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

Epiphyseal fusion assessment based on wavelets decomposition analysis

E Pietka1, H K Huang

  • 1UCSF Medical School, Department of Radiology 94143-0628, USA.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|November 1, 1995
PubMed
Summary

This study introduces a computerized method for analyzing epiphyseal fusion in hand wrist radiographs using wavelets decomposition. The approach accurately stages bone fusion, aiding in assessments like bone age determination.

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

[Effects of Shugan Jieyu capsules combined with Zolpidem on sleep quality and daytime cognitive function in insomnia with depressive symptoms patients].

Zhonghua yi xue za zhi·2025
Same author

HoG feature based detection of tissue deformations in ultrasound data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2016
Same author

Watershed based intelligent scissors.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2015
Same author

Soft computing approach to 3D lung nodule segmentation in CT.

Computers in biology and medicine·2014
Same author

Medical imaging, PACS, and imaging informatics: retrospective.

Radiological physics and technology·2013
Same author

Medical imaging informatics simulators: a tutorial.

International journal of computer assisted radiology and surgery·2013

Area of Science:

  • Radiology
  • Medical Imaging Analysis
  • Biomedical Engineering

Background:

  • Epiphyseal fusion in hand wrist radiographs is crucial for bone age assessment and diagnosing conditions like gonadal dysgenesis.
  • Current analysis methods may lack accuracy and require manual intervention.

Purpose of the Study:

  • To develop and validate a computerized method for quantitative epiphyseal fusion analysis.
  • To improve the accuracy and potential for unsupervised application in radiographic assessments.

Main Methods:

  • A wavelets decomposition approach is applied to automatically selected regions of interest in hand wrist radiographs.
  • A preliminary test filters overexposed images to enhance analysis reliability.
  • A quantitative measure is derived, decreasing as epiphyseal fusion progresses.

Related Experiment Videos

Main Results:

  • The wavelets decomposition method effectively analyzes the texture of epiphyseal regions.
  • The analysis accurately assigns fusion to one of four distinct stages: no fusion, early, advanced, or completed fusion.
  • The preliminary image quality test improves algorithm accuracy.

Conclusions:

  • Wavelets decomposition is an efficient technique for texture analysis in epiphyseal fusion assessment.
  • The developed algorithm offers a reliable and potentially unsupervised method for staging bone fusion.
  • This technology can enhance the accuracy of bone age assessment and related diagnostic procedures.