Full 3D rigid body automatic motion correction of MRI images

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

2 Scopus citations

Abstract

We demonstrate the first successful automatic motion correction of 3D MRI data with rigid body motion in all six degrees of freedom. An existing 2D retrospective technique is extended to 3D with a shear-based factorization of 3D rotations and simultaneous optimization of motion corrections in all six degrees of freedom. Tests on motion corrupted 3D brain images from elderly research subjects show dramatic improvements in image quality.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings
EditorsWiro J. Niessen, Max A. Viergever
PublisherSpringer Verlag
Pages1326-1327
Number of pages2
ISBN (Print)3540426973, 9783540454687
DOIs
StatePublished - Jan 1 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)0302-9743
ISSN (Electronic)1611-3349

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

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Su, Y., Manduca, A., Jack, C. R., Brian Welch, E., & Ehman, R. L. (2001). Full 3D rigid body automatic motion correction of MRI images. In W. J. Niessen, & M. A. Viergever (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings (pp. 1326-1327). (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_215