A hybrid method of application of independent component analysis to invivo 1H MR spectra of childhood brain tumours

NMR in Biomedicine

Volumn 25, Issue 4, 2012, Pages 594-606

  Hao, Jie ^a   Zou, Xin ^a   Wilson, Martin ^a,b   Davies, Nigel P ^a,b,c   Sun, Yu ^a,b   C Peet, Andrew ^a,b   Arvanitis, Theodoros N ^a,b  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b BIRMINGHAM CHILDREN S HOSPITAL NHS FOUNDATION TRUST   (United Kingdom)

^c UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

Blind source separation; Childhood brain tumour; Feature extraction; Independent component analysis (ICA); invivo 1H MRS

Indexed keywords

BASIS SETS; BLIND SOURCE SEPARATION (BSS); BRAIN TUMOURS; CHILDHOOD BRAIN TUMOUR; DATA SETS; FE METHOD; HYBRID METHOD; IN-VIVO; INDEPENDENT COMPONENTS; OVERLAPPING PEAKS; SAMPLE SIZES;

BIOMOLECULES; BRAIN; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; METABOLISM; METABOLITES; TUMORS;

BLIND SOURCE SEPARATION;

ALGORITHM; ARTICLE; BRAIN TUMOR; CHILD; CHILDHOOD CANCER; DECOMPOSITION; HUMAN; HYBRID; IN VIVO STUDY; INDEPENDENT COMPONENT ANALYSIS; MAJOR CLINICAL STUDY; METABOLITE; PRIORITY JOURNAL; PROTON NUCLEAR MAGNETIC RESONANCE; SIMULATION; VALIDATION PROCESS;

ALGORITHMS; CHILD; CHILD, PRESCHOOL; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; NEOPLASMS; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TUMOR MARKERS, BIOLOGICAL;

EID: 84863379295     PISSN: 09523480     EISSN: 10991492     Source Type: Journal    
DOI: 10.1002/nbm.1776     Document Type: Article

References (30)

1. Provencher SW. Estimation of metabolite concentrations from localized invivo proton NMR spectra. Magn. Reson. Med. 1993; 30(6): 672-679.
2. Provencher S. LCModel and LCMgui Users Manual. 2011.
3. Poullet JB, Sima DM, Simonetti AW, De Neuter B, Vanhamme L, Lemmerling P, Van Huffel S. An automated quantitation of short echo time MRS spectra in an open source software environment: AQSES. NMR Biomed. 2007; 20(5): 493-504.
4. Ratiney H, Sdika M, Coenradie Y, Cavassila S, Ormondt D, Graveron-Demilly D. Time-domain semi-parametric estimation based on a metabolite basis set. NMR Biomed. 2005; 18(1): 1-13.
5. Hyvarinen A, Karhunen J, Oja E. Independent Component Analysis. Wiley: New York; 2001.
6. Stone JV. Independent Component Analysis: A Tutorial Introduction. MIT Press: Cambridge, MA; 2004.
7. Roberts S, Everson R. Independent Component Analysis: Principles and Practice. Cambridge University Press: Cambridge, New York; 2001.
8. Saruwatari H, Kurita S, Takeda K, Itakura F, Nishikawa T, Shikano K. Blind source separation combining independent component analysis and beamforming. EURASIP. J. Appl. Signal. Process 2003; 11: 1135-1146.
9. Lee J-H, Jung H-Y, Lee T-W, Lee S-Y. Speech feature extraction using independent component analysis. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASP '00, Istanbul, Turkey, 2000; 1631-1634.
10. Ladroue C, Howe FA, Griffiths JR, Tate AR. Independent component analysis for automated decomposition of invivo magnetic resonance spectra. Magn. Reson. Med. 2003; 50(4): 697-703.
11. 1H MR spectroscopic imaging exams of brain tumours. Anal. Chim. Acta 2005; 544(1-2): 36-46.
12. Pulkkinen J, Hakkinen AM, Lundbom N, Paetau A, Kauppinen RA, Hiltunen Y. Independent component analysis to proton spectroscopic imaging data of human brain tumours. Eur. J. Radiol. 2005; 56(2): 160-164.
13. Lee YYB, Huang Y, El-Deredy W, Lisboa PJG, Arus C, Harris P. Robust methodology for the discrimination of brain tumours from invivo magnetic resonance spectra. IET Sci. Meas. Technol. 2000; 147(6): 309-314.
14. Huang Y, Lisboa PJG, El-Deredy W. Tumour grading from magnetic resonance spectroscopy: a comparison of feature extraction with variable selection. Stat. Med. 2003; 22(1): 147-164.
15. Menze BH, Lichy MP, Bachert P, Kelm BM, Schlemmer HP, Hamprecht FA. Optimal classification of long echo time invivo magnetic resonance spectra in the detection of recurrent brain tumors. NMR Biomed. 2006; 19(5): 599-609.
16. Simonetti AW, Melssen WJ, Edelenyi FS, Asten JJA, Heerschap A, Buydens LMC. Combination of feature-reduced MR spectroscopic and MR imaging data for improved brain tumor classification. NMR Biomed. 2005; 18(1): 34-43.
17. Ma J, Sun Z. MRS classification based on independent component analysis and support vector machines. Proceedings of the 5th International Conference on Hybrid Intelligent Systems, Rio de Janeiro, Brazil 2005; 509-511.
18. 1H MR spectra. Magn. Reson. Med. 2008; 60(2): 288-298.
19. 1H magnetic resonance spectra. NMR Biomed. 2009; 22(8): 809-818.
20. Cancino-De-Greiff HF, Ramos-Garcia R, Lorenzo-Ginori JV. Signal de-noising in magnetic resonance spectroscopy using wavelet transforms. Concepts Magn. Reson. 2002; 14(6): 388-401.
21. Mitianoudis N, Davies ME. Audio source separation of convolutive mixtures. IEEE Trans. Speech Audio Process. 2003; 11(5): 489-497.
22. Hyvärinen A, Karhunen J, Oja E. Independent Component Analysis. Wiley: Chichester; 2001.
23. Jolliffe IT. Principal Component Analysis. Springer: New York; 2002.
24. Reynolds G, Wilson M, Peet A, Arvanitis TN. An algorithm for the automated quantitation of metabolites in invitro NMR signals. Magn. Reson. Med. 2006; 56(6): 1211-1219.
25. 1H MR spectroscopy of brain tumours and masses. NMR Biomed. 2003; 16(3): 123-131.
26. Govindaraju V, Young K, Maudsley AA. Proton NMR chemical shifts and coupling constants for brain metabolites. NMR Biomed. 2000; 13(3): 129-153.
27. Davies NP, Wilson M, Harris LM, Natarajan K, Lateef S, Macpherson L, Sgouros S, Grundy RG, Arvanitis TN, Peet AC. Identification and characterisation of childhood cerebellar tumours by invivo proton MRS. NMR Biomed. 2008; 21(8): 908-918.
28. Johnson RW. An introduction to the bootstrap. Teach. Stat. 2001; 23(2): 49-54.
29. Efron B, Tibshirani R. An Introduction to the Bootstrap. Chapman & Hall: New York; 1993.
30. Panigrahy A, Krieger MD, Gonzalez-Gomez I, Liu X, McComb JG, Finlay JL, Nelson MD, Gilles FH, Bluml S. Quantitative short echo time H-1-MR spectroscopy of untreated pediatric brain tumors: preoperative diagnosis and characterization. Am. J. Neuroradiol. 2006; 27(3): 560-572.