[Insight-users] An overlap invariant mutual information metric
Jessica de Ryk
jessica-deryk at uiowa . edu
Tue, 18 Nov 2003 21:17:08 -0600
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Hi,
I was hoping someone might beable to help me with a way to convert the =
mutual information metric to a normalized MI metric which is independant =
of the amout of overlap between the fixed and moving images.=20
The following paper explains the theory but I have not been able to =
figure out how to implement it in itk.
C. Studholme, D.J. Hawkes, and D.L.G. Hill, \An overlap invariant =
entropy measure of 3d medical image alignment," Pattern Recognition, =
vol. 32, pp. 71-86, 1999.
I have been using itk release 1.2, is there any new relavent =
developments in 1.4?
Jess
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<DIV><FONT face=3DArial size=3D2>
<DIV><FONT face=3DArial size=3D2>Hi,</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>I was hoping someone might beable to =
help me with a=20
way to convert the mutual information metric to a normalized MI metric =
which is=20
independant of the amout of overlap between the fixed and moving images. =
</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2>The following paper explains the theory =
but=20
I have not been able to figure out how to implement it in =
itk.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2><SPAN class=3Dh><B><FONT face=3D"Times =
New Roman"=20
size=3D3>C. Studholme, D.J. Hawkes, and D.L.G. Hill, \<I>An =
overlap invariant=20
entropy measure of 3d medical image alignment</I>," Pattern Recognition, =
vol.=20
32, pp. 71-86, 1999.</FONT></B></SPAN></FONT></DIV>
<DIV><FONT face=3D"Times New Roman" size=3D3><SPAN=20
class=3Dh><STRONG></STRONG></SPAN></FONT> </DIV>
<DIV><FONT face=3D"Times New Roman" size=3D3><SPAN class=3Dh>I have been =
using itk=20
release 1.2, is there any new relavent developments in =
1.4?</SPAN></FONT></DIV>
<DIV><FONT face=3D"Times New Roman" size=3D3><SPAN=20
class=3Dh></SPAN></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2><SPAN =
class=3Dh>Jess</SPAN></FONT></DIV></FONT></DIV>
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