[Insight-users] Problem with BSpline Registration with Mattes-MI
Serena Fabbri
fabbri at u.washington.edu
Tue Jul 7 13:05:47 EDT 2009
Hi All,
I am registering brain MRI and CT image with BSpline (Non Rigid Registration), Mattes MI and LBFGSB
optimization.
fixed=MRI (176,256,160); (1,1,1)mm; (0,0,0)mm
moving=CT (176,256,160); (1,1,1)mm; (0,0,0)mm
CT image is been previously Rigid registered to MRI
I have started with 6x6x6 grid (3x3x3 nodes on the fixed image), MI sample =20% statistics and the
registered image is pretty good.
In order to improve the result I have used a fine grid: 13x13x13 (10x10x10 nodes on the fixed
image), MI sample =20% statistics, and the result is:
in general the registration is good because some details are better overlapped, but the slices
containing the nose structures are distorted. In particular nasal septum is deviated in the left side and
the other bone appears too much smoothed.
I have read some previous e-mails (http://www.itk.org/pipermail/insight-users/2008-
December/028417.html) in archives and an Ibanez advice was to check if there are enough samples
for population every cell of the BSpline grid. I think that it is enough samples because i get the same
result with 50% samples.
I have tried to set different number of nodes in x and y direction. I have used 6x13x13 grid and 20%
sample too, and i get exactly the same registered image previous described (Below I put the Iteration-
MattesMI value ).
can anyone give me some advice?
maybe it is necessary to set different number of nodes in x and y direction.
Could it be a reasonable explanation?
any suggestion will be appreciate.
Thanks.
Serena.
Iter MattesMI
0 -0.350671
0 -0.351995
0 -0.357607
0 -0.377623
0 -0.402784
0 -0.402784
1 -0.435035
1 -0.435035
2 -0.430811
2 -0.466589
2 -0.466589
3 -0.491583
3 -0.491583
4 -0.499865
4 -0.499865
5 -0.53353
5 -0.53353
6 -0.533558
6 -0.543796
6 -0.543796
7 -0.559133
7 -0.559133
8 -0.567699
8 -0.567699
9 -0.577058
9 -0.577058
10 -0.586574
10 -0.586574
11 -0.59515
11 -0.59515
12 -0.600187
12 -0.600187
13 -0.608752
13 -0.608752
14 -0.614033
14 -0.614033
15 -0.619695
15 -0.619695
16 -0.623183
16 -0.623183
17 -0.627047
17 -0.627047
18 -0.630555
18 -0.630555
19 -0.634089
19 -0.634089
20 -0.638822
20 -0.638822
21 -0.642822
21 -0.642822
22 -0.648013
22 -0.648013
23 -0.651278
23 -0.651278
24 -0.65333
24 -0.65333
25 -0.656569
25 -0.656569
26 -0.659193
26 -0.659193
27 -0.661128
27 -0.661128
28 -0.663331
28 -0.663331
29 -0.66513
29 -0.66513
30 -0.666392
30 -0.666392
31 -0.667716
31 -0.667716
32 -0.668881
32 -0.668881
33 -0.669772
33 -0.669772
34 -0.671548
34 -0.671548
35 -0.672711
35 -0.672711
36 -0.674103
36 -0.674103
37 -0.674998
37 -0.674998
38 -0.676283
38 -0.676283
39 -0.677051
39 -0.677051
40 -0.678061
40 -0.678061
41 -0.678757
41 -0.678757
42 -0.67975
42 -0.67975
43 -0.680577
43 -0.680577
44 -0.681572
44 -0.681572
45 -0.682606
45 -0.682606
46 -0.683061
46 -0.683061
47 -0.683633
47 -0.683633
48 -0.684106
48 -0.684106
49 -0.684759
49 -0.684759
50 -0.685085
50 -0.685085
51 -0.685878
51 -0.685878
52 -0.686366
52 -0.686366
53 -0.686903
53 -0.686903
54 -0.687805
54 -0.687805
55 -0.688129
55 -0.688129
56 -0.688648
56 -0.688648
57 -0.689047
57 -0.689047
58 -0.689372
58 -0.689372
59 -0.690139
59 -0.690139
60 -0.690221
60 -0.690221
61 -0.690577
61 -0.690577
62 -0.69085
62 -0.69085
63 -0.691391
63 -0.691391
64 -0.691557
64 -0.691557
65 -0.691489
65 -0.691692
65 -0.691692
66 -0.691924
66 -0.691924
67 -0.692416
67 -0.692416
68 -0.692831
68 -0.692831
69 -0.692933
69 -0.692933
70 -0.693209
70 -0.693209
71 -0.693661
71 -0.693661
72 -0.69374
72 -0.69374
73 -0.694059
73 -0.694059
74 -0.694317
74 -0.694317
75 -0.694812
75 -0.694812
76 -0.694946
76 -0.694946
77 -0.695411
77 -0.695411
78 -0.695788
78 -0.695788
79 -0.695936
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80 -0.69627
80 -0.69627
81 -0.696409
81 -0.696409
82 -0.696002
82 -0.696418
82 -0.696418
83 -0.696533
83 -0.696533
84 -0.697105
84 -0.697105
85 -0.697287
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86 -0.697609
87 -0.697957
87 -0.697957
88 -0.697482
88 -0.697993
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89 -0.698045
89 -0.698045
90 -0.698389
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91 -0.699091
91 -0.699091
92 -0.699072
92 -0.699127
92 -0.699127
93 -0.699169
93 -0.699169
94 -0.699422
94 -0.699422
95 -0.699545
95 -0.699545
96 -0.700181
96 -0.700181
97 -0.70052
97 -0.70052
98 -0.700755
98 -0.700755
99 -0.700869
99 -0.700869
100 -0.699019
100 -0.700874
100 -0.700874
101 -0.697901
101 -0.700846
101 -0.700874
101 -0.700875
101 -0.700875
101 -0.700874
101 -0.700875
101 -0.700875
101 -0.700875
101 -0.700875
101 -0.700875
102 -0.682951
102 -0.700818
102 -0.700878
102 -0.700878
103 -0.700522
103 -0.700962
103 -0.700962
104 -0.700956
104 -0.701143
104 -0.701143
105 -0.700847
105 -0.701264
105 -0.701264
106 -0.699357
106 -0.701293
106 -0.701293
107 -0.700802
107 -0.701318
107 -0.701318
108 -0.701101
108 -0.701454
108 -0.701454
109 -0.701117
109 -0.701525
109 -0.701525
110 -0.700914
110 -0.701622
110 -0.701622
111 -0.701429
111 -0.701679
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112 -0.702049
112 -0.702049
113 -0.702067
113 -0.702067
114 -0.702424
114 -0.702424
115 -0.702911
115 -0.702911
116 -0.702993
116 -0.702993
117 -0.703354
117 -0.703354
118 -0.70348
118 -0.70348
119 -0.703623
119 -0.703623
120 -0.703758
120 -0.703758
121 -0.703861
121 -0.703861
122 -0.703992
122 -0.703992
123 -0.704031
123 -0.704031
124 -0.704308
124 -0.704308
125 -0.704431
125 -0.704431
126 -0.704565
126 -0.704565
127 -0.704793
127 -0.704793
128 -0.704626
128 -0.704884
128 -0.704884
129 -0.7044
129 -0.704907
129 -0.704907
130 -0.705365
130 -0.705365
131 -0.705579
131 -0.705579
132 -0.705919
132 -0.705919
133 -0.706196
133 -0.706196
134 -0.706419
134 -0.706419
135 -0.706565
135 -0.706565
136 -0.706604
136 -0.706604
137 -0.706731
137 -0.706731
138 -0.706708
138 -0.706768
138 -0.706768
139 -0.706699
139 -0.70692
139 -0.70692
140 -0.706833
140 -0.706975
140 -0.706975
141 -0.706896
141 -0.707044
141 -0.707044
142 -0.706378
142 -0.70706
142 -0.70706
143 -0.705602
143 -0.707069
143 -0.706376
143 -0.707055
143 -0.707068
143 -0.707069
143 -0.707069
143 -0.707069
144 -0.0399776
144 -0.677537
144 -0.706919
144 -0.707062
144 -0.707068
144 -0.707069
144 -0.707069
144 -0.707069
144 -0.707069
144 -0.707069
144 -0.707069
144 -0.707069
144 -0.707069
145 -0.614007
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