Tuesday, February 9, 2010
| Login | Search | Contact Information |
RSNA 2008 Logo
loading


TOOLS
    Print
    Email Event
    Email Author
PARTICIPANTS
Presenter
Daniel Rubin MD  
Abstract Co-Author
Pattanasak Mongkolwat PhD  
Vladimir Kleper MS  
Kaustubh Supekar MS  
David Channin MD  
AWARDS
Cum Laude
Selected for RadioGraphics
SUBSPECIALTY CONTENT
Informatics
 
  CODE: LL-IN2578
 

"Saying It in Pictures": Annotation and Image Markup in Radiology

 
 
  DATE:
  EXHIBIT HOURS: Sun. 8:00 AM - 6:00 PM
Mon. - Thurs. 7:00 AM - 10:00 PM
Fri. 7:00 AM - 12:45 PM
  LOCATION: Lakeside Learning Center



  DISCLOSURES
  D.R. - Nothing to disclose.  
  P.M. - Nothing to disclose.  
  V.K. - Nothing to disclose.  
  K.S. - Nothing to disclose.  
  D.C. - Research funded, Carestream Health, Inc, Rochester, NY  

 PURPOSE/AIM
 

1. To understand the importance of image annotation/markup for communication and computerized access to image meaning.

2. To review current approaches and tools for image annotation and markup.

3. To describe emerging standards in image annotation and new applications that could empower the radiologist to use images more effectively.

  
 CONTENT ORGANIZATION
 

Motivation: Need to tie image content to the images themselves.

Tutorial: (1) Markup: visual communication of image information. (2) Annotation: making the “image semantics” explicit.

Current tools:
(1) Image markup in PACS.
(2) Image markup in teaching files/MIRC.
(3) Image markup on the Web.

New methods and standards: (1) Annotation and Image Markup (AIM) annotation schema. (2) Ontologies for images. (3) Semantic image annotation tools.

  
 SUMMARY
 

The major teaching points of this exhibit are:

(1) Radiology image markup is critical for communicating imaging information.

(2) Current image annotation methods are limited only to visual presentation of markup.

(3) AIM is a new standard enabling semantic image annotation, making image content computable for advanced applications and interoperability.

(4) New applications will emerge based on AIM to enable radiologists to access and use images in new and powerful ways.

  
QUESTIONS ABOUT THIS EVENT EMAIL:
   daniel.l.rubin@stanford.edu