Supervised partial volume effect unmixing for brain tumor characterization using multi-voxel MR spectroscopic imaging

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Title: Supervised partial volume effect unmixing for brain tumor characterization using multi-voxel MR spectroscopic imaging
Authors: Asad, M
Yang, G
Slabaugh, G
Item Type: Conference Paper
Abstract: A major challenge faced by multi-voxel Magnetic Resonance Spectroscopy (MV-MRS) imaging is partial volume effect (PVE), where signals from two or more tissue types may be mixed within a voxel. This problem arises due to the low resolution data acquisition, where the size of a voxel is kept relatively large to improve the signal to noise ratio. We propose a novel supervised Signal Mixture Model (SMM), which characterizes the MV-MRS signal into normal, low grade (infiltrative) and high grade (necrotic) brain tissue types, while accounting for in-type variation. An optimization problem is solved based on differential equations, to unmix the tissue by estimating mixture coefficients corresponding to each tissue type at each voxel. This enables visualization of probability heatmaps, useful for characterizing heterogeneous tumors. Experimental results show an overall accuracy of 91.67% and 88.89% for classifying tumors into either low or high grade against histopathology, and demonstrate the method's potential for non-invasive computer-aided diagnosis.
Issue Date: 13-Apr-2016
Date of Acceptance: 1-Jan-2016
URI: http://hdl.handle.net/10044/1/38826
DOI: http://dx.doi.org/10.1109/ISBI.2016.7493301
ISBN: 9781479923502
ISSN: 1945-7928
Publisher: IEEE
Start Page: 436
End Page: 439
Journal / Book Title: Proceedings of the 13th International Symposium on Biomedical Imaging (ISBI)
Copyright Statement: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Conference Name: 13th International Symposium on Biomedical Imaging (ISBI)
Publication Status: Published
Start Date: 2016-04-13
Finish Date: 2016-04-16
Conference Place: Prague, Czech Republic
Appears in Collections:National Heart and Lung Institute



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