AW: [Insight-users] Question about SymmetricForcesDemonsRegistrationFilter and LevelSetMotionRegisrationFilter

[Corinne Mattmann]

Hi Guorong,
 
QUESTION 2:
 
The SymmetricForcesDemonsRegistrationFilter is based on formula (5) out 
of Thirion's paper:
Jean-Philippe Thirion: Fast Non-Rigid Matching of 3D Medical Images; May 
1995; Publication no. 2547 at INRIA (http://www.inria.fr/rrrt/rr-2547.html).
 
It is basiacally the same as the original formula (4) except that 
instead of just considering one image gradient (the one of the fixed 
image), the moving image gradient is included as well. This leads to 
better results where there is a large deformation.
 
The implementation of this formula can be found in the file 
SymmetricForcesDemonsRegistrationFunction on line 163-323.
 
Hope this answers your question,
Corinne
 
___________________________________________________________

Message: 2
Date: Thu, 15 Jul 2004 15:12:55 +0800
From: "Guorong Wu"
Subject: [Insight-users] Question about
SymmetricForcesDemonsRegistrationFilter and
LevelSetMotionRegisrationFilter
To: ITK Mailling List
Message-ID: <20040715071305.26CA27B09EE at mx1.sjtu.edu.cn>
Content-Type: text/plain; charset="gb2312"

Hello all:
In the directory /Insight/Examples/Registration there are three demons 
like non-rigid registration examples: DeformableRegistration2.cxx, 
DeformableRegistration3.cxx DeformableRegistration5.cxx respectively. 
DeformableRegistration2.cxx is based on Thirion's original demons 
algorithm, and DeformableRegistration3.cxx use symmetric forces which 
can avoid the non-uniformity of deformation field, while 
DeformRegistration5.cxx implements a deformable registration algorithm 
that align a fixed image and a moving image under level set motion.
I'v tested those three programs for sevel MR brain images finding that 
levelsetmotionfilter is the most efficient one. Symmetricforcefilter 
does great better result than Thirion's but the computation time is 
three times than demonsregistrationfilter. The match result of 
levelsetmotionfilter is about 10% better than symmetricforcefilter in 
every test while takes much less (about 30%) time than 
demonsregistraionfilter.
I am so interested in itkSymmetricForcesDemonsRegistrationFilter and 
itkLevelSetMotionRegistrationFilter that I look into the source code of 
these algorithms, but I am got confused in some implementations in the 
souce code. So I will be very appreciated if someone would give me some 
help. Thanks in advance.

QUESTION1:  This is about LevelSetMotionRegistrationFilter. I'v read the 
paper mentioned in 
/Code/Algorithms/itkLevelSetMotionRegistrationFilter.h. In this paper, 
the process of registration is controled by two PEDs (equation 23 and 
equation 27). But in itkLevelSetMotionRegistrationFunction I could only 
find the implementation of equation 27 in function ComputeUpdate(...) at 
line 399. Could someone tell me where is the implementation of equation 23?
QUESTION2: SysmmetricForcesRegistrationFilter is the variant of 
triditional demons which is contributed by Corinne Mattmann. I could see 
the modification through the source code but cann't tell why does it 
take the effect. Would you like to recommmend some paper?
QUESTION3: Most of the registraion methods is proposed in the 
multi-resolution framework. But the example programs does not use 
multi-resolution. If I try to add it to the examples what kind of work I 
should do or what should I take careful?

Good Luck.


????????????????Guorong Wu
????????????????grwu at sjtu.edu.cn
????????????????????2004-07-15

=============================================================
Guorong Wu
The Department of Computer Science and Technology
Shanghai Jiao Tong University
1954 Huashan RD
Shanghai China   
200030
Tel:  +86 21 3226 1236  , 6293 2089
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