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GLOW: Gastric LOW-Rank Tensor-Based Motion Correction for Abdominal 4D MRI.

R Sclocco1,2,3,4, J Coll-Font3,5, B Kuo2

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A new algorithm called GLOW (gastric low-rank tensor-based) improves motion correction for dynamic gastric MRI scans. This enhances the accuracy of assessing gastric function and peristalsis in humans.

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free‐breathinggastrointestinallow‐rank tensormotion correctionperistalsis

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Area of Science:

  • Medical Imaging
  • Gastroenterology
  • Biomedical Engineering

Background:

  • Dynamic volumetric imaging in Magnetic Resonance Imaging (MRI) is increasingly used for studying human gastric function.
  • Existing methods require specialized approaches for motion correction, particularly for respiratory motion in free-breathing, four-dimensional (4D) abdominal MRI.
  • Accurate assessment of gastric motility and function is crucial for diagnosing and managing gastrointestinal disorders.

Purpose of the Study:

  • To present a novel method for retrospective respiratory motion correction in 4D abdominal MRI.
  • To introduce the gastric low-rank tensor-based (GLOW) algorithm for separating respiratory and gastric motion.
  • To demonstrate the feasibility and effectiveness of the GLOW algorithm in human gastric MRI datasets.

Main Methods:

  • Development of the gastric low-rank tensor-based (GLOW) algorithm utilizing a low-rank tensor (LRT) model.
  • Application of the GLOW algorithm to human 4D gastric MRI data acquired during fasted and fed states.
  • Separation of temporal components corresponding to breathing motion from those related to gut motion, preserving uncorrelated and spatially localized gut motion signals.

Main Results:

  • The GLOW algorithm successfully separated respiratory motion from gastric and gut motion in 4D abdominal MRI.
  • The algorithm demonstrated proof-of-concept on human gastric MRI data, including scans with a food-based contrast meal.
  • Preservation of uncorrelated and spatially localized gut motion components allowed for improved analysis.

Conclusions:

  • The GLOW algorithm provides a robust and accurate method for respiratory motion correction in 4D gastric MRI.
  • This technique enables a more precise assessment of gastric peristalsis and function.
  • The GLOW algorithm advances the application of noninvasive, naturalistic MRI techniques for evaluating gastric physiology.