Paper
24 March 2011 IHE for surgery: scope and first proposals for a new domain within the Integrating the Healthcare Enterprise initiative
Oliver Burgert, Philipp Liebmann, Thomas Treichel
Author Affiliations +
Abstract
The current trend in medical device industry towards modular systems architectures leads to a growing need of standards which guarantee interoperability between modules and systems. Unfortunately, there are several standards as well as proprietary solutions which might have an overlapping scope, and within standard-based systems there are sometimes different interpretations on how a standard shall be used. We propose to use the "Integrating the Healthcare Enterprise (IHE)" initiative as a platform for clarification the use of standards for the surgical domain. To show the feasibility of this approach, we sketched three Integration Profiles within the field of implantation planning: One for the description of surface meshes, one for Implant Templates and one for Implantation Plans. This paper focus is on the first IHE proposals based on the existing DICOM Supplements in the context of surgical implantation planning. The Integration Profiles are describing, how the corresponding DICOM data structures introduced by DICOM Supplements 131, 132 and 134 (Implant Template, Surface Mesh Segmentation and Implantation Plan) shall be used in order to accomplish the data transfer needed for the whole process chain from implant manufacturer via the manufacturer of an implantation planning software to the end user in the hospital.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oliver Burgert, Philipp Liebmann, and Thomas Treichel "IHE for surgery: scope and first proposals for a new domain within the Integrating the Healthcare Enterprise initiative", Proc. SPIE 7967, Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 79670P (24 March 2011); https://doi.org/10.1117/12.877812
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KEYWORDS
Image segmentation

Surgery

Manufacturing

Medicine

Tumors

Image retrieval

Image storage

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