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Bimonthly Meeting on Jan. 23, 2009

Chemical Information on Phantom by Gaussian Function. Amarjeet Bhullar. Bimonthly Meeting on Jan. 23, 2009. 7*7=49 Voxels. Cho=3097.32. NAA=4818.51. Cre=3726.94. 15*15=225 Voxels. Cho=8497.17. NAA=13166.20. Cre=10162.30. 7*7=49 Voxels and 15*15=225 Voxels.

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Bimonthly Meeting on Jan. 23, 2009

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  1. Chemical Information on Phantom by Gaussian Function Amarjeet Bhullar Bimonthly Meeting on Jan. 23, 2009

  2. 7*7=49 Voxels Cho=3097.32 NAA=4818.51 Cre=3726.94

  3. 15*15=225 Voxels Cho=8497.17 NAA=13166.20 Cre=10162.30

  4. 7*7=49 Voxels and 15*15=225 Voxels

  5. Comparison between 7*7 and 15*15 Spectra

  6. Metabolite peaks fit by Gaussian function

  7. Calculation of Metabolite Concentrations Cho=26.4059 NAA=50.3961 Cre=38.3233

  8. Calculation of Metabolite Concentrations Cho=30.047 NAA=51.899 Cre=45.8772

  9. Calculation of Metabolite Concentrations Cho=27.7975 NAA=50.4718 Cre=39.7157

  10. Calculation of Metabolite Concentrations Cho=34.0246 NAA=60.5868 Cre=49.0628

  11. Calculation of Metabolite Concentrations Cho=123.506 NAA=220.372 Cre=174.144

  12. Calculation of Metabolite Concentrations Cho=67.1154 NAA=93.7448 Cre=74.2094

  13. Voxel Comparison

  14. Conclusion: Even difference of smallest fraction between voxel size (7*7 and 15*15) creates different metabolite concentrations. Suggestions are welcome

  15. Row Wise Distribution of Cho/Cre

  16. Row Wise Distribution of Cho/NAA

  17. Metabolite Ratios by Gaussian function

  18. Metabolite Ratios by Gaussian function

  19. Metabolite Ratios by Gaussian function

  20. Metabolite Ratios by Gaussian function

  21. Metabolite Ratios by Gaussian function

  22. Metabolite Ratios by Gaussian function

  23. Metabolite Ratios by Gaussian function

  24. Metabolite Ratios by Gaussian function

  25. Metabolite Ratios by Gaussian function

  26. Metabolite Ratios by Gaussian function

  27. Metabolite Ratios by Gaussian function

  28. Metabolite Ratios by Gaussian function

  29. Metabolite Ratios by Gaussian function

  30. Conclusion: All the data reveals that the Gaussian Function is the best fit for Magnetic Resonance Spectroscopy. Suggestions are welcome

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