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Iterative Multimodal Computer-Assisted Navigation Using Pre- and Intraoperative Image Data

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Abstract:



Computer-assisted navigation shall reliably guide the surgeon to a planned target position. Various medical image modalities are required for a safe diagnosis and intervention planning. For treatment forms like LITT, therapy simulation should be part of a planning scenario. In soft tissues, the intervention usually will render preoperative images inappropriate if tissue shifts occur. In these cases intraoperative images are necessary to show the current state, to update the preoperative data, and to register preoperative images to the current situation. The update is an iterative process triggered by situational changes during the ongoing intervention. This paper presents our concept of iterative multimodal navigation that has been implemented in the LOCALITE Navigator for interventional MR and ultrasound.

Keywords: CAS; LITT; brain shift; iMR; image fusion; intraoperative imaging; navigation; neuronavigation; ultrasound

Document Type: Original Article

DOI: https://doi.org/10.1078/1615-1615-00055

Affiliations: 1: Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, Germany 2: Universitätsklinikum Leipzig, Department of Neurosurgery, Leipzig, Germany 3: Universitätsklinikum Leipzig, Department of Radiology, Leipzig, Germany 4: Department of Neurosurgery, Klinikum, Krefeld, Germany

Publication date: 2002-07-01

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