Automated tissue segmentation and blind recovery of 1H MRS imaging spectral patterns of normal and diseased human brain

NMR in Biomedicine

Volumn 21, Issue 1, 2008, Pages 33-41

  Du, Shuyan ^a   Mao, Xiangling ^b   Sajda, Paul ^a   Shungu, Dikoma C ^b  

^a Department of Earth and Environmental Sciences   (United States)

^b WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

Human brain; Iterative data selection; Magnetic resonance spectroscopic imaging (MRSI); Neurological disorders; Non negative matrix factorization (NMF); Tissue segmentation

Indexed keywords

BRAIN; FACTORIZATION; IMAGE SEGMENTATION; MATRIX ALGEBRA; METABOLITES; TISSUE;

CONSTRAINED NON-NEGATIVE MATRIX FACTORIZATION; ITERATIVE DATA SELECTION; NEUROLOGICAL DISORDERS;

MAGNETIC RESONANCE IMAGING;

LIPID; WATER;

ARTICLE; ARTIFACT REDUCTION; AUTOANALYSIS; BRAIN DISEASE; BRAIN REGION; BRAIN TUMOR; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; DIAGNOSTIC VALUE; HUMAN; IN VIVO STUDY; MULTIPLE SCLEROSIS; NEUROANATOMY; NEUROIMAGING; NEUROLOGIC DISEASE; OLIGODENDROGLIOMA; PRIORITY JOURNAL; PROTON NUCLEAR MAGNETIC RESONANCE; SPECTRAL SENSITIVITY; TISSUE SPECIFICITY;

BRAIN; BRAIN DISEASES; BRAIN NEOPLASMS; HUMANS; MAGNETIC RESONANCE IMAGING; MULTIPLE SCLEROSIS;

EID: 38949159991     PISSN: 09523480     EISSN: 10991492     Source Type: Journal    
DOI: 10.1002/nbm.1151     Document Type: Article

References (27)

1. Bottomley PA. Spatial localization in NMR spectroscopy in vivo. Ann. NY Acad. Sci. 1987; 508: 333-348.
2. Frahm J, Bruhn H, Gyngell ML, Merboldt KD, Hänicke W, Sauter R. Localized high resolution proton NMR spectroscopy using stimulated echoes: initial applications to human brain in vivo. Magn. Reson. Med. 1989; 9: 79-93.
3. Brown TR, Kincaid BM, Ugurbil K. NMR chemical shift imaging in three dimensions. Proc. Natl. Acad. Sci. USA. 1982; 79: 3523-3526.
4. Maudsley AA, Hilal SK, Perman WH, Simon HE. Spatially resolved high resolution spectroscopy by four-dimensional NMR. J. Magn. Reson. 1983; 51: 147-152.
5. Rudkin TM, Arnold DL. Proton magnetic resonance spectroscopy for the diagnosis and management of cerebral disorders. Arch. Neurol. 1999; 56: 919-926.
6. Burtscher IM, Holtås S. Proton, MR spectroscopy in clinical routine. J. Magn. Reson. Imaging. 2001; 13: 560-567.
7. Mierisova S, Ala-Korpela M. MR spectroscopy quantitation: a review of frequency domain methods. NMR Biomed. 2001; 14: 247-259.
8. Vanhamme L, Sundin T, Hecke PV, Huffel SV. MR spectroscopy quantitation: a review of time-domain methods. NMR Biomed. 2001; 14: 233-246.
9. Sajda P, Du S, Brown TR, Parra LC, Stoyanova R. Recovery of constituent spectra in 3D chemical shift imaging using non-negative matrix factorization. In Proc. 4th Int. Symp. ICA and BSS. 2003; 71-76.
10. Sajda P, Du S, Brown TR, Stoyanova R, Shungu DC, Mao X, Parra LC. Non-negative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain. IEEE Trans. Med. Imag. 2004; 23: 1453-1465.
11. Hyvärinen A, Karhunen J, Oja E. Independent component analysis. Wiley-Interscience: New York, 2001.
12. Cardoso JF. Blind signal separation: statistical principles. In Proc. IEEE, Special Issue on Blind Identification and Estimation 1998; 9: 2009-2025.
13. Ochs MF, Stoyanova RS, Arias-Mendoza F, Brown TR. A new method for spectral decomposition using a bilinear Bayesian approach. J. Magn. Reson. 1999; 137: 161-176.
14. Ladroue C, Howe FA, Griffiths JR, Tate AR. Independent component analysis for automated decomposition of in vivo magnetic resonance spectra. Magn. Reson. Med. 2003; 50: 697-703.
15. Lee DD, Seung HS. Learning the parts of objects by non-negative matrix factorization. Nature 1999; 401: 788-791.
16. Lee DD, Seung HS. Algorithms for non-negative matrix factorization. Adv. Neural Info. Proc. Syst. 2001; 13: 556-562.
17. Hoyer PO. Non-negative sparse coding. Neural Networks for Signal Processing XII. Proc. IEEE workshop on Neural Networks for Signal Processing. Martigny: Switzerland 2002; 557-565.
18. Duyn JH, Gillen J, Sobering G, van Zijl PCM, Moonen CT. Multisection, MR spectroscopic imaging of the brain. Radiology 1993; 188: 277-282.
19. 1H spectroscopic imaging of human brain at 4.1 T using image segmentation. Magn. Reson. Med. 1996; 36: 21-29.
20. Wallace CJ, Seland TP, Fong TC. Multiple sclerosis: the impact of MR imaging. AJR Am. J. Roentgenol. 1992; 158: 849-857.
21. Miller DH, Grossman RI, Reingold SC, McFarland HF. The role of magnetic resonance techniques in understanding and managing multiple sclerosis. Brain 1998; 121: 3-24.
22. Pan JW, Coyle PK, Bashir K, Whitaker JN, Krupp LB, Hetherington HP. Metabolic differences between multiple sclerosis subtypes measured by quantitative MR spectroscopy. Multiple Sclerosis 2002; 8: 200-206.
23. 1H magnetic resonance spectroscopy in defining the pathophysiology of multiple sclerosis. Ital. J. Neurol. Sci. 1999; 20: S241-S245.
24. 1H MRSI. NMR Biomed. 1999; 12: 123-138.
25. 1H magnetic resonance spectroscopic imaging assessment of glioma response to chemotherapy. J. Neuro-Oncology. 2005; 76: 185-191.
26. Edelenyi FSD, Rubin C, Esteve F, Grand S, Decorps M, Lefournier V, Bas JFL, Remy C. A new approach for analyzing proton magnetic resonance spectroscopic images of brain tumors: nosologic images. Nature Med. 2000; 6: 1287-1289.
27. Du S, Sajda P, Stoyanova R, Brown TR. Recovery of metabolomic spectral sources using non-negative matrix factorization. Proc. 27th Annual Int. Conf. EMBC. 2005; 2: 1095-1098.