[Insight-users] RE: Examples on GrayScaleFillHoleImageFiler? And using breast ima ges on mypacs.net

[Miller, James V (Research)]

Neha, 
 
GrayscaleFillHoleImageFilter is implemented using geodesic morphology.  In
particular, GrayscaleGeodesicErodeImageFilter. In geodesic erosion, the
structuring element is prescribed as a radius of 1 kernel. There are no
options for changing the kernel.
 
Geodesic erosion runs with a kernel of radius 1 and runs until convergence.
Geodesic morphology uses a "marker" image and a "mask" image.  One of these
images is the one that is "operated on".  The other serves as a
"constraint".
 
Like Luis mentioned, Running FillHole/GrindPeak followed by an image
substraction will highlight "holes" or "peaks".  
 
There are other geodesic morphology classes, HMinimum, HMaximum, HConcave,
HConvex, DoubleThreshold, etc.
 
Jim
 

-----Original Message-----
From: neha k [mailto:itkneha1 at yahoo.com]
Sent: Friday, October 29, 2004 10:13 AM
To: Miller, James V (Research); Luis Ibanez; Insight-users (E-mail)
Subject: RE: Examples on GrayScaleFillHoleImageFiler? And using breast ima
ges on mypacs.net


Hello Jim,
 
Thanks for your reply.  I just checked implementation of
GrayscaleFilleholeImageFilter, and it uses Erosion operation that uses some
structuring element.  So, I am little confused.  
 
Thanks,Neha

"Miller, James V (Research)" <millerjv at crd.ge.com> wrote:

A reference to the FillHole technique is mentioned in the documentation.
The excerpt is below.
 
 * Geodesic morphology and the Fillhole algorithm is described in
 * Chapter 6 of Pierre Soille's book "Morphological Image Analysis:
 * Principles and Applications", Second Edition, Springer, 2003.

The GrindPeak algorithm is essentially the dual of this algorithm. (Though
not mentioned in the above text).
 
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.
 
Jim
 
 

-----Original Message-----
From: neha k [mailto:itkneha1 at yahoo.com]
Sent: Thursday, October 28, 2004 4:11 PM
To: Luis Ibanez; itkneha1 at yahoo.com
Subject: Examples on GrayScaleFillHoleImageFiler? And using breast images on
mypacs.net


Hello Luis,
Thanks for your reply.   Is there any example on GrayScaleFillHoleImageFiler
or GrayScaleGrindPeakImageFilter?   What book can I refer to understand
these filters?
 
Also, can you please let me know what you mean by "fine tune the structuring
element for matching the relative size of calcifications in image".   
 
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 -
http://www.mypacs.net/cgi-bin/repos/mpv3_repo/wrm/repo-view.pl?cx_subject=28
078
<http://www.mypacs.net/cgi-bin/repos/mpv3_repo/wrm/repo-view.pl?cx_subject=2
8078&cx_image_only_mode=off&cx_repo=mpv3_repo&cx_from_folder>
&cx_image_only_mode=off&cx_repo=mpv3_repo&cx_from_folder=
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?
Any input on this is most appreciated.  
Thanks,
Neha

Luis Ibanez <luis.ibanez at kitware.com> wrote:


HI Neha,

You can find Breat images at

www.mypacs.net

you can create an account for free and
download real datasets.

Look for the title "Shared Cases" and
click in "Breast".

--

You may want try the advanced Mathematical Morphology
methods such as: FillHole and GrindPeak.

http://www..itk.org/Insight/Doxygen/html/classitk_1_1GrayscaleFillholeImageF
ilter.html
http://www.itk.org/Insight/Doxygen/html/classitk_1_1GrayscaleGrindPeakImageF
ilter.html

Taking an input imag, applying one of these filter and
then subtracting from the original may enhance spiculations
and calcificaitions. You will have to fine tune the structuring
element for matching the relative size of calcifications in your
image.


Regards,


Luis

----------------------------
neha k wrote:

> Hello All,
> 
> I am working on Breast Image Segmention for deleneating lesions, ducts 
> and fat tissues. Problem is that I don't have Breast Images with 
> contrast agent used. Hence I can't have pre and post contrast agent 
> to subtract them and locate tumour etc. What will be the best way to 
> segment such breast images (in RAW format). I am currently trying to 
> use Watershed segmentation and not getting any good results with it. 
> It causes lot of oversegmentation. I have not used Level Set Seg. 
> method yet.
> Any input is appreciated. 
> 
> Thanks,
> Neha
>
>







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