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 surface reconstruction using optical flow for medical imaging

N Weng1, Y H Yang, R Pierson

  • 1Department of Computer Science, University of Saskatchewan, Saskatoon, Canada.

IEEE Transactions on Medical Imaging
|November 22, 1997
PubMed
Summary
This summary is machine-generated.

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

[Clinical characteristics of middle-age and elderly patients with active Takayasu arteritis disease].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases·2026
Same author

[Dyspnea, pulmonary mosaic sign and pulmonary hypertension].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases·2026
Same author

Precise Measurement of the Chromoelectric Dipole Moment of the Charm Quark.

Physical review letters·2026
Same author

Precise Measurement of Matter-Antimatter Asymmetry with Entangled Hyperon-Antihyperon Pairs.

Physical review letters·2026
Same author

[Pathogenesis of fibrosing mediastinitis caused by common etiologies].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases·2026
Same author

Observation of Λ[over ¯]p→K^{+}π^{+}π^{-}π^{0} and Λ[over ¯]p→K^{+}π^{+}π^{-}2π^{0}.

Physical review letters·2026
Same journal

MUST: Multi-style virtual staining with incomplete pairs.

IEEE transactions on medical imaging·2026
Same journal

BrainCL: Transformer-Based Brain Network Contrastive Learning with Multi-Order Topology and Salience Masking.

IEEE transactions on medical imaging·2026
Same journal

LLM-enhanced Neuron Segmentation and Reconstruction in Complex Mouse Brain Images.

IEEE transactions on medical imaging·2026
Same journal

Matrixed-Spectrum Decomposition Accelerated Linear Boltzmann Transport Equation Solver for Fast Scatter Correction in Multi-Spectral CT.

IEEE transactions on medical imaging·2026
Same journal

The Ritz Adjoint Method for MRI Pulse Design.

IEEE transactions on medical imaging·2026
Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
See all related articles

This study introduces a novel surface rendering method using optical flow to reconstruct accurate three-dimensional (3-D) models from 2-D image sequences. The technique shows promise for medical imaging applications, including ultrasound and computed tomography.

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Computational Geometry

Background:

  • Reconstructing 3-D models from 2-D image sequences is crucial for medical image analysis.
  • Existing visualization methods include surface and volume rendering.
  • Image sequences capture more 3-D information than single images due to relative motion.

Purpose of the Study:

  • To propose a new surface rendering method for 3-D model recovery.
  • To utilize optical flow for extracting surface information from 3-D motion.
  • To demonstrate the feasibility of the method for medical computed tomograms.

Main Methods:

  • The proposed method employs optical flow to analyze apparent motion in 2-D image planes.
  • Optical flow fields are used to infer real 3-D motion with additional constraints.

Related Experiment Videos

  • Surface information is extracted from the recovered 3-D motion to build accurate models.

    • Main Results:

    • The method successfully reconstructs 3-D models from both synthetic and real image sequences.
    • Experimental results validate the feasibility of the proposed surface rendering technique.
    • The approach is suitable for reconstructing 3-D models from ultrasound and computed tomograms.

    Conclusions:

    • The novel optical flow-based surface rendering method enables accurate 3-D model recovery.
    • This technique offers a viable solution for enhancing medical image analysis.
    • The method's applicability extends to various computed tomogram modalities.