Deriving DICOM surgical extensions from surgical workflows

O. Burgert; T. Neumuth; M. Gessat; S. Jacobs; H. U. Lemke

doi:10.1117/12.719537

7 March 2007 Deriving DICOM surgical extensions from surgical workflows

O. Burgert, T. Neumuth, M. Gessat, S. Jacobs, H. U. Lemke

Proceedings Volume 6516, Medical Imaging 2007: PACS and Imaging Informatics; 651604 (2007) https://doi.org/10.1117/12.719537
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

The generation, storage, transfer, and representation of image data in radiology are standardized by DICOM. To cover the needs of image guided surgery or computer assisted surgery in general one needs to handle patient information besides image data. A large number of objects must be defined in DICOM to address the needs of surgery. We propose an analysis process based on Surgical Workflows that helps to identify these objects together with use cases and requirements motivating for their specification. As the first result we confirmed the need for the specification of representation and transfer of geometric models. The analysis of Surgical Workflows has shown that geometric models are widely used to represent planned procedure steps, surgical tools, anatomical structures, or prosthesis in the context of surgical planning, image guided surgery, augmented reality, and simulation. By now, the models are stored and transferred in several file formats bare of contextual information. The standardization of data types including contextual information and specifications for handling of geometric models allows a broader usage of such models. This paper explains the specification process leading to Geometry Mesh Service Object Pair classes. This process can be a template for the definition of further DICOM classes.

Citation Download Citation

O. Burgert, T. Neumuth, M. Gessat, S. Jacobs, and H. U. Lemke "Deriving DICOM surgical extensions from surgical workflows", Proc. SPIE 6516, Medical Imaging 2007: PACS and Imaging Informatics, 651604 (7 March 2007); https://doi.org/10.1117/12.719537

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available