Artikel
Three-dimensional demonstrator system for segmentation, elastic registration, data fusion, and navigation for application in neurosurgery
Dreidimensionales Demonstratorsystem zur Segmentierung, elastischen Registrierung, Datenfusion und Navigation für neurochirurgische Anwendungen
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Autoren
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U. Morgenstern
- Institut für Biomedizinische Technik, Technische Universität Dresden
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F. Uhlemann
- Department of Computer Science, University of Auckland, New Zealand
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O. Sergeeva
- Institut für Biomedizinische Technik, Technische Universität Dresden
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T. Meyer
- Institut für Biomedizinische Technik, Technische Universität Dresden
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G. Schackert
- Klinik für Neurochirurgie, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden
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R. Steinmeier
- Klinikum Chemnitz gGmbH, Chemnitz
| Veröffentlicht: | 11. April 2007 |
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Gliederung
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Objective: For neurosurgical operation planning, intraoperative monitoring and postoperative evaluation of operation success, it is necessary to register all imaging data from different modalities, to process and to visualise these data in an accurate and ergonomic way. 3D/4D data should be visualised in virtual space, and essential spacial processing algorithms should be supported by a 3D navigation tool.
Methods: For commonly used data import, processing and visualisation functions the commercially available software system Amira (Mercury Computer Systems GmbH Berlin; TGS Inc. San Diego) is used. The software offers many standard functions, and it supports some autostereoscopic displays to observe spatial data without the need of any special eyeglasses. So the matched information of structural and functional datasets in its variation in time can be made available in virtual space. Data from different modalities like X-ray computed tomography (CT), magnetic resonance imaging (MRI), functional MRI (fMRI), angiography (DSA, MRA), diffusion tensor imaging (DTI), 3D ultrasound (US), emission tomography (PET, SPECT) and intraoperative optical imaging (OI) are accessible for processing from the clinical PACS system and from a special neurosurgical research tumour and aneurysms data base.
Results: For interactive navigation in the virtual data space a 3D manipulating tool (Spaceball) is implemented offering the possibility to select points in the virtual space and move objects and the camera with 6 degrees of freedom. Data in the research data base is documented also in a clearly arranged image catalogue for neurosurgeons. The user interface was simplified and adapted to automate image processing and visualisation modules for special neurosurgical application tasks. With dedicated developer software tools a number of additional functions, e. g. for semi-automatic segmentation within the brain, and for elastic registration were implemented.
Conclusions: The system is now used in neurosurgery. A postoperative scientific analysis of the medical process data will make it possible to analyse beneficial effects with regards to the surgical procedure and to patient outcome.
