Abstract
A new technique is presented to create nosologic images of the brain based on magnetic resonance imaging and magnetic resonance spectroscopic imaging (MRSI). A nosologic image summarizes the presence of different tissues and lesions in a single image by color coding each voxel or pixel according to the histopathological class it is assigned to. The proposed technique applies advanced methods from image processing as well as pattern recognition to segment and classify brain tumors. First, a registered brain atlas and a subject-specific abnormal tissue prior, obtained from MRSI data, are used for the segmentation. Next, the detected abnormal tissue is classified based on supervised pattern recognition methods. Class probabilities are also calculated for the segmented abnormal region. Compared to previous approaches, the new framework is more flexible and able to better exploit spatial information leading to improved nosologic images. The combined scheme offers a new way to produce high-resolution nosologic images, representing tumor heterogeneity and class probabilities, which may help clinicians in decision making.
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Acknowledgements
NMR in Biomedicine and John Wiley and Sons are gratefully acknowledged for the license agreement. Jan Luts is a Postdoctoral Fellow of the Research Foundation-Flanders (FWO-Vlaanderen); Research Council KUL: GOA-MaNet, Centers-of-excellence optimisation, GOA/2004/05 (Mixing and Analyzing Real and Virtual Environments and Lighting); Flemish Government: FWO: PhD/postdoc grants, projects, G.0302.07 (Support vector machines and kernel methods), G.0566.06 (Computational strategies for shape modeling and matching and their application in medical image analysis); Belgian Federal Government: DWTC (IUAP IV-02 (1996–2001), IUAP V-22 (2002–2006): Dynamical Systems and Control: Computation, Identification & Modelling) and Belgian Federal Science Policy Office IUAP P6/04 (Dynamical systems, control and optimization, 2007–2011); EU: eTUMOUR (contract no. FP6-2002-LIFESCIHEALTH 503094), FAST (contract no. FP6-019279-2).
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Luts, J. et al. (2011). Nosologic Imaging of Brain Tumors Using MRI and MRSI. In: Hayat, M. (eds) Tumors of the Central Nervous system, Volume 3. Tumors of the Central Nervous System, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1399-4_16
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DOI: https://doi.org/10.1007/978-94-007-1399-4_16
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