Paper
7 May 1997 Three-dimensional computer-assisted MR imaging for neurosurgical planning
Johannes Burtscher, Christian Kremser, M. Seiwald, M. Wagner, F. Aichner, K. Twerdy, S. Felber
Author Affiliations +
Abstract
Magnetic Resonance Imaging is the accepted method of choice for the diagnosis of central nervous system disorders.' Present neurosurgical planning depends on two-dimensional information obtained from MRI and CT cross-sections.2' 3After sequential reading of a series of two-dimensional images, the information has to be mentally transformed into a virtual threedimensional image of the complex three-dimensional anatomy by the neurosurgeon. These mental transformations are difficult or sometimes even impossible. Nowadays the challenge to the neurosurgeon has changed from the primary succesfull removal of a tumor to a minimal iniasive approach without distruction of normal brain tissue. These minimal invasive strategies need meticulous preoperative planning and often the support of intraoperative navigation.4 For the approach of subcortical lesions the precise pre-operative defmition not only of the target but also of the cortical entrance point is crucial. Therefore exact knowledge about the gyral and sulcal anatomy of the cerebral cortex in relation to the cortical veins is 567,8 We evaluated the impact of a 3D-display of the brain, vasculature and tumor on surgical decisions during planning and executions of operations for intracranial tumors in or near the central region. The 3D reconstruction and display is based on 3D MR data sets and a semiautomatic segmentation technique. Tumors as well as the surrounding or overlying neuronal and neurovascular anatomy are displayed on the 3D computer screen.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Johannes Burtscher, Christian Kremser, M. Seiwald, M. Wagner, F. Aichner, K. Twerdy, and S. Felber "Three-dimensional computer-assisted MR imaging for neurosurgical planning", Proc. SPIE 3031, Medical Imaging 1997: Image Display, (7 May 1997); https://doi.org/10.1117/12.273969
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KEYWORDS
3D image processing

Tumors

Magnetic resonance imaging

Image segmentation

Brain

Veins

3D displays

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