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Related Experiment Video

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Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition.

Santosh Tirunagari1,2, Norman Poh1, Kevin Wells2

  • 11Department of Computer Science, University of Surrey, Guildford, Surrey GU2 7XH UK.

Machine Vision and Applications
|February 28, 2020
PubMed
Summary
This summary is machine-generated.

Respiration causes motion artifacts in kidney MRI scans, hindering function assessment. A new automated method, windowed and reconstruction dynamic mode decomposition (WR-DMD), effectively corrects these movements without registration.

Keywords:
DCE-MRIDMDMovement correctionR-DMDW-DMDWR-DMD

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Radiology

Background:

  • Respiration induces complex organ motion during dynamic contrast-enhanced magnetic resonance renography (DCE-MRR).
  • This motion creates artifacts that impede accurate clinical assessment of kidney function.
  • Conventional registration techniques often fail due to rapid contrast agent changes in DCE-MR sequences.

Purpose of the Study:

  • To develop an automated, registration-free method for correcting respiratory motion artifacts in kidney DCE-MRR.
  • To overcome the limitations of semi-automated approaches, such as inter-observer variability and time-consuming manual inspection.

Main Methods:

  • Implementation of a novel automated movement correction approach using windowed and reconstruction variants of dynamic mode decomposition (WR-DMD).
  • Validation of the WR-DMD method on DCE-MRI data sets from ten healthy volunteers.
  • Evaluation using block-matching-block analysis of the image sequence generated by WR-DMD.

Main Results:

  • The WR-DMD method successfully eliminated a significant mean motion magnitude compared to original data.
  • Demonstrated the elimination of of mean motion magnitude.
  • The results confirm the viability of WR-DMD for automatic movement correction in kidney DCE-MRI.

Conclusions:

  • WR-DMD offers a robust, automated solution for motion artifact correction in kidney DCE-MRR.
  • This technique enhances the reliability and efficiency of kidney function assessment from DCE-MRI data.
  • The registration-free nature of WR-DMD addresses key limitations of existing methods.