Autofocusing of clinical shoulder MR images for correction of motion artifacts

Armando Manduca, Kiaran Patrick McGee, E. Brian Welch, Joel P. Felmlee, Richard Lorne Ehman

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

1 Citation (Scopus)

Abstract

A post-processing’’autofocusing” algorithm for the reduction of motion artifacts in MR images has been developed and tested on a large clinical data set of high resolution shoulder images. The algorithm uses only the raw (complex) data from the MR scanner, and requires no knowledge of the patient motion during the scan, deducing that from the raw data itself. It operates by searching over the space of possible patient motions and optimizing the image quality. Evaluation of this technique on the clinical data set (for which navigator echo based measured motions and corrected images were available) show that the algorithm can correct for the effects of global translation during the scan almost as well as the navigator echo approach and is more robust.

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
Pages598-605
Number of pages8
Volume1496
ISBN (Print)3540651365, 9783540651369
StatePublished - 1998
Event1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998 - Cambridge, United States
Duration: Oct 11 1998Oct 13 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1496
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998
CountryUnited States
CityCambridge
Period10/11/9810/13/98

Fingerprint

Auto-focusing
Motion
Image quality
Scanner
Image Quality
High Resolution
Evaluation

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Manduca, A., McGee, K. P., Welch, E. B., Felmlee, J. P., & Ehman, R. L. (1998). Autofocusing of clinical shoulder MR images for correction of motion artifacts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1496, pp. 598-605). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1496). Springer Verlag.

Autofocusing of clinical shoulder MR images for correction of motion artifacts. / Manduca, Armando; McGee, Kiaran Patrick; Welch, E. Brian; Felmlee, Joel P.; Ehman, Richard Lorne.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1496 Springer Verlag, 1998. p. 598-605 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1496).

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

Manduca, A, McGee, KP, Welch, EB, Felmlee, JP & Ehman, RL 1998, Autofocusing of clinical shoulder MR images for correction of motion artifacts. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1496, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1496, Springer Verlag, pp. 598-605, 1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998, Cambridge, United States, 10/11/98.
Manduca A, McGee KP, Welch EB, Felmlee JP, Ehman RL. Autofocusing of clinical shoulder MR images for correction of motion artifacts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1496. Springer Verlag. 1998. p. 598-605. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Manduca, Armando ; McGee, Kiaran Patrick ; Welch, E. Brian ; Felmlee, Joel P. ; Ehman, Richard Lorne. / Autofocusing of clinical shoulder MR images for correction of motion artifacts. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1496 Springer Verlag, 1998. pp. 598-605 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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