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

Surface and volume rendering in three-dimensional imaging: a comparison.

J K Udupa1, H M Hung, K S Chuang

  • 1Department of Radiology, University of Pennsylvania, Philadelphia 19104-6021.

Journal of Digital Imaging
|August 1, 1991
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

Anatomic attention regions via optimal anatomy modeling and recognition for DL-based image segmentation.

Proceedings of SPIE--the International Society for Optical Engineering·2024
Same author

Optimal computed tomography-based biomarkers for prediction of incisional hernia formation.

Hernia : the journal of hernias and abdominal wall surgery·2023
Same author

Autoradiographic and histopathological studies of boric acid-mediated BNCT in hepatic VX2 tumor-bearing rabbits: Specific boron retention and damage in tumor and tumor vessels.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2015
Same author

Automatic Detection of Calcaneal-Fifth Metatarsal Angle Using Radiograph: A Computer-Aided Diagnosis of Flat Foot for Military New Recruits in Taiwan.

PloS one·2015
Same author

Three-dimensional kinematic stress magnetic resonance image analysis shows promise for detecting altered anatomical relationships of tissues in the cervical spine associated with painful radiculopathy.

Medical hypotheses·2013
Same author

Improvements on a patient-specific dose estimation system in nuclear medicine examination.

Radiation protection dosimetry·2013
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

Surface rendering techniques offer a slight edge over volume rendering for visualizing fine anatomical details and are more efficient in terms of time and storage. This comparison focuses on technical merits rather than observer studies.

Area of Science:

  • Medical Imaging
  • Computer Graphics
  • Scientific Visualization

Background:

  • Numerous surface and volume rendering techniques exist for 3D visualization of imaging data.
  • The relative performance of these rendering methodologies is a topic of ongoing discussion.
  • Conducting comprehensive observer studies is challenging due to the vast number of techniques and parameters.

Purpose of the Study:

  • To compare surface and volume rendering methodologies on a technical basis.
  • To introduce a novel surface rendering technique.
  • To evaluate rendering techniques based on specific visualization criteria.

Main Methods:

  • Technical comparison of surface and volume rendering algorithms.
  • Analysis of algorithm behavior concerning portrayal of thin bones, sutures, fractures, textures, and ridges.

Related Experiment Videos

  • Evaluation of computational time and storage requirements.

    • Main Results:

    • Surface rendering demonstrates superior ability in portraying thin bones, sutures, fractures, fine textures, and gyrations.
    • Surface rendering offers smoother natural ridges and silhouettes.
    • Surface rendering exhibits significant advantages in computational time and storage requirements.

    Conclusions:

    • Surface rendering currently holds a slight advantage over volume rendering for specific visualization tasks.
    • Surface rendering presents a significant advantage in terms of computational efficiency and storage needs.
    • Further technical development may influence the comparative performance of these rendering techniques.