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 Experiment Videos

Three-dimensional texture analysis of MRI brain datasets.

V A Kovalev1, F Kruggel, H J Gertz

  • 1Max-Planck Institute of Cognitive Neuroscience, Leipzig, Germany.

IEEE Transactions on Medical Imaging
|June 14, 2001
PubMed
Summary

This study introduces a novel 3-D texture analysis method for brain MRI scans using advanced co-occurrence matrices. This technique enhances the classification of brain pathologies by analyzing image features effectively.

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

[Prevention and correction of cognitive dysfunction after general anesthesia].

Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova·2017
Same author

Newborn insula gray matter volume is prospectively associated with early life adiposity gain.

International journal of obesity (2005)·2017
Same author

[Treatment of paracolostomic hernias using polypropylene mesh].

Khirurgiia·2015
Same author

[Features of behavioral reactions of chronically irradiated mice in the raised crosswise labyrinth with various genetically determined radiosensitivity and possibilities of their modification by the fungal biopolymer complex].

Radiatsionnaia biologiia, radioecologiia·2013
Same author

[Remote signaling of radiation damage to the extracellular space in mice with various levels of genetically determined radio sensitivity].

Radiatsionnaia biologiia, radioecologiia·2013
Same author

Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art.

Polish journal of radiology·2012

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Neuroscience

Background:

  • Magnetic Resonance Imaging (MRI) is crucial for brain analysis.
  • Accurate texture analysis is vital for detecting pathologies.
  • Existing methods may not fully capture complex 3-D brain textures.

Purpose of the Study:

  • To propose a novel 3-D texture analysis method for brain MRI datasets.
  • To evaluate the properties and scaling sensitivity of the proposed matrices.
  • To demonstrate the method's efficacy in classifying brain pathologies.

Main Methods:

  • Utilized extended, multisort co-occurrence matrices.
  • Integrated intensity, gradient, and anisotropy image features uniformly.
  • Evaluated matrix properties, sensitivity, and spatial scaling dependence.

Related Experiment Videos

  • Applied 3-D texture descriptors to classification tasks.

    • Main Results:

    • The proposed matrices effectively analyze 3-D brain textures.
    • Texture descriptors showed sensitivity to spatial scaling.
    • Demonstrated successful classification of pathologic findings in brain datasets.
    • The method provides a robust approach to texture analysis.

    Conclusions:

    • The developed 3-D texture analysis method offers a powerful tool for brain MRI.
    • This approach improves the identification and classification of brain pathologies.
    • The integration of multiple image features enhances analytical capabilities.