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<DIV><SPAN class=026104913-29102004><FONT face=Verdana color=#0000ff size=2>A
reference to the FillHole technique is mentioned in the documentation. The
excerpt is below.</FONT></SPAN></DIV>
<DIV><SPAN class=026104913-29102004><FONT face=Verdana color=#0000ff
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=026104913-29102004><FONT face=Verdana color=#0000ff
size=2> * Geodesic morphology and the Fillhole algorithm is described
in<BR> * Chapter 6 of Pierre Soille's book "Morphological Image
Analysis:<BR> * Principles and Applications", Second Edition, Springer,
2003.<BR></FONT></SPAN></DIV>
<DIV><SPAN class=026104913-29102004><FONT face=Verdana color=#0000ff size=2>The
GrindPeak algorithm is essentially the dual of this algorithm. (Though not
mentioned in the above text).</FONT></SPAN></DIV>
<DIV><SPAN class=026104913-29102004><FONT face=Verdana color=#0000ff
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=026104913-29102004><FONT face=Verdana color=#0000ff
size=2>These techniques use geodesic morphology. There is no structuring
element to change. They operate on the 4/8 connected neighbors and run
iteratively until convergence.</FONT></SPAN></DIV>
<DIV><SPAN class=026104913-29102004><FONT face=Verdana color=#0000ff
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=026104913-29102004><FONT face=Verdana color=#0000ff
size=2>Jim</FONT></SPAN></DIV>
<DIV><SPAN class=026104913-29102004><FONT face=Verdana color=#0000ff
size=2></FONT></SPAN> </DIV>
<DIV><SPAN class=026104913-29102004><FONT face=Verdana color=#0000ff
size=2> </DIV></FONT></SPAN>
<BLOCKQUOTE>
<DIV class=OutlookMessageHeader dir=ltr align=left><FONT face=Tahoma
size=2>-----Original Message-----<BR><B>From:</B> neha k
[mailto:itkneha1@yahoo.com]<BR><B>Sent:</B> Thursday, October 28, 2004 4:11
PM<BR><B>To:</B> Luis Ibanez; itkneha1@yahoo.com<BR><B>Subject:</B> Examples
on GrayScaleFillHoleImageFiler? And using breast images on
mypacs.net<BR><BR></FONT></DIV>
<DIV>Hello Luis,</DIV>
<DIV>Thanks for your reply. Is there any example on
GrayScaleFillHoleImageFiler or GrayScaleGrindPeakImageFilter? What
book can I refer to understand these filters?</DIV>
<DIV> </DIV>
<DIV>Also, can you please let me know what you mean by "fine tune
the structuring<BR>element for matching the relative size of calcifications
in image". </DIV>
<DIV> </DIV>
<DIV>Since I need pair of breast MRIs (Which unfortunately are not
avilable to me) I checked mypacs.net, where I found one set of images
GRE-images at following link - <A
href="http://www.mypacs.net/cgi-bin/repos/mpv3_repo/wrm/repo-view.pl?cx_subject=28078&cx_image_only_mode=off&cx_repo=mpv3_repo&cx_from_folder">http://www.mypacs.net/cgi-bin/repos/mpv3_repo/wrm/repo-view.pl?cx_subject=28078&cx_image_only_mode=off&cx_repo=mpv3_repo&cx_from_folder</A>=</DIV>
<DIV>Fil. 9,10 and 11. Does it make sense to use these 2 images,
subtracting them and applying Watershed on the result. If so, how can I
decide by checking these images if that needs deformable registration?</DIV>
<DIV>Any input on this is most appreciated. </DIV>
<DIV>Thanks,</DIV>
<DIV>Neha</DIV>
<DIV><BR><B><I>Luis Ibanez <luis.ibanez@kitware.com></I></B>
wrote:</DIV>
<BLOCKQUOTE class=replbq
style="PADDING-LEFT: 5px; MARGIN-LEFT: 5px; BORDER-LEFT: #1010ff 2px solid"><BR>HI
Neha,<BR><BR>You can find Breat images at<BR><BR>www.mypacs.net<BR><BR>you
can create an account for free and<BR>download real datasets.<BR><BR>Look
for the title "Shared Cases" and<BR>click in "Breast".<BR><BR>--<BR><BR>You
may want try the advanced Mathematical Morphology<BR>methods such as:
FillHole and
GrindPeak.<BR><BR>http://www..itk.org/Insight/Doxygen/html/classitk_1_1GrayscaleFillholeImageFilter.html<BR>http://www.itk.org/Insight/Doxygen/html/classitk_1_1GrayscaleGrindPeakImageFilter.html<BR><BR>Taking
an input imag, applying one of these filter and<BR>then subtracting from the
original may enhance spiculations<BR>and calcificaitions. You will have to
fine tune the structuring<BR>element for matching the relative size of
calcifications in
your<BR>image.<BR><BR><BR>Regards,<BR><BR><BR>Luis<BR><BR>----------------------------<BR>neha
k wrote:<BR><BR>> Hello All,<BR>> <BR>> I am working on Breast
Image Segmention for deleneating lesions, ducts <BR>> and fat tissues.
Problem is that I don't have Breast Images with <BR>> contrast agent
used. Hence I can't have pre and post contrast agent <BR>> to subtract
them and locate tumour etc. What will be the best way to <BR>> segment
such breast images (in RAW format). I am currently trying to <BR>> use
Watershed segmentation and not getting any good results with it. <BR>> It
causes lot of oversegmentation. I have not used Level Set Seg. <BR>>
method yet.<BR>> Any input is appreciated. <BR>> <BR>>
Thanks,<BR>> Neha<BR>><BR>><BR><BR><BR><BR></BLOCKQUOTE>
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