Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Extended Blind End-member and Abundance Estimation with Spatial Total Variation for Hyperspectral Imaging.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2021
Same author

Multispectral Imaging for Hemoglobin Estimation by PCA.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2021
Same author

Perspectives of the Biomedical Engineering Program at UASLP after ten years - analysis and criticism.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2021
Same author

Blind deconvolution estimation by multi-exponential models and alternated least squares approximations: Free-form and sparse approach.

PloS one·2021
Same author

Intravascular optical coherence tomography method for automated detection of macrophage infiltration within atherosclerotic coronary plaques.

Atherosclerosis·2019
Same author

AI-Assisted <i>In Situ</i> Detection of Human Glioma Infiltration Using a Novel Computational Method for Optical Coherence Tomography.

Clinical cancer research : an official journal of the American Association for Cancer Research·2019

Related Experiment Video

Updated: Mar 27, 2026

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

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

Published on: April 12, 2024

1.2K

An innovative multimodal/multispectral image registration method for medical images based on the

Edgar Arce-Santana, Daniel U Campos-Delgado, Aldo Mejia-Rodriguez

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 7, 2016
    PubMed
    Summary

    This study introduces a new Expectation-Maximization (EM) method for aligning multimodal medical images. The algorithm efficiently registers images from different sources by analyzing intensity relationships.

    More Related Videos

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    1.8K
    Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
    05:05

    Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

    Published on: November 23, 2019

    8.6K

    Related Experiment Videos

    Last Updated: Mar 27, 2026

    Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
    02:09

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

    Published on: April 12, 2024

    1.2K
    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    1.8K
    Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
    05:05

    Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

    Published on: November 23, 2019

    8.6K

    Area of Science:

    • Medical Imaging
    • Computer Vision
    • Image Processing

    Background:

    • Multimodal and multispectral medical imaging are crucial for diagnosis.
    • Accurate image registration is essential for integrating data from different modalities.
    • Existing methods may face challenges in handling intensity variations across modalities.

    Purpose of the Study:

    • To develop a robust methodology for multimodal/multispectral medical image registration.
    • To utilize the Expectation-Maximization (EM) algorithm for estimating geometric transformations.
    • To enable accurate alignment of images from different medical imaging modalities.

    Main Methods:

    • Formulation using the Expectation-Maximization (EM) methodology.
    • Estimation of geometric transformation parameters for image alignment.
    • Iterative two-step procedure to refine joint conditional multispectral intensity distribution and geometric transformation.

    Main Results:

    • The proposed EM-based methodology effectively aligns multimodal/multispectral medical images.
    • Demonstrated efficiency in registering diverse types of medical image data.
    • Successful comparison of multispectral intensity values across different imaging modalities.

    Conclusions:

    • The developed methodology provides an efficient and accurate solution for multimodal/multispectral medical image registration.
    • The EM-based approach offers a robust framework for handling intensity variations.
    • This technique has significant potential for improving medical image analysis and integration.