2 * MAP EM ALGORITHM FOR EMISSION TOMOGRAPHY. RECONSTRUCTION OF BRAIN
3 * PHANTOM. SIMULATING PET GEOMETRY WITH A RING OF 300 DETECTORS WITH
4 * EACH DETECTOR IN COINCIDENCE WITH 101 DETECTORS OPPOSITE IT.
5 * COEFFICIENT OF PENALTLY TERM IS SET TO 10.0
8 EXAMPLE 7 Brain Phantom
9 SPECTRUM MONOCHROMATIC 511
11 1 elip -7.0 46.0 3.0 6.0 17.0 0.95 1.0
12 2 elip 7.0 46.0 3.0 6.0 -17.0 1.0 0.95
13 3 rect -12.0 64.0 7.5 4.5 5.0 1.0 1.0
14 4 rect 12.0 64.0 7.5 4.5 -5.0 0.95 0.95
15 5 rect -38.0 51.0 3.5 13.0 -39.0 0.95 1.0
16 6 rect 38.0 51.0 3.5 13.0 39.0 1.0 0.95
17 7 rect -46.0 24.0 6.5 6.0 -18.0 0.95 1.0
18 8 rect 46.0 24.0 6.5 6.0 18.0 1.0 0.95
19 9 rect -49.0 6.0 2.5 10.0 63.0 1.0 1.0
20 10 rect 49.0 6.0 2.5 10.0 -63.0 0.95 0.95
21 11 rect -52.0 -14.0 9.0 7.0 -14.0 0.95 1.0
22 12 rect 52.0 -14.0 9.0 7.0 14.0 1.0 0.95
23 13 rect -10.0 -56.0 5.5 10.0 -1.0 0.95 1.0
24 14 rect 10.0 -56.0 5.5 10.0 1.0 1.0 0.95
25 15 elip -40.0 -47.0 9.0 22.5 48.0 1.0 1.0
26 16 elip 40.0 -47.0 9.0 22.5 -48.0 0.95 0.95
27 17 elip -8.0 -22.0 3.5 15.5 -9.0 1.0 1.0
28 18 elip 8.0 -22.0 3.5 15.5 9.0 0.95 0.95
29 19 elip -27.0 -6.0 5.5 23.5 -5.0 0.95 1.0
30 20 elip 27.0 -6.0 5.5 23.5 5.0 1.0 0.95
31 21 elip -25.0 38.0 6.5 10.5 -14.0 1.0 1.0
32 22 elip 25.0 38.0 6.5 10.5 14.0 0.95 0.95
33 23 rect -8.0 32.0 1.5 6.5 38.0 1.0 1.0
34 24 rect 8.0 32.0 1.5 6.5 -38.0 0.95 0.95
35 25 rect -8.0 3.0 1.0 9.0 -33.0 0.95 1.0
36 26 rect 8.0 3.0 1.0 9.0 33.0 1.0 0.95
37 27 elip 0.0 0.0 66.5 74.0 0.0 1.0 1.0
45 RAYS USER 101 DETECTOR SPACING 3.2
46 ANGLES 300 EQUAL SPACING
49 QUANTUM 1.0 1.0 CALIBRATION 4
61 Example 7 Illustrating the MAP EM algorithm for PET