[Insight-users] Registration
CSPL
affable at hd2 . dot . net . in
Mon, 15 Sep 2003 10:15:31 +0530
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Hi All,
We are trying to perform registration.
Fixed volume is the extracted brain part of the original MR volume.
Moving is the spect volume=20
Our requirement is to register extracted brain with spect and then fuse =
the registered spect with the original MR so that spect fuses with the =
brain and not with other tissues.
We are using following itk classes for registration and transform =
proces:
1. MultiResolutionImageRegistrationMethod
2.MattesMutualInformationImageToImageMetric
3.LinearInterpolateImageFunction
4.RecursiveMultiResolutionPyramidImageFilter
5.CenteredAffineTransform
6.RegularStepGradientDescentOptimizer
7.ResampleImageFilter
Input parameters for the above classes are:
no of iterations =3D 200;
TranslateScale =3D 1000;
optimizer Scales =3D 1;
Optimizer maximum step length =3D 0.1;
Optimizer minimum step length =3D 0.01;
SpatialSamples =3D 1000;
Bins =3D 50;
No of Levels =3D 3;
SetMinimize =3D TRUE;
The fusion output is showing the spect fused with the lower part of the =
MR brain and not exactly the brain tissue.
Can someone help us and let us know our mistake.
Regards,
Srivalli
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<DIV><FONT face=3DArial size=3D2>Hi All,</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2>We are trying to perform =
registration.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2>Fixed volume is the extracted brain =
part of the=20
original MR volume.<BR>Moving is the spect volume </FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2>Our requirement is to register =
extracted brain with=20
spect and then fuse the registered spect with the original MR so =
that spect=20
fuses with the brain and not with other tissues.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2>We are using following itk classes for =
registration=20
and transform proces:<BR>1.=20
MultiResolutionImageRegistrationMethod<BR>2.MattesMutualInformationImageT=
oImageMetric<BR>3.LinearInterpolateImageFunction<BR>4.RecursiveMultiResol=
utionPyramidImageFilter<BR>5.CenteredAffineTransform<BR>6.RegularStepGrad=
ientDescentOptimizer<BR>7.ResampleImageFilter</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2>Input parameters for the above classes =
are:<BR>no=20
of iterations =3D 200;<BR>TranslateScale =3D 1000;<BR>optimizer Scales =
=3D=20
1;<BR>Optimizer maximum step length =3D 0.1;<BR>Optimizer minimum step =
length =3D=20
0.01;<BR>SpatialSamples =3D 1000;<BR>Bins =3D 50;<BR>No of Levels =3D=20
3;<BR>SetMinimize =3D TRUE;</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2>The fusion output is showing the spect =
fused with=20
the lower part of the MR brain and not exactly the brain =
tissue.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2>Can someone help us and let us know our =
mistake.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2>Regards,</FONT></DIV>
<DIV><FONT face=3DArial =
size=3D2>Srivalli</FONT></DIV></DIV></BODY></HTML>
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