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The correction of EPI-induced geometric distortions and their evaluation

  • Tao Guozhi
  • , He Renjie
  • , Aziz H. Poonawalla
  • , Ponnada A. Narayana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An algorithm for correcting the geometric distortions in the echo planar images and diffusion weighted images is described. In this method the geometric distortion in the echo planar imaging (EPI) data is corrected by non-rigid registration to conventional fast-spin echo (FSE) images. The registration is based on a variant of the Demon's algorithm [10] with consistency enforced by an improved bijectivity scheme. Quantitative metrics based on the forward similarity and inverse consistency measures, calculated from the closest point distances of the image contours, are used to evaluate the performance of nonlinear registration algorithms. The experimental results demonstrated that the proposed nonlinear registration algorithm is able to correct large distortion in the EPI and diffusion weighted images (DWI) while preserving the topology of brain structure.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PagesVI225-VI228
DOIs
StatePublished - 2006
Externally publishedYes
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume6
ISSN (Print)1522-4880

Conference

Conference14th IEEE International Conference on Image Processing, ICIP 2007
Country/TerritoryUnited States
CitySan Antonio, TX
Period9/16/079/19/07

Keywords

  • Image registration
  • Magnetic resonance imaging

ASJC Scopus subject areas

  • General Engineering

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