Quantifying in vivo MR spectra with circles

Journal of Magnetic Resonance

Volumn 179, Issue 1, 2006, Pages 152-163

  Gabr, Refaat E ^a,b   Ouwerkerk, Ronald ^a,b   Bottomley, Paul A ^a,b  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Johns Hopkins University   (United States)

Author keywords

Active circle models; Frequency domain quantification; Magnetic resonance spectroscopy; Prior knowledge; Spectral analysis

Indexed keywords

CONSTRAINT THEORY; DATA ACQUISITION; FREQUENCY DOMAIN ANALYSIS; MEDICINE; SIGNAL TO NOISE RATIO; SPECTRUM ANALYSIS;

ACTIVE CIRCLE MODELS; FREQUENCY DOMAIN QUANTIFICATION; PRIOR KNOWLEDGE;

MAGNETIC RESONANCE SPECTROSCOPY;

PHOSPHORUS;

ARTICLE; ARTIFACT; BRAIN MAPPING; HUMAN; IMAGE QUALITY; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; SIGNAL PROCESSING;

ARTIFACTS; BRAIN MAPPING; HUMANS; MAGNETIC RESONANCE SPECTROSCOPY; PHANTOMS, IMAGING; PHOSPHORUS ISOTOPES; SIGNAL PROCESSING, COMPUTER-ASSISTED;

SERPENTES;

EID: 33645872721     PISSN: 10907807     EISSN: 10960856     Source Type: Journal    
DOI: 10.1016/j.jmr.2005.11.004     Document Type: Article

References (33)

1. Vanhamme L., Sundin T., Hecke P.V., and Huffel S.V. MR spectroscopy quantitation: a review of time-domain methods. NMR Biomed. 14 4 (2001) 233-246
2. van der Veen J.W.C., de Beer R., Luyten P.R., and van Ormondt D. Accurate quantification of in vivo 31P NMR signals using the variable projection method and prior knowledge. Magn. Reson. Med. 6 1 (1988) 92-98
3. Vanhamme L., Van Huffel S., Van Hecke P., and van Ormondt D. Time domain quantification of series of biomedical magnetic resonance spectroscopy signals. J. Magn. Reson. 140 1 (1999) 120-130
4. DiGennaro F.S., and Cowburn D. Parametric estimation of time-domain NMR signals using simulated annealing. J. Magn. Reson. 96 (1992) 582-588
5. Metzger G.J., Patel M., and Hu X. Application of genetic algorithms to spectral quantification. J. Magn. Reson. B. 110 3 (1996) 316-320
6. Vanhamme L., van den Boogaart A., and Van Huffel S. Improved method for accurate and efficient quantification of MRS data with use of prior knowledge. J. Magn. Reson. 129 1 (1997) 35-43
7. van den Boogart A. Quantitative data analysis of in vivo MRS data sets. Magn. Reson. Chem. 35 (1997) S146-S152
8. Laudadio T., Selen Y., Vanhamme L., Stoica P., Van Hecke P., and Van Huffel S. Subspace-based MRS data quantitation of multiplets using prior knowledge. J. Magn. Reson. 168 1 (2004) 53-65
9. Sandgren N., Selén Y., Stoica P., and Li J. Parametric methods for frequency-selective MR spectroscopy-a review. J. Magn. Reson. 168 2 (2004) 259-272
10. Knijn A., de Beer R., and van Ormondt D. Frequency-selective quantification in the time domain. J. Magn. Reson. 97 (1992) 444-450
11. Vanhamme L., Sundin T., Van Hecke P., Van Huffel S., and Pintelon R. Frequency-selective quantification of biomedical magnetic resonance spectroscopy data. J. Magn. Reson. 143 1 (2000) 1-16
12. Romano R., Motta A., Camassa S., Pagano C., Santini M.T., and Indovina P.L. A new time-domain frequency-selective quantification algorithm. J. Magn. Reson. 155 2 (2002) 226-235
13. Mierisova S., and Ala-Korpela M. MR spectroscopy quantitation: a review of frequency domain methods. NMR Biomed. 14 4 (2001) 247-259
14. Martin Y.-L. A global approach to accurate and automatic quantitative analysis of NMR spectra by complex least-squares curve fitting. J. Magn. Reson. A. 111 (1994) 1-10
15. Allman T., Holland G.A., Lenkinski R.E., and Charles H.C. A simple method for processing NMR spectra in which acquisition is delayed: applications to in vivo localized 31P NMR spectra acquired using the DRESS technique. Magn. Reson. Med. 7 1 (1988) 88-94
16. Golotvin S., and Williams A. Improved baseline recognition and modeling of FT NMR spectra. J. Magn. Reson. 146 1 (2000) 122-125
17. Soher B.J., and Maudsley A.A. Evaluation of variable lineshape models and prior information in automated 1H spectroscopic imaging analysis. Magn. Reson. Med. 52 6 (2004) 1246-1254
18. Stoch G., and Olejniczak Z. Missing first points and phase artifact mutually entangled in FT NMR data-noniterative solution. J. Magn. Reson. 173 1 (2005) 140-152
19. Bottomley P.A., Atalar E., and Weiss R.G. Human cardiac high-energy phosphate metabolite concentrations by 1D-resolved NMR spectroscopy. Magn. Reson. Med. 35 5 (1996) 664-670
20. Bottomley P.A., Weiss R.G., Hardy C.J., and Baumgartner W.A. Myocardial high-energy phosphate metabolism and allograft rejection in patients with heart transplants. Radiology 181 (1991) 67-75
21. Provencher S.W. Estimation of metabolite concentrations from localized in vivo proton NMR spectra. Magn. Reson. Med. 30 6 (1993) 672-679
22. Provencher S.W. Automatic quantitation of localized in vivo 1H spectra with LCModel. NMR Biomed. 14 4 (2001) 260-264
23. Serrai H., Senhadji L., de Certaines J.D., and Coatrieux J.L. Time-domain quantification of amplitude, chemical shift, apparent relaxation time T2, and phase by wavelet-transform analysis. application to biomedical magnetic resonance spectroscopy. J. Magn. Reson. 124 1 (1997) 20-34
24. Kass M., Witkin A., and Terzopoulos D. Snakes: active contour models. Intl J. Comput. Vision. 2 3 (1988) 321-331
25. Soher B.J., van Zijl P.C.M., Duyn J.H., and Barker P.B. Quantitative proton spectroscopic imaging of the human brain. Magn. Reson. Med. 35 3 (1996) 356-363
26. D. Bonekamp, P.B. Barker, MR spectroscopic imaging software for the neuroradiologist, in ASNR, 43rd Annual Meeting, Toronto, CA, 2005.
27. in't Zandt H., van Der Graaf M., and Heerschap A. Common processing of in vivo MR spectra. NMR Biomed. 14 4 (2001) 224-232
28. Cavassila S., Deval S., Huegen C., van Ormondt D., and Graveron-Demilly D. Cramer-Rao bound expressions for parametric estimation of overlapping peaks: influence of prior knowledge. J. Magn. Reson. 143 2 (2000) 311-320
29. Weiss R.G., Gerstenblith G., and Bottomley P.A. ATP flux through creatine kinase in the normal, stressed, and failing human heart. Proc. Natl. Acad. Sci. USA 102 3 (2005) 808-813
30. Smith C., Bottomley P.A., Gerstenblith G., Schulman S.P., and Weiss R.G. Reduced ATP synthesis through creatine kinase in failing and non-failing hypertrophied human myocardium. Circulation 110 III-610 (2004)
31. T.F. Cootes, C.J. Taylor, Active shape models-'smart snakes,' Proc. British Machine Vision Conference. Springer-Verlag, (1992) 266-275.
32. Lakshmanan S., and Grimmer D. A deformable template approach to detecting straight edges in radar images. IEEE Trans. Pattern Anal. Mach. Intell. 18 4 (1996) 438-443
33. Staib L.H., and Duncan J.S. Boundary finding with parametrically deformable models. IEEE Trans. Pattern Anal. Mach. Intell. 14 11 (1992) 1061-1075