Title:

Novel Methods for the Visualization and Analysis of Functional Maps in Cortex

Home
deutsch
  
ISBN: 0815340788   ISBN: 0815340788   ISBN: 0815340788   ISBN: 0815340788 
 
|<< First     < Previous     Index     Next >     Last >>|
  Wir empfehlen:       
 

Methods 83 In mrFindBorders, the positions in (the assumed) X and Y correspond to the positions of the pixels. The pixels do not move, i.e., the grid on which the pixels lie does not change when warping. Only the pixel values change.   The function interp2 gets the new values at (x, y) from the locations (x+u, y+v). The left half of  Figure  40  shows  a  measured  phase-wedge  image  and  the  corresponding  initially  aligned atlas image. On the right side, the 2D displacement field for the control points (from which the full displacement fields are calculated as explained above) and the deformed atlas can be seen. The atlas was deformed by using the full displacement fields u and v. Please note that the arrows point from certain locations, which can be between control points, to the control points.  This  shows  that  the  control  points  lie  on  a  fixed  grid,  like  the  pixels.  They  do  not move. Only the values, e.g., phase values, change. 5.2.4 Estimating Displacement Fields The aim is to deform the atlas images so that they match their corresponding measured im- ages. In other words, appropriate displacement fields have to be estimated. The general idea is to  create  test  displacement  fields  for  the  control  points  (cu  and  cv).  The  full  displacement fields  u  and  v  can  then  be  derived  and  the  atlas  images can be deformed with the full dis- placement fields. Then,  the  deformed  atlases  have  to  be  evaluated.  The  evaluation  is  done  by  an  energy function, which decreases if the deformation becomes better. The calculation of the energy is described  in  more  detail  in  section  5.2.5.  To  improve  the  warping  the  energy is minimized while  different  deformations  are  tested.  Therefore,  a  minimization  (optimization)  algorithm had to be found that minimizes the energy in an efficient way and therefore estimates the dis- placement fields. This is explained in section 5.2.6.  
  
The Biology of Cancer
Siehe auch:
Molecular Biology of the Cell
One Renegade Cell: How Cancer Begins: The...
Molecular Biology of the Cell
Lehninger Principles of Biochemistry
 
   
 
     
|<< First     < Previous     Index     Next >     Last >>| 

Back to the topic site:
ScientificPublication.com/Startseite/Informatik

External Links to this site are permitted without prior consent.
   
  Home  |  deutsch  |  Set bookmark  |  Send a friend a link  |  Copyright ©  |  Impressum