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Biomedical Information Processing and Visualization for Minimally Invasive Neurosurgery

Biomedical Information Processing and Visualization for Minimally Invasive Neurosurgery
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Author(s): Hongen Liao (The University of Tokyo, Japan)
Copyright: 2013
Pages: 11
Source title: Technological Advancements in Biomedicine for Healthcare Applications
Source Author(s)/Editor(s): Jinglong Wu (Okayama University, Japan)
DOI: 10.4018/978-1-4666-2196-1.ch005

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Abstract

This chapter demonstrates a particular application of biomedical information processing and visualization techniques for minimally invasive diagnosis and therapy in neurosurgery. Computer-assisted surgical navigation provides surgeons valuable information on the precision location of surgical targets and critical areas, as well as the positions of surgical instruments. However, most navigation systems use pre-/intra-operative images, which are displayed on a two-dimensional (2D) display situated away from the surgical field. These setups force the surgeon to take extra steps to match navigation information on the display with the actual surgical target of the patient. Two typical medical information-based navigation systems for neurosurgery are described in this chapter. First, an integration system with fluorescence-based intra-operative diagnosis and laser ablation-based, high-precision, minimally invasive treatment is introduced. Second, an autostereoscopic image-guided surgical system developed for minimally invasive neurosurgery is discussed. The autostereoscopic image and corresponding augmented reality with three-dimensional (3D) image overlay have been used in open magnetic resonance imaging (MRI)-guided neurosurgery. These techniques enable intra-operative visualization of surgical targets for precision tumor resection.

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