Algorithm:DataRT
This describes the pilot data set provided by the RT DBP (Greg Sharp, MGH).
The data set contains 16 patients. All patients have the initial CT scan with relevant structures outlined. Six patients also have a follow up (post-treatment) scan with no segmentations.
All scan slices are 512x512; the number of slices varies a bit (112-118). The voxel size is between .48x.48x2.5mm^3 and 1.13x1.13x2.5mm^3, most of them are around .9mm in plane.
The segmentation availability (which stuructures are segmented) varies across patients as it depends on the tumor location. The total of 65 structures are present in these scans. The table below shows which structures (65 rows) are available for wich patients (16 columns):
1 2 3 4 5 6 76 77 79 80 84 88 90 91 95 97 1 1 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 2 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 3 1 1 1 1 1 1 0 0 0 0 1 0 0 0 0 0 4 0 1 0 1 1 0 1 0 1 0 1 1 1 1 1 0 5 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 6 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 9 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 10 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 14 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 15 1 0 1 0 0 0 0 0 0 0 1 1 0 0 0 1 16 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 17 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 18 1 1 1 1 1 1 0 0 0 1 0 0 0 0 0 0 19 0 1 0 1 0 0 1 1 1 0 1 1 1 1 1 1 20 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 1 1 1 1 1 1 0 0 0 0 1 0 0 0 0 0 22 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 23 1 1 1 1 1 1 0 0 0 1 1 0 0 0 0 0 24 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 25 1 1 1 1 1 1 0 0 0 0 1 0 0 0 0 0 26 1 1 1 1 1 1 0 0 0 1 1 0 0 0 0 0 27 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 28 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 29 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 30 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 31 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 32 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 33 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 34 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 35 0 0 0 1 1 0 1 0 1 1 1 1 1 1 1 1 36 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 37 0 1 0 1 0 0 1 1 1 1 1 0 1 1 1 1 38 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 39 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 40 0 0 0 0 0 0 1 0 1 0 1 1 0 0 1 1 41 0 1 0 0 0 0 1 0 1 0 1 1 0 0 1 1 42 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 43 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 44 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 45 0 1 0 0 0 0 1 0 0 0 1 1 0 0 1 1 46 0 1 0 0 0 0 1 1 1 0 1 0 1 1 1 1 47 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 48 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 49 0 1 0 0 0 0 1 1 1 0 1 1 1 1 1 1 50 1 0 1 1 1 1 0 0 1 0 1 1 1 1 0 1 51 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 52 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 53 0 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 54 0 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 55 0 0 0 1 1 1 0 0 0 0 0 0 0 1 1 0 56 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 57 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 58 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 59 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 60 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 61 1 0 1 1 1 1 1 0 0 0 1 0 0 1 1 1 62 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 63 0 0 1 1 0 0 0 1 0 0 1 0 1 1 1 0 64 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
The list below contains the names of the segmentation files in the data set, which also encode the structure index and name (so some of them appear several times with slightly different names):
1 _airway.mha
2 _BRAINSTEM.BF.mha
_brainstem .mha _brainstem.mha
3 _CHIASM.BF.mha
_chiasm.mha
4 _ESOPHAG.BF.mha
_ESOPHAGUS.BF.mha _esophagus .mha _esophagus.mha
5 _HYPOTHAL.BF.mha
6 _L FRTL LOBE.BF.mha
7 _R FRTL LOBE.BF.mha
8 _L SUBMAN GL.BF.mha
_l_submandib .mha
9 _R SUBMAN GL.BF.mha
_r_submandib .mha _r_submandibular .mha
10_L neck.mha
_l_neck_ln .mha _l_lower_neck.mha
11_upperneck.mha
12_l_upper_neck.mha
_neck_leftup .mha _lu_neck_ln.mha
13_neck_leftlow.mha
14_R neck.mha
15_r_upper_neck.mha
_neck_rt_up.mha _ru_neck_ln.mha _ru_neck_ln_i_ii .mha
16_neck_rt_low .mha
_rl_neck_ln.mha
17_LT COCHLEA.BF.mha
_left_cochlea.mha _ltcochlea_AH.mha
18_RT COCHLEA.BF.mha
_right_cochlea .mha _rtcochlea_AH.mha
19_LARYNX.BF.mha
_larynx.mha
20_heart.mha
21_LT LENS.mha
_left_eye_lens .mha
22_left_eye_ball .mha
23_RT LENS.mha
_right_eye_lens.mha
24_right_eye_ball.mha
25_LT OPT NRV.BF.mha
_left_opt_nerve.mha
26_RT OPT NRV.BF.mha
_right_opt_nerve .mha
27_LT PAROTID.BF.mha
_l_parotid .mha _left_parotid.mha _parotid-left.mha _parotid_left.mha
28_RT PAROTID.BF.mha
_parotid-right .mha _parotid_right .mha _r_parotid .mha _right_parotid .mha _right_parotid.mha
29_LT RETINA.BF.mha
30_RT RETINA.BF.mha
31_LT. GLOBE.mha
32_RT. GLOBE.mha
33_LT. MASTOID.mha
34_RT. MASTOID.mha
35_MANDIBLE.BF.mha
_mandible.mha
36_ODONTOID.mha
37_ORAL CAVITY.BF.mha
_oral_cav_oro.mha _oral_cavity .mha _oral_cavity.mha
38_PITUIT.BF.mha
39_SPINAL CORD.BF.mha
_spcord_AH.mha _spinal_cord .mha _cord.mha
40_left_lung .mha
_left_lung.mha
41_right_lung.mha
42_lt bonycanthus.mha
43_rt bonycanthus.mha
44_skin.mha
45_thyroid .mha
_thyroid.mha
46_trachea .mha
_trachea.mha
47_LT LAC GLD.BF.mha
48_RT LAC GLD.BF.mha
49_const_esoph .mha
_constrictors.mha _eos_cons.mha
48_oropharynx.mha
50_CTV primary.mha
_ctv_primX.mha _ctv_primary.mha _ctv_primary .mha _ctv_prim.mha _ac_ctv_primary.mha
51_ctv1_hr_iii_iv_v.mha
_ctv2_lr_ii.mha
52_ctv_l_neck.mha
_ctvLT_lnkX.mha _ctvLTnkX.mha
53_ctv_ll_neck .mha
_ctv_ll_neck.mha
54_ctv_lu_neck .mha
_ctv_lu_neck.mha
55_ctv_r_neck.mha
_ctvRT_lnkX.mha _ctvRTnkX.mha
56_ctv_rl_neck_ln.mha
_ct_rl_neck.mha
57_ctv_ru_neck .mha
_ctv_ru_neck_ln.mha
58_ctv_nose.mha
59_ctv_med_ln.mha
60_combCTVnds.mha
_combCTVnodes.mha
61_GTV primary.mha
_gtv_primary .mha _gtv_primary.mha _gtv_primx.mha _gtv .mha
62_gtv_med_ln.mha
63_GTV node.mha
_gtv_node.mha
64_gtv_rul.mha
65_gtv_nose.mha
