ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Three-dimensional computed tomographic imaging | JoVE Visualize

Home
Research Domains
Information And Computing Sciences

Three-dimensional computed tomographic imaging

J A Katowitz¹, G T Herman, L A Whitaker

¹Department of Ophthalmology, University of Pennsylvania, Philadelphia.

Ophthalmic Plastic and Reconstructive Surgery|January 1, 1987

View abstract on PubMed

Summary

Three-dimensional imaging from computed tomographic data offers ophthalmologists a powerful new diagnostic tool. This technology enhances visualization of ocular and skeletal anatomy for improved patient management.

Area of Science:

Ophthalmology
Medical Imaging
Radiology

Background:

Computed tomographic (CT) data has traditionally been used for 2D image reconstruction.
Advancements in imaging technology now enable the creation of true three-dimensional (3D) visualizations.

Purpose of the Study:

To discuss the fundamental principles of 3D imaging derived from CT data.
To review the clinical applications of 3D imaging for ophthalmologists.
To highlight its potential in diagnosing and managing ophthalmic conditions.

Main Methods:

Utilizing advanced computer algorithms to reconstruct 3D images from CT scans.
Employing techniques for both static and dynamic review of the 3D reconstructions.
Focusing on the analysis of skeletal structures relevant to ophthalmology.

Main Results:

3D imaging allows for a more precise definition of normal and pathological anatomy.
The technology facilitates detailed visualization of complex structures, particularly skeletal elements.
Both static and dynamic viewing modes offer comprehensive anatomical insights.

Conclusions:

Three-dimensional imaging represents a significant advancement for clinical ophthalmology.
This technique improves the accuracy of anatomical assessment, aiding diagnosis and treatment planning.
Its application, especially for skeletal structures, holds considerable promise for patient care.

Computer Vision And Multimedia Computation

Computational Imaging

Three-dimensional Computed Tomographic Imaging