1 00:00:09,500 --> 00:00:13,780 Now, let's take a look at a full example of a case. 2 00:00:13,780 --> 00:00:17,160 This is a head and neck example, and the CT scans 3 00:00:17,160 --> 00:00:18,980 are shown on the right. 4 00:00:18,980 --> 00:00:25,280 There are a total of 132,878 voxels. 5 00:00:25,280 --> 00:00:32,680 The target, or tumor, has 9,777 voxels. 6 00:00:32,680 --> 00:00:34,680 There are five critical structures 7 00:00:34,680 --> 00:00:40,400 that we want to minimize the dose to-- the spinal cord, 8 00:00:40,400 --> 00:00:45,540 the brain, the brain stem, the parotid glands, 9 00:00:45,540 --> 00:00:48,350 and the mandible or jaw. 10 00:00:48,350 --> 00:00:51,130 We're using five beams, and each beam 11 00:00:51,130 --> 00:00:54,110 is composed of about 60 beamlets. 12 00:00:54,110 --> 00:00:58,990 In total, there are 328 beamlets. 13 00:00:58,990 --> 00:01:02,660 In this example, we want the dose to the whole tumor 14 00:01:02,660 --> 00:01:06,310 to be between 70 and 77 gray. 15 00:01:06,310 --> 00:01:10,400 The spinal cord dose should be no more than 45 gray, 16 00:01:10,400 --> 00:01:14,200 since significant damage to any voxel in the spinal cord 17 00:01:14,200 --> 00:01:17,100 will result in loss of function. 18 00:01:17,100 --> 00:01:21,240 The brain stem dose should be no more than 54 gray, 19 00:01:21,240 --> 00:01:25,150 and the mandible dose should be no more than 70 gray. 20 00:01:25,150 --> 00:01:30,160 The average parotid gland dose should be at most 26 gray. 21 00:01:30,160 --> 00:01:31,940 This constraint is a little different, 22 00:01:31,940 --> 00:01:34,960 since the parotid gland is a parallel structure. 23 00:01:34,960 --> 00:01:37,920 Significant damage to any one voxel 24 00:01:37,920 --> 00:01:42,729 does not jeopardize function of the entire organ. 25 00:01:42,729 --> 00:01:45,700 So what is our optimization problem now? 26 00:01:45,700 --> 00:01:50,080 Again, our decisions are the intensities of the beamlets. 27 00:01:50,080 --> 00:01:55,100 Our objective is to minimize the total dose to healthy tissue. 28 00:01:55,100 --> 00:01:58,259 Our constraints are limits on the tumor dose 29 00:01:58,259 --> 00:02:02,690 and upper bounds for the spinal cord, brain stem, and mandible. 30 00:02:02,690 --> 00:02:06,420 We also have a constraint to limit the average parotid dose 31 00:02:06,420 --> 00:02:08,470 to 26 gray. 32 00:02:08,470 --> 00:02:12,220 Lastly, all of our intensities, or decision variables, 33 00:02:12,220 --> 00:02:14,640 should be non-negative. 34 00:02:14,640 --> 00:02:17,329 We solved this optimization problem, 35 00:02:17,329 --> 00:02:19,800 and this plot shows the results. 36 00:02:19,800 --> 00:02:23,270 On the x-axis is the dose, in gray, and on 37 00:02:23,270 --> 00:02:26,010 the y-axis is the fraction of voxels 38 00:02:26,010 --> 00:02:29,070 that received that dose or higher. 39 00:02:29,070 --> 00:02:32,730 Each line corresponds to a different structure. 40 00:02:32,730 --> 00:02:37,079 We can see that for the tumor, which is shown as the red line, 41 00:02:37,079 --> 00:02:43,270 100% of the voxels get a dose of 70 gray, and 0% of the voxels 42 00:02:43,270 --> 00:02:46,460 get a dose of more than 77 gray. 43 00:02:46,460 --> 00:02:49,410 This is what our constraint specified. 44 00:02:49,410 --> 00:02:51,400 While none of the critical structures 45 00:02:51,400 --> 00:02:53,840 are getting very high doses, it looks 46 00:02:53,840 --> 00:02:56,710 like the mandible, which is shown as the blue line, 47 00:02:56,710 --> 00:03:00,420 is receiving the highest dose of the healthy organs. 48 00:03:00,420 --> 00:03:03,950 In the next video, we'll explore different solutions 49 00:03:03,950 --> 00:03:07,200 and the shadow prices of our constraints.