Correction of translation induced artifacts in wrist MRI scans using orthogonal acquisitions

Edward Brian Welch, Armando Manduca, Clifford R. Jack

Research output: Contribution to journalConference articlepeer-review


Correction of motion artifacts in MRI due to interview in-plane 2-D rigid body translations 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 by ghost interference or geometric averaging. The orthogonal k-space phase difference (ORKPHAD) provides an overdetermined system of linear equations that can be solved directly to compensate for the phase errors caused by the translation. This technique was used to correct images of a volunteer's moving wrist. For all slices of the motion corrupted data volumes, artifacts were dramatically reduced. Though the algorithm only accounts for interview translational motion, it is robust enough to correct real in vivo images that may also be corrupted by small amounts of rotational or out-of-plane motion. Experiments underway show the algorithm can tolerate bulk rotation of several degrees between orthogonal image pairs and that corrections using fractional NEX scans are possible. The current results and such ongoing advancements should make this correction technique practical for certain clinical scenarios vulnerable to in-plane translation.

Original languageEnglish (US)
Pages (from-to)334-342
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4684 I
StatePublished - 2002
EventMedical Imaging 2002: Image Processing - San Diego, CA, United States
Duration: Feb 24 2002Feb 28 2002


  • MRI
  • Motion artifacts
  • Motion correction
  • Orthogonal acquisitions

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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