hi,
I am looking for an easy software to compute medical image textures. Input format must be DICOM, Textures must be based on Gray Level Co-occurence Matrix including the famous Haralick's features. Ideally, the computing could be performed according to a sliding window of adjustable dimensions.
Thank you for your suggestions and feedback
Hello
There is no standard software to calculate image features your looking for, at least freeware.
The emerging solutions might be find at "Definiens A.G., /http://www.definiens.com", which is a commercial product .
Or you can ask people from "radiomics : http://www.radiomics.org/" to share their Matlab/C/C++ code with you.
Bests,
MIkalai
Hi Mikalai,
Thank you for your feedback.
I tried to process my data with Mevislab software but it seems there are several bugs and the documentation is quite sparse. I contacted the developer but he was not so available for support.
As you suggested, I will try now to contact Radiomics.org people.
It is amazing that, with so many paper published about radiomics and texture features, no software are available.
Anyway thank you so much.
Kind Regards
Dear Hubert Beaumont,
I suggest the MaZda software package version 4.7 developed by the Institute of Electronics, Technical University of Lodz, Poland will meet your needs. It can be downloaded for free at http://www.eletel.p.lodz.pl/programy/mazda/
Warm regards.
http://www.eletel.p.lodz.pl/programy/mazda/
Dear Hubert
I think MaZda has been disbanded and is not supported by the developers anymore. If you know your way around in R, there is an actively developed, open-source radiomics package which, amongst other texture features, allows computation of Haralick features: https://cran.r-project.org/web/packages/radiomics/radiomics.pdf
Hope this helps.
Best regards
https://cran.r-project.org/web/packages/radiomics/radiomics.pdf
Hi Eduardo,
IBEX sounds very interesting, I am greatly interested in using it, Right now, I am trying to help myself with the instal and tests. Anyway, I will give you my feedback shortly.
Thank you again very much
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