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

Automated solid models from serial section images.

C M Ho1, M W Vannier, S J Bresina

  • 1Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 64110.

Journal of Digital Imaging
|May 1, 1992
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

Huriez syndrome caused by a large deletion that abrogates the skin-specific isoform of SMARCAD1.

The British journal of dermatology·2021
Same author

Posterior reversible encephalopathy syndrome as a neuropsychiatric manifestation of systemic lupus erythematosus.

Hong Kong medical journal = Xianggang yi xue za zhi·2019
Same author

Genitourinary syndrome of menopause in five Asian countries: results from the Pan-Asian REVIVE survey.

Climacteric : the journal of the International Menopause Society·2017
Same author

Development of anti-influenza A compounds: a pilot study.

Hong Kong medical journal = Xianggang yi xue za zhi·2013
Same author

Immune responses to tyrophagus putrescentiae-induced airway inflammation in mice.

Journal of investigational allergology & clinical immunology·2013
Same author

Anaerobic ammonium oxidation improvement via a novel capsule bioreactor.

Environmental technology·2012
Same journal

Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.

Journal of digital imaging·2023
Same journal

Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks.

Journal of digital imaging·2023
Same journal

DMCA-GAN: Dual Multilevel Constrained Attention GAN for MRI-Based Hippocampus Segmentation.

Journal of digital imaging·2023
Same journal

Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms.

Journal of digital imaging·2023
Same journal

Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review.

Journal of digital imaging·2023
Same journal

External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer.

Journal of digital imaging·2023
See all related articles

A novel method creates accurate 3D solid models from wrist CT scans using hybrid polygonal/B-spline representations. This technique automates the conversion of bone outlines into detailed, usable solid models for engineering applications.

Area of Science:

  • Biomedical Engineering
  • Computer-Aided Design (CAD)
  • Medical Imaging Analysis

Background:

  • Creating accurate 3D models from medical scans is crucial for analysis and design.
  • Existing methods may lack completeness or unambiguous representation of complex anatomical structures.
  • Integrating scan data with solid modeling software presents technical challenges.

Purpose of the Study:

  • To develop and validate a new method for generating unambiguous and complete boundary representation solid models.
  • To utilize a hybrid polygonal/nonuniform rational B-spline (NURBS) representation for enhanced model fidelity.
  • To enable the use of biomedical computed tomography (CT) scan data within a solid modeling environment.

Main Methods:

  • Applied polygon surface approximation to parallel planar outlines derived from wrist CT scans.

Related Experiment Videos

  • Developed an automated technique to transform 2D edge contours into 3D solid models.
  • Integrated a custom batch file command sequence generator with the I-DEAS mechanical CAD/CAE software.
  • Main Results:

    • Successfully created unambiguous and complete boundary representation solid models.
    • Demonstrated the feasibility of using CT scan data for solid model generation.
    • Validated the method on computed tomography scans of the wrist anatomy.

    Conclusions:

    • The developed hybrid modeling method effectively generates accurate solid models from biomedical scan data.
    • The automated transformation technique streamlines the process of converting scan outlines to solid models.
    • This approach facilitates the application of advanced CAD/CAE tools to medical imaging data.