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

A seepage flow model for vertebra CT image segmentation.

Haiyun Li1, Zheng Wang

  • 1College of Biomedical Engineering Capital University of Medical Science, Beijing, China.

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

A novel seepage flow model for medical image segmentation uses a "water seeks its own level" principle. This method efficiently segments clinical images by identifying pixels within specific thresholds, improving region and contour characteristics.

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

Neutrophils From Aged Individuals Release NETs to Impair Oral Wound Healing Through NLRP3 Activation.

Oral diseases·2026
Same author

Human brain fingerprint-like nodes within RSFC: an exploratory study and their role in RSFC-behavior associations.

Brain imaging and behavior·2026
Same author

Clinical features and prognosis of patients with malignant tumors complicated by cerebral infarction.

American journal of cancer research·2026
Same author

Stabilizing Efficient Perovskite/Silicon Tandem Solar Cells With Amorphous and Asymmetric Hole-Selective Contacts.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Effect of psychomotor rehabilitation on rehabilitation exercise in elderly patients with mental disorders and its impact on cognitive function and risk incidence.

Medicine·2026
Same author

Alveolar ridge preservation in defect sockets with simultaneous periodontal regeneration in adjacent teeth: a retrospective cohort study.

Journal of stomatology, oral and maxillofacial surgery·2026

Area of Science:

  • Medical Imaging
  • Image Segmentation
  • Computational Modeling

Background:

  • Accurate medical image segmentation is crucial for diagnosis and treatment planning.
  • Existing segmentation methods often face challenges with complex image features and noise.

Purpose of the Study:

  • To introduce a new seepage flow model for enhanced medical image segmentation.
  • To develop a model that improves the accuracy of region and contour measurements in segmented images.

Main Methods:

  • A seepage flow model inspired by natural water behavior was developed.
  • The model submerges pixels connected to a 'spring head' within defined thresholds.
  • A new merit function based on the Mumford-Shah function was created, incorporating region and contour measurements.

Related Experiment Videos

Main Results:

  • The model successfully segmented clinical images.
  • The new merit function demonstrated effectiveness in capturing both region and contour characteristics.
  • The seepage flow approach proved efficient for medical image segmentation tasks.

Conclusions:

  • The proposed seepage flow model offers an effective and efficient approach to medical image segmentation.
  • The model's ability to balance region and contour characteristics enhances segmentation accuracy.
  • This method shows promise for various clinical image analysis applications.