Accurate Classification of Brain Gliomas by Discriminate Dictionary Learning Based on Projective Dictionary Pair Learning of Proton Magnetic Resonance Spectra

Accurate Classification of Brain Gliomas by Discriminate Dictionary Learning Based on Projective Dictionary Pair Learning of Proton Magnetic Resonance Spectra Publisher Pubmed

Adebileje SA^{1, 2} ; Ghasemi K^{2, 3} ; Aiyelabegan HT⁴ ; Saligheh Rad H^{1, 2}

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1. Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences â€“ International Campus (TUMS-IC), Tehran, Iran
2. Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran, Iran
3. Department of Chemistry, Imam Khomeini International University, Tehran, Iran
4. Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences â€“ International Campus, Tehran, Iran

Source: Magnetic Resonance in Chemistry Published:2017

Abstract

Proton magnetic resonance spectroscopy is a powerful noninvasive technique that complements the structural images of cMRI, which aids biomedical and clinical researches, by identifying and visualizing the compositions of various metabolites within the tissues of interest. However, accurate classification of proton magnetic resonance spectroscopy is still a challenging issue in clinics due to low signal-to-noise ratio, overlapping peaks of metabolites, and the presence of background macromolecules. This paper evaluates the performance of a discriminate dictionary learning classifiers based on projective dictionary pair learning method for brain gliomas proton magnetic resonance spectroscopy spectra classification task, and the result were compared with the sub-dictionary learning methods. The proton magnetic resonance spectroscopy data contain a total of 150 spectra (74 healthy, 23 grade II, 23 grade III, and 30 grade IV) from two databases. The datasets from both databases were first coupled together, followed by column normalization. The Kennard–Stone algorithm was used to split the datasets into its training and test sets. Performance comparison based on the overall accuracy, sensitivity, specificity, and precision was conducted. Based on the overall accuracy of our classification scheme, the dictionary pair learning method was found to outperform the sub-dictionary learning methods 97.78% compared with 68.89%, respectively. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Style	Citing Format
MLA	Adebileje SA, et al.. "Accurate Classification of Brain Gliomas by Discriminate Dictionary Learning Based on Projective Dictionary Pair Learning of Proton Magnetic Resonance Spectra." Magnetic Resonance in Chemistry, vol. 55, no. 4, 2017, pp. 318-322.
APA	Adebileje SA, Ghasemi K, Aiyelabegan HT, Saligheh Rad H (2017). Accurate Classification of Brain Gliomas by Discriminate Dictionary Learning Based on Projective Dictionary Pair Learning of Proton Magnetic Resonance Spectra. Magnetic Resonance in Chemistry, 55(4), 318-322.
Chicago	Adebileje SA, Ghasemi K, Aiyelabegan HT, Saligheh Rad H. "Accurate Classification of Brain Gliomas by Discriminate Dictionary Learning Based on Projective Dictionary Pair Learning of Proton Magnetic Resonance Spectra." Magnetic Resonance in Chemistry 55, no. 4 (2017): 318-322.
Harvard	Adebileje SA et al. (2017) 'Accurate Classification of Brain Gliomas by Discriminate Dictionary Learning Based on Projective Dictionary Pair Learning of Proton Magnetic Resonance Spectra', Magnetic Resonance in Chemistry, 55(4), pp. 318-322.
Vancouver	Adebileje SA, Ghasemi K, Aiyelabegan HT, Saligheh Rad H. Accurate Classification of Brain Gliomas by Discriminate Dictionary Learning Based on Projective Dictionary Pair Learning of Proton Magnetic Resonance Spectra. Magnetic Resonance in Chemistry. 2017;55(4):318-322.
BibTex	@article{ author = {Adebileje SA and Ghasemi K and Aiyelabegan HT and Saligheh Rad H}, title = {Accurate Classification of Brain Gliomas by Discriminate Dictionary Learning Based on Projective Dictionary Pair Learning of Proton Magnetic Resonance Spectra}, journal = {Magnetic Resonance in Chemistry}, volume = {55}, number = {4}, pages = {318-322}, year = {2017} }
RIS	TY - JOUR AU - Adebileje SA AU - Ghasemi K AU - Aiyelabegan HT AU - Saligheh Rad H TI - Accurate Classification of Brain Gliomas by Discriminate Dictionary Learning Based on Projective Dictionary Pair Learning of Proton Magnetic Resonance Spectra JO - Magnetic Resonance in Chemistry VL - 55 IS - 4 SP - 318 EP - 322 PY - 2017 ER -

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