RSNA 2005 

Abstract Archives of the RSNA, 2005


RC132B

Three-dimensional Image Processing, Analysis, and Visualization: Clinical Applications

Refresher Courses

Presented on November 27, 2005
Presented as part of RC132: Categorical Course in Diagnostic Radiology Physics: Multidimensional Image Processing, Analysis, and Display—Introduction to Multidimensional Medical Imaging

Participants

Elliot Keith Fishman MD, Presenter: Nothing to Disclose

LEARNING OBJECTIVES

1. Understand the current status of 3D imaging in clinical radiology. 2. Learn more about the role of visualization for analysis of volumetric CT datasets generated with the newest 64 slice CT scanners. 3. Learn about the current technical challenges for volume visualization from a clinical perspective. 4. Learn about the clinical applications for 3D imaging ranging from coronary CTA to virtual colonoscopy to 4D imaging.

ABSTRACT

The continuing advances in both the quality of the CT datasets we acquire combined with newer more robust post processing algorithms have finally began to move 3D imaging into the mainstream. With the current state of the art of CT which is 64 slice MDCT we are now routinely dealing with 1000-4000 slice datasets which can no longer be viewed in axial plane. In addition these datasets have isotrophic resolution with a spatial resolution of under .4 mm and so are ideal for visualization with volume rendering and MIP techniques. In addition to the static 3D images the current technology can generate,we can also generate fly through studies for virtual colonoscopy or 4 dimensional displays of the aortic valve. The role of 3D and 4D visualization has never been greater in clinical practice. In this talk I will address the current state of the art of 3D visualization from a clinicians perspective and how imaging can provide the information for more timely and better patient care.I will address both new applications like coronary artery imaging and run-off studies as well as classic applications like the kidney and aorta. Newer applications like auto-vessel segmentation and real time holographic visualization will also be addressed. Finally I will also focus on some of the limitations of these techniques and how future development must address some basic issues in order for us to move forward.

DISCLOSURE

E.K.F.: GE Heathcare-Consultant, Advisory Board Siemens Medical- Consultant, Advisory Board HipGraphics- co-founder

Cite This Abstract

Fishman, E, Three-dimensional Image Processing, Analysis, and Visualization: Clinical Applications.  Radiological Society of North America 2005 Scientific Assembly and Annual Meeting, November 27 - December 2, 2005 ,Chicago IL. http://archive.rsna.org/2005/4405276.html