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Proceedings Paper

Integration of 3D 1H-magnetic resonance spectroscopy data into neuronavigation systems for tumor biopsies
Author(s): Berkay Kanberoglu; Nina Z. Moore; David Frakes; Lina J. Karam; Josef P. Debbins; Mark C. Preul
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Paper Abstract

Many important applications in clinical medicine can benefit from the fusion of spectroscopy data with anatomical images. For example, the correlation of metabolite profiles with specific regions of interest in anatomical tumor images can be useful in characterizing and treating heterogeneous tumors that appear structurally homogeneous. Such applications can build on the correlation of data from in-vivo Proton Magnetic Resonance Spectroscopy Imaging (1HMRSI) with data from genetic and ex-vivo Nuclear Magnetic Resonance spectroscopy. To establish that correlation, tissue samples must be neurosurgically extracted from specifically identified locations with high accuracy. Toward that end, this paper presents new neuronavigation technology that enhances current clinical capabilities in the context of neurosurgical planning and execution. The proposed methods improve upon the current state-of-the-art in neuronavigation through the use of detailed three dimensional (3D) 1H-MRSI data. MRSI spectra are processed and analyzed, and specific voxels are selected based on their chemical contents. 3D neuronavigation overlays are then generated and applied to anatomical image data in the operating room. Without such technology, neurosurgeons must rely on memory and other qualitative resources alone for guidance in accessing specific MRSI-identified voxels. In contrast, MRSI-based overlays provide quantitative visual cues and location information during neurosurgery. The proposed methods enable a progressive new form of online MRSI-guided neuronavigation that we demonstrate in this study through phantom validation and clinical application.

Paper Details

Date Published: 12 March 2013
PDF: 7 pages
Proc. SPIE 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, 86711B (12 March 2013); doi: 10.1117/12.2007778
Show Author Affiliations
Berkay Kanberoglu, Arizona State Univ. (United States)
Nina Z. Moore, Barrow Neurological Institute, St. Joseph's Hospital and Medical Ctr. (United States)
David Frakes, Arizona State Univ. (United States)
Lina J. Karam, Arizona State Univ. (United States)
Josef P. Debbins, Arizona State Univ. (United States)
Barrow Neurological Institute, St. Joseph's Hospital and Medical Ctr. (United States)
Mark C. Preul, Barrow Neurological Institute, St. Joseph's Hospital and Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 8671:
Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling
David R. Holmes; Ziv R. Yaniv, Editor(s)

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