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Updated: Sep 7, 2025

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
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Dynamic imaging using motion-compensated smoothness regularization on manifolds (MoCo-SToRM).

Qing Zou1, Luis A Torres2, Sean B Fain3

  • 1Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, United States of America.

Physics in Medicine and Biology
|June 17, 2022
PubMed
Summary
This summary is machine-generated.

This study presents a new unsupervised method for reconstructing high-resolution pulmonary MRI images during free breathing. The technique effectively compensates for respiratory and bulk motion, improving image quality, especially during patient movement.

Keywords:
convolutional neural networkmotion-compensated reconstructionpulmonary MRI

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Area of Science:

  • Medical Imaging
  • Magnetic Resonance Imaging (MRI)
  • Image Reconstruction

Background:

  • Free-breathing pulmonary MRI is challenging due to respiratory and bulk motion.
  • Existing motion-compensated reconstruction methods struggle with significant patient movement.

Purpose of the Study:

  • To introduce an unsupervised motion-compensated reconstruction scheme for high-resolution free-breathing pulmonary MRI.
  • To develop a method robust to bulk motion during scans.

Main Methods:

  • Modeled image frames as deformed versions of a template volume using a CNN-based generator.
  • Learned deformation maps, generator parameters, and latent vectors directly from k-t space data unsupervisedly.
  • Used time series of latent vectors to capture respiratory and bulk motion dynamics.

Main Results:

  • Achieved improved image reconstructions compared to state-of-the-art methods.
  • Demonstrated superior performance in the presence of bulk motion.
  • Showcased robustness to bulk motion events during scanning.

Conclusions:

  • The proposed unsupervised scheme jointly estimates motion dynamics, deformation maps, and motion-compensated images.
  • This approach offers enhanced robustness against bulk motion in pulmonary MRI.
  • Enables high-quality free-breathing pulmonary MRI even with significant patient movement.