Jove
Visualize
Contact Us

Related Experiment Videos

A semiautomatic tool for 3D medical image analysis using active contour models

J Porrill1, J Ivins

  • 1Artificial Intelligence Vision Research Unit, University of Sheffield, UK.

Medical Informatics = Medecine Et Informatique
|January 1, 1994
PubMed
Summary

A new computerized tool enhances the delineation of anatomical structures in medical imaging like CT scans. This technology aids in creating accurate 3D models for surgical and radiotherapy planning.

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

Kinematic coordination of reach and balance.

Journal of motor behavior·2009
Same author

Recruitment in retractor bulbi muscle during eyeblink conditioning: EMG analysis and common-drive model.

Journal of neurophysiology·2009
Same author

Where is the light? Bayesian perceptual priors for lighting direction.

Proceedings. Biological sciences·2009
Same author

Evidence from retractor bulbi EMG for linearized motor control of conditioned nictitating membrane responses.

Journal of neurophysiology·2007
Same author

Long time-constant behavior of the oculomotor plant in barbiturate-anesthetized primate.

Journal of neurophysiology·2005
Same author

When is now? Perception of simultaneity.

Proceedings. Biological sciences·2002
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

Area of Science:

  • Medical Imaging
  • Computer-Aided Diagnosis
  • Computational Anatomy

Background:

  • Accurate delineation of volumes of interest in medical imaging is crucial for clinical applications.
  • Manual segmentation of multi-slice medical data (e.g., NMR, CT) is time-consuming and prone to variability.
  • Existing tools may lack the efficiency and precision required for complex anatomical structures.

Purpose of the Study:

  • To introduce a novel computerized tool for efficient and accurate delineation of volumes of interest in multi-slice medical data.
  • To enable the creation and manipulation of deformable models for automated region searching.
  • To facilitate the generation of precise 3D anatomical models for clinical planning.

Main Methods:

  • Development of a computerized tool utilizing deformable models for edge and region searching.

Related Experiment Videos

  • Implementation of model copying and freezing functionalities for efficient analysis across image slices.
  • Surface reconstruction from models using conic splines for 3D visualization.
  • Application to segment objects like tumors in NMR and CT images.

    • Main Results:

    • The tool significantly improves the efficiency of delineating volumes of interest in medical imaging.
    • Deformable models can be effectively created, copied, and manipulated for accurate object extraction.
    • Conic spline-based surface reconstruction generates precise 3D representations from segmented data.
    • The developed techniques allow for the creation of 3D images suitable for surgical and radiotherapy planning.

    Conclusions:

    • The computerized tool offers an efficient method for segmenting medical image data.
    • Accurate 3D reconstructions derived from this tool can support improved surgical and radiotherapy planning.
    • This technology has the potential to enhance clinical decision-making in oncology and other fields requiring precise anatomical visualization.