SPM'95 introduction to Eigenimage Analysis

Brian Murphy

State University of New York at Buffalo Center for Positron Emission Tomography


Note, although some of the slides have text and notes associated with them, viewing the text only version of this presentation will not be adequate. In particular, graphics and equations presented on the slides are omitted from the text version by the automated software which generates these pages from the Microsoft PowerPoint 7.0 slide presentation.

Although you're free to start on any slide below and return to this page in order to move to another, it is recommended that you begin with the 1st slide and then navigate to subsequent slides via the arrow navigation buttons presented beneath the graphical slide pages.

Return to Technical Slides home page.

Slides:

  1. SPM'95 introduction to Eigenimage Analysis

  2. Disclaimer

  3. Motivation

  4. Overview

  5. Eigenimages Singular Value Decomposition (SVD)

  6. Eigenimages Singular Value Decomposition (SVD)

  7. Eigenimages Generation steps

  8. Eigenimages Singular Value Decomposition (SVD)

  9. Eigenimages Singular Value Decomposition (SVD)

  10. Eigenimages Singular Value Decomposition (SVD)

  11. Eigenimages Singular Value Decomposition (SVD)

  12. Eigenimages Interpretation

  13. Eigenimages Interpretation

  14. Eigenimages Interpretation

  15. Eigenimages Interpretation

  16. Eigenimages Interpretation

  17. Eigenimages Interpretation

  18. Eigenimages Interpretation

  19. Eigenimages Interpretation

  20. Eigenimages Interpretation

  21. Eigenimages Interpretation

  22. Eigenimages Interpretation

  23. Eigenimages Example 1

  24. Eigenimages Interpretation

  25. Eigenimages Interpretation

  26. Eigenimages Contributions from each eigenimage

  27. Eigenimages Interpretation

  28. Eigenimages Example 1

  29. Eigenimages Example 1 (1st eigenimage component)

  30. Eigenimages Example 1 (2nd eigenimage component)

  31. Eigenimages Example 1 (sum of eigenvector contributions)

  32. Eigenimages Example 1

  33. Eigenimages Example 2

  34. Eigenimages Example 2

  35. Eigenimages Example 2

  36. Eigenimages Example 2

  37. Eigenimages Example 1 & 2

  38. Eigenimages Example 3

  39. Eigenimages Example 3 (each spatial mode contributes to each scan)

  40. Eigenimages Example 3

  41. Eigenimages Example 3

  42. Eigenimages Example 4

  43. Eigenimages Example 4

  44. Eigenimages Example 4

  45. Eigenimages Example 4

  46. Eigenimages Example 3_

  47. Eigenimages Example 5

  48. Eigenimages Example 5

  49. Eigenimages Example 5

  50. Eigenimages Example 5

  51. Eigenimages Example 6

  52. Eigenimages Example 6

  53. Eigenimages Example 6

  54. Eigenimages Example 6

  55. Eigenimages Example 6

  56. Eigenimages Example 7

  57. Eigenimages Example 7

  58. Eigenimages Example 7

  59. Eigenimages Example 7

  60. Eigenimages Example 7

  61. Eigenimages Example 7

  62. Eigenimages Interpretation

  63. Motivation revisited

  64. Eigenimages Interpretation

  65. Eigenimages Interpretation

  66. Eigenimages Interpretation notes

  67. Eigenimages Interpretation

  68. Eigenimages Interpretation

  69. Eigenimages Interpretation notes

  70. Eigenimages Interpretation

  71. Uniqueness of SVD

  72. Uniqueness of Eigenimages: Basis Vector Rotations (beyond SPM'95)

  73. Basis vectors and their (lack of) uniqueness

  74. Uniqueness of Eigenimages: Basis Vector Rotations (beyond SPM'95)

  75. Example Eigenimages:

  76. Additional SPM information sources