heterogeneity measures

[Carlo A Scire]

Hi all,

 

I need help about heterogeneity measures of histological images. I’m
starting to perform an analysis on histological specimens of cellular
cluster distribution. I need a measure of heterogeneity of cellular
distribution, which is independent from the number of cells in the tissue
(cellular density).

I ask you suggestions about:

- the more reliable measure to do (nearest neighbour distribution, fractal
dimension of relative dispersion, minimal spanning tree graph edge length
distribution…)

- a way to perform those analysis by ImageJ

- an easy source for acquisition of basic concepts on this kind of measures.

 

Thank you

 

Carlo

 

---------------------------------------------------------------------------

Dr. Carlo Alberto Scirè

Cattedra e Unità Operativa di Reumatologia

Università di Pavia – IRCCS Policlinico San Matteo

P.zale Golgi 2

[phone]

HYPERLINK "mailto:[hidden email]"[hidden email]

HYPERLINK "mailto:[hidden email]"[hidden email]

 

 


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[Abdalkader Bitar]

Hi all,

I have a problem to change the level values of Contour Plotter  
plugin.. The default values can't be changed or deleted!!..

Any help please?

Thanks

Abdo

[Vincenzo Della Mea]

Dear Carlo,
many years ago I did something similar on breast ducts, using  
neighborhood graphs:

Beltrami CA, Della Mea V, Finato N. Structure analysis of breast  
lesions using neighborhood graphs.
Anal Quant Cytol Histol. 1995 Apr;17(2):143-50.

At that time, I acquired images using an IBAS system, where I also did  
some pre-processing, and then created graphs on a Macintosh, with a  
software system developed by me in Pascal. It was a relatively hard  
computational task, but I suppose now will be faster.
I'll look among by backups to find out the paper, if you need it.

Vincenzo

> I need help about heterogeneity measures of histological images. I’m
> starting to perform an analysis on histological specimens of cellular
> cluster distribution. I need a measure of heterogeneity of cellular
> distribution, which is independent from the number of cells in the  
> tissue
> (cellular density).
>


------------------------------------------------------------------------
------------------------
-----------------------------  Vincenzo Della Mea, PhD  
------------------------------
------------ Medical Informatics, Telemedicine and e-health Lab  
------------
Dept. of Mathematics and Computer Science - University of Udine, Italy
-----------------------  http://www.dimi.uniud.it/dellamea/ 
-------------------------
------------------------------- http://mitel.dimi.uniud.it 
---------------------------------

[audrey karperien]

Hi. I'm not sure what your images look like, but lacunarity may be useful.  FracLac calculates multifractal measures, fractal dimension, and lacunarity, as well as other morphological features of binary images, and is available here: http://athene.riv.csu.edu.au/~akarpe01/box.html

Carlo A Scire <[hidden email]> wrote:  Hi all,



I need help about heterogeneity measures of histological images. I’m
starting to perform an analysis on histological specimens of cellular
cluster distribution. I need a measure of heterogeneity of cellular
distribution, which is independent from the number of cells in the tissue
(cellular density).

I ask you suggestions about:

- the more reliable measure to do (nearest neighbour distribution, fractal
dimension of relative dispersion, minimal spanning tree graph edge length
distribution…)

- a way to perform those analysis by ImageJ

- an easy source for acquisition of basic concepts on this kind of measures.



Thank you



Carlo



---------------------------------------------------------------------------

Dr. Carlo Alberto Scirè

Cattedra e Unità Operativa di Reumatologia

Università di Pavia – IRCCS Policlinico San Matteo

P.zale Golgi 2

[phone]

HYPERLINK "mailto:[hidden email]"[hidden email]

HYPERLINK "mailto:[hidden email]"[hidden email]






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