the OF field is solved using a Euclidean framework. After warping one brain given the OF result, we obtain a better structural and functional alignment across multiple brains.

Original languageEnglish (US)
Pages (from-to)480-492
Number of pages13
JournalLecture Notes in Computer Science
Volume3565
StatePublished - Oct 17 2005
Event19th International Conference on Information Processing in Medical Imaging, IPMI 2005 - Glenwood Springs, CO, United States
Duration: Jul 10 2005Jul 15 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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