********EXAMPLE 7 * MAP EM ALGORITHM FOR EMISSION TOMOGRAPHY. RECONSTRUCTION OF BRAIN * PHANTOM. SIMULATING PET GEOMETRY WITH A RING OF 300 DETECTORS WITH * EACH DETECTOR IN COINCIDENCE WITH 101 DETECTORS OPPOSITE IT. * COEFFICIENT OF PENALTLY TERM IS SET TO 10.0 * CREATE EXAMPLE 7 Brain Phantom SPECTRUM MONOCHROMATIC 511 OBJECTS 1 elip -7.0 46.0 3.0 6.0 17.0 0.95 1.0 2 elip 7.0 46.0 3.0 6.0 -17.0 1.0 0.95 3 rect -12.0 64.0 7.5 4.5 5.0 1.0 1.0 4 rect 12.0 64.0 7.5 4.5 -5.0 0.95 0.95 5 rect -38.0 51.0 3.5 13.0 -39.0 0.95 1.0 6 rect 38.0 51.0 3.5 13.0 39.0 1.0 0.95 7 rect -46.0 24.0 6.5 6.0 -18.0 0.95 1.0 8 rect 46.0 24.0 6.5 6.0 18.0 1.0 0.95 9 rect -49.0 6.0 2.5 10.0 63.0 1.0 1.0 10 rect 49.0 6.0 2.5 10.0 -63.0 0.95 0.95 11 rect -52.0 -14.0 9.0 7.0 -14.0 0.95 1.0 12 rect 52.0 -14.0 9.0 7.0 14.0 1.0 0.95 13 rect -10.0 -56.0 5.5 10.0 -1.0 0.95 1.0 14 rect 10.0 -56.0 5.5 10.0 1.0 1.0 0.95 15 elip -40.0 -47.0 9.0 22.5 48.0 1.0 1.0 16 elip 40.0 -47.0 9.0 22.5 -48.0 0.95 0.95 17 elip -8.0 -22.0 3.5 15.5 -9.0 1.0 1.0 18 elip 8.0 -22.0 3.5 15.5 9.0 0.95 0.95 19 elip -27.0 -6.0 5.5 23.5 -5.0 0.95 1.0 20 elip 27.0 -6.0 5.5 23.5 5.0 1.0 0.95 21 elip -25.0 38.0 6.5 10.5 -14.0 1.0 1.0 22 elip 25.0 38.0 6.5 10.5 14.0 0.95 0.95 23 rect -8.0 32.0 1.5 6.5 38.0 1.0 1.0 24 rect 8.0 32.0 1.5 6.5 -38.0 0.95 0.95 25 rect -8.0 3.0 1.0 9.0 -33.0 0.95 1.0 26 rect 8.0 3.0 1.0 9.0 33.0 1.0 0.95 27 elip 0.0 0.0 66.5 74.0 0.0 1.0 1.0 LAST .51 1 0.05 PHANTOM AVERAGE 7 95 PIXELS OF SIZE 1.6 RAYSUM AVERAGE 1 1 GEOMETRY divergent arc 153 306 RAYS USER 101 DETECTOR SPACING 3.2 ANGLES 300 EQUAL SPACING 0.0 358.8 MEASUREMENT PERFECT BACKGROUND 0.0 RUN * PICTURE TEST * PROJECTION REAL * STOP ITERATION 20 * EXECUTE AVERAGE EMAP Example 7 Illustrating the MAP EM algorithm for PET gamma is 10.0 EVAL * END