Difference between revisions of "Examples of BSpline registration"

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== Contents ==
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[[B-Spline Automatic Registration]] chapter contains several sections:
  
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=== Examples of B-spline registration ===
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*[[B-Spline Automatic Registration]]
  
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Figure 1 below shows an example of B-spline 3D image registration. Figure 2 shows the registration deformation image and its lookup table. The registration was done using the default parameter values, which are explained in Section [[BSplineRegistrationOV_withMath.html#wp1003232|Image types]].
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*[[BSpline registration: Detecting folding]]
  
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{| width="90%" border="1" frame="hsides" frame="hsides"
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*[[Examples of BSpline registration | Examples of BSpline registration - you are here]]
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[[Image:noteicon.gif|center]]
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| width="81%" bgcolor="#B0E0E6" | '''Note:''' that the input and the target image are both images of the same brain, that's why the registration demonstrates a very good overall fitting.
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<br />
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*[[User Dialogs in MIPAV | B-Spline Automatic Registration Dialog box]]
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== Examples of B-Spline registration ==
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=== B-spline 3D image registration ===
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'''Note:''' that the input and the target image are both images of the same brain, that's why the registration demonstrates a very good overall fitting.
  
 
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<div style="color: #000000;  font-size: 10pt; font-style: normal; font-weight: normal; margin-bottom: 5pt; margin-left: 0pt; margin-right: 0pt; margin-top: 9pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline">  
 
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|+ <div> ''' Figure 1. The input source image (A), the input target image (B) and the output registered image (C). Note that images (A) and (B) are both the images of the same brain. That's why it shows a very good overall fitting. Results may vary, if you take different brain images. ''' </div>
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|+ <div> ''' The input source image (A), the input target image (B) and the output registered image (C). Note that images (A) and (B) are both the images of the same brain. That's why it shows a very good overall fitting. Results may vary, if you take different brain images. ''' </div>
 
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<div style="font-style: normal; font-weight: normal; margin-bottom: 0pt; margin-left: 0pt; margin-right: 0pt; margin-top: 1pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline"><font size="2pt"><font color="#000000"><div><center>[[Image:2D_RegistrationRegisteredImage.png]]</center></div><br /> </font></font></div>
 
<div style="font-style: normal; font-weight: normal; margin-bottom: 0pt; margin-left: 0pt; margin-right: 0pt; margin-top: 1pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline"><font size="2pt"><font color="#000000"><div><center>[[Image:2D_RegistrationRegisteredImage.png]]</center></div><br /> </font></font></div>
 
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=== The registration deformation image and its lookup table ===
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The registration was done using the default parameter values, which are explained in Section [[BSplineRegistrationOV_withMath.html#wp1003232|Image types]].
  
 
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  <div style="color: #000000;  font-size: 10pt; font-style: normal; font-weight: normal; margin-bottom: 5pt; margin-left: 0pt; margin-right: 0pt; margin-top: 9pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline">
 
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|+ <div>'''Figure 2. The deformation image and its lookup table. The dark areas on the deformation image are related to the areas on images (A) and (B) which did not perform a deformation during the registration or the deformation was relatively small. The light areas are related to the areas on images (A) and (B) which perform a bigger deformation.''' </div>
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|+ <div>'''The deformation image and its lookup table. The dark areas on the deformation image are related to the areas on images (A) and (B) which did not perform a deformation during the registration or the deformation was relatively small. The light areas are related to the areas on images (A) and (B) which perform a bigger deformation.''' </div>
 
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<div style="font-style: normal; font-weight: normal; margin-bottom: 0pt; margin-left: 0pt; margin-right: 0pt; margin-top: 1pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline"><font size="2pt"><font color="#000000"><div><center>[[Image:FunctionLUT.png]]</center></div><br /> </font></font></div>
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<div style="font-style: normal; font-weight: normal; margin-bottom: 0pt; margin-left: 0pt; margin-right: 0pt; margin-top: 1pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline"><font size="2pt"><font color="#000000"><div><center>[[Image:BSplineFunctionLUT.png‎]]</center></div><br /> </font></font></div>
 
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<div style="font-style: normal; font-weight: normal; margin-bottom: 0pt; margin-left: 0pt; margin-right: 0pt; margin-top: 1pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline"><font size="2pt"><font color="#000000"><div><center>[[Image:Function.png]]</center></div><br /> </font></font></div>
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<div style="font-style: normal; font-weight: normal; margin-bottom: 0pt; margin-left: 0pt; margin-right: 0pt; margin-top: 1pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline"><font size="2pt"><font color="#000000"><div><center>[[Image:BSplineDeformationImage.png]]</center></div><br /> </font></font></div>
 
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== Next ==
 +
 
 +
*[[B-Spline Automatic Registration]]
 +
 
 +
*[[BSpline registration: Detecting folding]]
 +
 
 +
*[[Examples of BSpline registration | Examples of BSpline registration - you are here]]
 +
 
 +
*[[User Dialogs in MIPAV | B-Spline Automatic Registration Dialog box]]
 +
 
 +
 
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[[Category:Help]]
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[[Category:Help:Algorithms]]

Latest revision as of 11:56, 7 August 2012

Contents

B-Spline Automatic Registration chapter contains several sections:

  • Examples of BSpline registration - you are here

Examples of B-Spline registration

B-spline 3D image registration

Note: that the input and the target image are both images of the same brain, that's why the registration demonstrates a very good overall fitting.

The input source image (A), the input target image (B) and the output registered image (C). Note that images (A) and (B) are both the images of the same brain. That's why it shows a very good overall fitting. Results may vary, if you take different brain images.

2D RegistrationOriginalImage.png
2D RegistrationTargetImage.png
2D RegistrationRegisteredImage.png

The registration deformation image and its lookup table

The registration was done using the default parameter values, which are explained in Section Image types.

The deformation image and its lookup table. The dark areas on the deformation image are related to the areas on images (A) and (B) which did not perform a deformation during the registration or the deformation was relatively small. The light areas are related to the areas on images (A) and (B) which perform a bigger deformation.

BSplineFunctionLUT.png
BSplineDeformationImage.png

Next

  • Examples of BSpline registration - you are here
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