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Related Experiment Video

Updated: May 31, 2026

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

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Nonrigid image registration using an entropic similarity.

Mohammed Khader1, A Ben Hamza

  • 1Concordia Institute for Information Systems Engineering, Concordia University, Montréal, QC, Canada. ciise@linuxmail.org

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|June 22, 2011
PubMed
Summary

This study introduces a novel nonrigid image registration method using information-theoretic measures and B-splines. A multiresolution approach balances accuracy and computational efficiency for 3D medical imaging.

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Area of Science:

  • Medical imaging
  • Image processing
  • Computational anatomy

Background:

  • Accurate nonrigid image registration is crucial for comparing medical images.
  • Existing methods face challenges in balancing accuracy and computational cost.

Purpose of the Study:

  • To develop an accurate and computationally efficient nonrigid image registration technique.
  • To model complex deformations in 3D image pairs.

Main Methods:

  • Utilized a generalized information-theoretic similarity measure.
  • Employed the quasi-Newton method for optimization.
  • Modeled nonrigid deformation fields using cubic B-splines.
  • Implemented a three-level hierarchical multiresolution strategy.

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Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
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Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

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Last Updated: May 31, 2026

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02:09

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Published on: April 12, 2024

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
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Published on: October 27, 2023

Main Results:

  • Demonstrated high registration accuracy in experimental results.
  • Successfully applied the method to 3D magnetic resonance and 4D CT datasets.

Conclusions:

  • The proposed nonrigid registration method offers a viable solution for medical image analysis.
  • The multiresolution approach effectively manages computational complexity.