Motion correction of MRI from orthogonal k-space phase difference

Edward Brian Welch, Armando Manduca

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

Abstract

Correction of artifacts in MRI from in-plane 2-D rigid body translational motion is possible using only the raw data of two standard 2DFT images acquired of the same object with phase encode direction swapped. Previous techniques simply use multiple or orthogonal images to reduce artifacts through interference or geometric averaging. The orthogonal k-space phase difference (ORKPHAD) provides an overdetermined system of linear equations which can be solved directly to find the phase errors caused by the motion, and thus correct for arbitrary translations in both image.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages1318-1319
Number of pages2
Volume2208
ISBN (Print)3540426973, 9783540454687
DOIs
StatePublished - 2001
Event4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 - Utrecht, Netherlands
Duration: Oct 14 2001Oct 17 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2208
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001
CountryNetherlands
CityUtrecht
Period10/14/0110/17/01

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Welch, E. B., & Manduca, A. (2001). Motion correction of MRI from orthogonal k-space phase difference. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2208, pp. 1318-1319). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2208). Springer Verlag. https://doi.org/10.1007/3-540-45468-3_212