Brain tumor evaluation and segmentation by in vivo proton spectroscopy and relaxometry

Magnetic Resonance Materials in Physics, Biology and Medicine

Volumn 18, Issue 6, 2005, Pages 316-331

  Martín Landrove, Miguel ^a,b   Mayobre, Finita ^a   Bautista, Igor ^b   Villalta, Raúl ^b  

^a Institut de Diagnstic per la Imatge (IDI)   (Spain)

^b FACULTAD DE CIENCIAS   (Venezuela)

Author keywords

Assessment; In vivo; Relaxation; Segmentation; Spectroscopy

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; BIOLOGICAL MONITORING; BRAIN DAMAGE; BRAIN EDEMA; BRAIN TUMOR; CLINICAL ARTICLE; CONTROLLED STUDY; HUMAN; IN VIVO STUDY; MEDICAL ASSESSMENT; NECROSIS; NON INVASIVE PROCEDURE; NUCLEAR MAGNETIC RESONANCE IMAGING; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; PROTON NUCLEAR MAGNETIC RESONANCE; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; RELAXOMETRY; SCHOOL CHILD; TISSUE TYPES; TUMOR LOCALIZATION;

BRAIN NEOPLASMS; HUMANS; MAGNETIC RESONANCE IMAGING; MAGNETIC RESONANCE SPECTROSCOPY; PROTONS; STEREOTAXIC TECHNIQUES;

EID: 31544462383     PISSN: 09685243     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10334-005-0020-0     Document Type: Article

References (47)

1. Danielsen ER, Ross B (1999) Magnetic resonance spectroscopy of neurological diseases. Marcel Decker, New York
2. Castillo M, Kwock L (1998) Proton MR spectroscopy of common brain tumors. Neuroimag Clin North Am 4:733-752
3. Howe FA, Barton SJ, Cudlip SA, Stubbs M, Saunders DE, Murphy M, Wilking P, Opstad KS et al (2003) Metabolic profiles of human brain tumors using quantitative in vivo 1H magnetic resonance spectroscopy. Magn Reson Med 49:223-232
4. Nelson SJ (2003) Multivoxel magnetic resonance spectroscopy of brain tumors. Mol Cancer Ther 2:497-507
5. Barton SJ, Howe FA, Tomlins AM, Cudlip SA, Nicholson JK, Bell BA, Griffiths JR (1999) Comparison of in vivo 1H MRS of human brain tumours with 1H HR-MAS spectroscopy of intact biopsy samples in vitro. Magma 8:121-128
6. Norfray JF, Tomita T, Byrd SE, Ross BD, Berger PA, Miller RS(1999) Clinical impact of MR spectroscopy when MR imaging is indeterminate for pediatric brain tumors. AJR Am J Roentgenol. 173:119-125
7. Vigneron DB, Dowling C, Day M et al (1997) Determination of metabolite levels in necrosis/astrogliosis and viable cancer in brain tumor masses using 3D H MR spectroscopy imaging. In: Proceedings 5th ISMRM, New York, p 1146
8. 1H MRSI. NMR Biomed 12:123-138
9. Negendank WG, Sauter R, Brown TR et al (1996) Proton Magnetic Resonance Spectroscopy in patients with glial tumor: a multicenter study. J Neurosurg 84:440-458
10. 1H MR spectroscopy in patients with metastatic brain tumors: a multicenter study. Magn Reson Med 33:818-826
11. Shimizu H, Kumabe T, Tominaga T, Kayama T, Hara K, Ono Y, Sato K, Arai N, Fujiwara S, Yoshimoto T (1996) Non-invasive evaluation of malignancy of brain tumors with proton MR spectroscopy. Am J Neuroradiol 17:737-747
12. Adamson AJ, Rand SD, Prost RW, Kim TA, Schultz C, Haughton VM (1998) Focal brain lesions: effect of single-voxel proton MR spectroscopic findings on treatment decisions, Radiology 209:73-78
13. Chee Z-H, Jones JP, Singh M(1993) Foundations of medical imaging. Wiley, New York
14. Watanabe T, Murase N, Staemmler M, Gersonde K (1992) Multiexponential proton relaxation processes of compartmentalized water in gels. Magn Reson Med 27:118-134
15. Kuhn W, Barth P, Denner P, Muller R, Characterization of elastomeric materials by NMR microscopy. Sol St NMR 6:295-308
16. 2 relaxation in Fricke agarose gels: implications for NMR dosimetry. Phys Med Biol 41:509-521
17. 2 relaxation analysis. Magn Reson Med 12:1099-1109
18. 2 relaxation in degenerating peripheral nerve. Magn Reson Med 35:207-213
19. Thomsen C (1996) Quantitative magnetic resonance methods for in vivo investigation of the human liver and spleen. Technical aspects and preliminary clinical results. Acta Radiol Suppl 401:1-34
20. Fellner F, Fellner C, Held P, Schmitt R (1997) Comparison of spin-echo MR pulse sequences for imaging of the brain. Am J Neuroradiol 18:1617-1625
21. 2*-weighted MR imaging. Radiology 211:791-798
22. 2*-weighted MR imaging of recurrent malignant gliomas treated with thalidomine and carboplatin. Am J Neuroradiol 21:881-890
23. Szabo de Edelenyi F. Rubin C, Esteve F, Grand S, Decorps M, Lefournier V, Le Bas J-F, Remy C (2000) A new approach for analyzing proton magnetic resonance spectroscopic images of brain tumors:nosologic images. Nat Med 6:1287-1289
24. Simonetti AW, Meissen WJ, van der Graff M, Postma GJ, Heerschap A, Buydens LMC (2003) A chemometric approach for brain tumor classification using magnetic resonance imaging and spectroscopy. Anal Chem 75:5352-5361
25. Simonetti AW, Meissen WJ, Szabo de Edelenyi F, van Asten JJA, Heerschap A, Buydens LMC (2005) Combination of feature-reduced MR spectroscopic and MR imaging data for improved brain tumor classification. NMR Biomed 18:34-43
26. Pokric M, Thacker N, Scott MLJ, Jackson A (2001) The importance of partial voluming in multi-dimensional medical image segmentation.In: W Niessen, M Viergever (eds) MICCAI 2001, LNCS 2208. Springer-Verlag, Berlin Heidelberg, Newyork
27. Shattuck DW, Sandor-Leahy SR, Schaper KA, Rottenberg DA, Leahy RM (2001) Magnetic resonance image tissue classification using a partial volume model. NeuroImage 13:856-876
28. Van Leemput K, Maes F, Vandermeulen D, Suetens P (2003) A unifying framework for partial volume segmentation of brain MR images. IEEE Trans Med Imaging 22:105-119
29. Provencher SW (1982) A constrained regularization method for inverting data represented by linear algebraic or integral equations. Comput Phys Commun 27:213-227
30. and Contin: A general purpose constrained regularization program for inverting noise linear and integral equations. Comput Phys Commun 27:229-242
31. Butler JP, Reeds JA, Dawson SV (1981) Estimating solutions of the first kind integral equations with nonnegativity constraints and optimal smoothing. SIAM J Numer Anal 18:381-397
32. Martín-Landrove M, Martín R, Benavides A (1995) Transversal relaxation rate distribution analysis in porous media, Proceedings of the international society of magnetic resonance XIIth meeting part I. Bull Magn Reson 17:73-78
33. Bonalde I, Martín-Landrove M, Benavides A, Martín R, Espidel J (1995) Nuclear magnetic resonance relaxation study of wettability of porous rocks at different magnetic fields. J Appl Phys 78:6033-6038
34. Martín R, Martín-Landrove M (1998) A novel algorithm for tumor characterization by analysis of transversal relaxation rate distributions in MRI.In: Spatially resolved magnetic resonance. Wiley-VCH, New York, Chap 11, pp 133-138
35. Bhanot G (1988) The metropolis algorithm. Rep Prog Phys 51:429-457
36. Kirkpatrick S, Gellatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220:671-680
37. Kirkpatrick S (1984) Optimization by simulated annealing: quantitative studies. J Stat Phys 34:975-986
38. Bonomi E, Lutton JL (1984) The N-city traveling salesman problem and the Metropolis algorithm. SIAM Rev 26:551-568
39. Scales JA, Gersztenkorn A (1988) Robust methods in inverse theory. Inverse Probl 4:1071-1091
40. Szu H, Hartley R (1987) Fast simulated annealing. Phys Lett A 122:157-162
41. Rutgers DR, van der Grond J (2002) Relaxation times of choline, creatine, and N-acetyl aspartate in human cerebral white matter at 1.5 T. NMR Biomed 15:215-221
42. 2 relaxation times of choline, creatine, and N-acetyl aspartate in human cerebral white matter at 1.5 T. NMR Biomed 16:286-288
43. Castillo M, Smith JK, Kwock L (2002) Correlation of Myo-inositol levels and grading of cerebral astrocytomas. Am J Neuroradiol 21:1621-1645
44. Opstad KS, Provencher SW, Bell BA, Griffiths JR, Howe FA (2003) Detection of elevated glutathione in meningiomas by quantitative in vivo 1H MRS. Magn Reson Med 49:632-637
45. Law M, Cha S, Knop EA, Johnson J, Litt A (2002) High-grade gliomas and solitary metastases: differentiation by using perfusion and proton spectroscopy MR imaging. Radiology 3:715-721
46. Tate AR, Griffiths JR, Martínez-Pérez I, Moreno A, Barba I, Cabañas ME, Watson D, Alonso J, Bartumeus F, Isamet F, Ferrer I, Vila F, Ferrer E, Capdevila A, Arús C (1998) Towards a method for automated classification of 1H MRS spectra from brain tumors. NMR Biomed 11:117-191
47. Vuori K, Kankaanranta L, Hakkinen AM, Gaily E, Valanne L, Granstron ML et al (2004) Low-grade gliomas and focal cortical developmental malformations: differentiation with proton MR spectroscopy. Radiology 230(3):703-708