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

Medical image rendering.

J K Udupa1, R J Goncalves

  • 1Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia 19104.

American Journal of Cardiac Imaging
|September 1, 1993
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

Characteristic Sizes of Life in the Oceans, from Bacteria to Whales.

Annual review of marine science·2015
Same author

Photochemical responses of three marine phytoplankton species exposed to ultraviolet radiation and increased temperature: role of photoprotective mechanisms.

Journal of photochemistry and photobiology. B, Biology·2014
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

Boundary detection in multidimensions.

IEEE transactions on pattern analysis and machine intelligence·2011
Same journal

Transesophageal echocardiography during removal of central venous catheter associated with thrombus in superior vena cava.

American journal of cardiac imaging·1996
Same journal

Effect of left atrial size on recurrence of atrial fibrillation after electrical cardioversion: atrial dimension versus volume.

American journal of cardiac imaging·1996
Same journal

Doppler echocardiographic assessment of the new ATS medical prosthetic valve in the aortic position.

American journal of cardiac imaging·1996
Same journal

Evaluation of reference systems for quantitative wall motion analysis from three-dimensional endocardial surface reconstruction: an echocardiographic study in subjects with and without myocardial infarction.

American journal of cardiac imaging·1996
Same journal

Variation of heart rate and electrocardiograph trigger interval during ultrafast computed tomography.

American journal of cardiac imaging·1996
Same journal

Comparison of 10, 20, and 40 level electron beam computed tomography studies for coronary calcium.

American journal of cardiac imaging·1996
See all related articles

This study introduces a unified framework for three-dimensional (3-D) medical visualization. By defining basic operators and their combinations, new rendering methods emerge for improved portrayal of medical imaging data.

Area of Science:

  • Medical Imaging
  • Computer Graphics
  • Scientific Visualization

Background:

  • Three-dimensional (3-D) visualization is integral to modern medicine.
  • A lack of a unified framework hinders the study and comparison of existing visualization methods.
  • Current methods often integrate independent operations for computational efficiency, obscuring their fundamental components.

Purpose of the Study:

  • To present a unified framework for understanding and analyzing 3-D medical visualization methods.
  • To reveal interrelationships and interdependencies among various visualization techniques.
  • To demonstrate the emergence of novel visualization methods with potentially enhanced image rendition through this unified approach.

Main Methods:

  • Introduction of an operator notation for concise description of basic 3-D imaging transforms.

Related Experiment Videos

  • Identification of a comprehensive set of fundamental transforms.
  • Development of new basic transforms for filtering, interpolating, and rendering structures and volumes.

    • Main Results:

    • Demonstration that 3-D imaging methodologies can be effectively represented as combinations of basic operators.
    • Generation of a wide array of new rendering methods derived from the unified framework.
    • Development of distinct transform sequences optimized for rendering both robust (well-defined boundaries) and frail (ill-defined boundaries) structures.

    Conclusions:

    • The unified operator-based framework provides a powerful tool for analyzing and developing 3-D medical visualization techniques.
    • This approach facilitates the creation of diverse and improved rendering methods.
    • Tailored visualization strategies can be developed for optimal portrayal of different types of anatomical structures.