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Pre- and Intraoparative Processing and Integration of Various Anatomical and Functional Data in Neurosurgery.
- Source :
- Studies in Health Technology & Informatics; Aug2006, Vol. 124, p989-994, 6p
- Publication Year :
- 2006
-
Abstract
- A software system is presented, capable of integrating various information sources for neurosurgical procedures. These include anatomical data such as a standard 3D DICOM image stacks, atlas data, as well as functional information (e.g. fmri, MEG, EEG). The system is programmed in C++ using Open GL for visualisation, and was developed in a close cooperation with a neurosurgical department to match existing needs. Preoperatively the data may be combined, registered by a rigid or elastic matching process, enriched by user specified planning information such as annotations or trajectories, and visualised in a standard fashion using different segmentation schemes, interactive rotation, zooming etc. Selected portions of the gathered and generated information may then be exported for neuronavigation input in DICOM or a vendor specific format. Intraoperatively, this information may, on the one hand, be simply used as an integrational part of the routinely used navigational data. On the other hand, the system is also capable of interacting with the navigational system to integrate the actual spatial information of the ongoing procedure into the preoperative data, thus allowing further planning and visualisation beyond the scope of the navigational unit. Furthermore, intraoperatively updated information such as intraoperative MR images or electrophysiological data may be integrated and correlated to the existing information. Ongoing developments comprise redistribution of the relevant data for injection onto the screen of the navigational system or into the optical pathway of the (3D capable) microscope display/ocular. This also includes information about the actual automatically optimized accuracy of the navigation process in relation to the head markers in use. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09269630
- Volume :
- 124
- Database :
- Complementary Index
- Journal :
- Studies in Health Technology & Informatics
- Publication Type :
- Academic Journal
- Accession number :
- 22987921