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

Bone labelling on micro-magnetic resonance images.

T Antoniadis1, J P Scarpelli, J P Ruaud

  • 1Unité de Recherche en Résonance Magnétique Médicale, U2R2M, CNRS URA 2212, Université Paris-Sud, Orsay, France.

Medical Image Analysis
|March 11, 2000
PubMed
Summary

Accurate segmentation of trabecular bone structure is crucial for understanding skeletal diseases like osteoporosis. Our new probabilistic relaxation labeling technique enhances trabecular bone segmentation, improving connectivity and porosity measurements.

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

Quantitative ultrashort TE imaging of the short-T<sub>2</sub> components in skeletal muscle using an extended echo-subtraction method.

Magnetic resonance in medicine·2016
Same author

A genomewide catalogue of single nucleotide polymorphisms in white-beaked and Atlantic white-sided dolphins.

Molecular ecology resources·2015
Same author

New production of canned seasoned beef.

Revue de pathologie comparee·2010
Same author

Splendor and misery of indirect measures of migration and gene flow.

Heredity·2010
Same author

The first proton NMR imaging of ice: stray-field imaging and relaxation studies.

Solid state nuclear magnetic resonance·2007
Same author

Restricted diffusion in a model acinar labyrinth by NMR: theoretical and numerical results.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2006

Area of Science:

  • Orthopedics
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Trabecular bone analysis is vital for skeletal disease research, particularly osteoporosis.
  • Accurate segmentation of the trabecular network is a prerequisite for quantitative analysis.
  • Existing segmentation methods face challenges in preserving trabecular network connectivity.

Purpose of the Study:

  • To develop and evaluate a novel probabilistic relaxation labeling technique for trabecular bone segmentation.
  • To improve the accuracy and connectivity preservation in trabecular bone image segmentation.
  • To validate the technique's performance against conventional methods and experimental data.

Main Methods:

  • A probabilistic relaxation labeling technique was developed.

Related Experiment Videos

  • The technique utilizes local image features for improved segmentation.
  • Performance was tested on synthetic and acquired trabecular bone images.

    • Main Results:

    • The developed technique demonstrated more accurate segmentation than thresholding on synthetic images.
    • Improved preservation of trabecular network connectivity was observed.
    • Porosity values derived from segmented data closely matched experimental measurements.

    Conclusions:

    • Probabilistic relaxation labeling offers a superior approach for trabecular bone segmentation.
    • This method enhances the accuracy of quantitative trabecular bone analysis.
    • The technique shows promise for clinical applications in skeletal disease assessment.