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Related Experiment Video

Updated: Jul 17, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

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

Published on: October 27, 2023

Segmentation guided robust multimodal image registration using local correlation.

Yang Wang1, Jundong Liu

  • 1School of Electrical Engineering and Computer Science, Ohio University, Athens, OH 45701 USA.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
Summary

This study introduces a new variational framework for non-rigid image registration that uses prior segmentation contours to improve alignment accuracy and stability. This method enhances registration by incorporating segmentation guidance for more robust and noise-tolerant results.

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Area of Science:

  • Medical image analysis
  • Computer vision
  • Computational anatomy

Background:

  • Non-rigid registration aligns images with complex deformations.
  • Prior segmentation information can improve registration accuracy.
  • Existing methods may lack robustness to noise and intensity variations.

Purpose of the Study:

  • To develop a unified variational framework for non-rigid registration.
  • To integrate prior segmentation contours as guidance forces.
  • To enhance registration stability and noise tolerance.

Main Methods:

  • A unified variational framework is proposed.
  • Prior segmentation contours generate guiding forces.
  • Local correlation (LC) is used as the similarity measure.

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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

Related Experiment Videos

Last Updated: Jul 17, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

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

Published on: October 27, 2023

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

  • The framework handles intensity variations.

    • Main Results:

    • The framework successfully integrates prior segmentation information.
    • Enhanced guidance improves alignment meaningfulness and stability.
    • The method demonstrates noise tolerance.
    • Validated on 2D/3D synthetic and real data.

    Conclusions:

    • The proposed framework offers a robust approach to non-rigid registration.
    • Integrating prior segmentation significantly improves registration outcomes.
    • The method is effective for diverse imaging data.