[ITK] [ITK-users] Medical Image Analysis IPython Notebooks

[Jim Miller]

How about we add a link to these off the ITK Wiki.  Perhaps off the page

http://itk.org/Wiki/ITK/Course_Ware


Jim

> On Dec 22, 2014, at 1:04 PM, Keraudren, Kevin <kevin.keraudren10 at imperial.ac.uk> wrote:
> 
> Hi Brad,
> 
> I am glad the notebooks are appreciated, all the credit goes to Ozan (in copy) who is the main author! 
> 
> If I understand correctly you are mentioning in your email the ImageRegistrationMethod which will be in the next release of SimpleITK (0.9.0):
>   http://www.itk.org/SimpleITKDoxygen/html/classitk_1_1simple_1_1ImageRegistrationMethod.html 
>   https://github.com/SimpleITK/SimpleITK/tree/next
> 
> This will definitely be something to look at for the next iteration of these tutorials.
> 
> Kind regards,
> 
> Kevin
> 
> From: Bradley Lowekamp [blowekamp at mail.nih.gov]
> Sent: Monday, December 22, 2014 2:26 PM
> To: Keraudren, Kevin
> Cc: insight-users at itk.org Users; Oktay, Ozan
> Subject: Re: [ITK-users] Medical Image Analysis IPython Notebooks
> 
> Hello Kevin,
> 
> These notebooks look outstanding. Thank you very much for sharing.
> 
> I very much like what you did here:
> http://nbviewer.ipython.org/github/ozan-oktay/Medical-Image-Analysis-IPython-Tutorials/blob/master/tutorial_2/basics_reg.ipynb
> to illustrate the different metrics' values, and the impact of apply Gaussian smoothing to the images.
> 
> Also please note that you were using the an experimental version of the ImageRegistrationMethod in SimpleITK which was based on ITKv3 registration frameworks. Since then the development has evolved to be based on the ITKv4 registration framework and many, many features have been added.
> 
> This includes a couple transform initializers which estimate some basic transform parameters and very importantly set the fixed parameter for the center of the transform. Additionally the interface to the transforms is much improved.
> 
> Brad
> 
>> On Dec 20, 2014, at 5:24 AM, Kevin Keraudren <kevin.keraudren10 at imperial.ac.uk> wrote:
>> 
>> Hi,
>> 
>> The IPython notebooks used for the tutorials in the Medical Image Analysis course at Imperial College London are now on github:
>> https://github.com/ozan-oktay/Medical-Image-Analysis-IPython-Tutorials
>> 
>> These might be of interest to the mailing list as they rely on SimpleITK and could be useful either as teaching material or example applications.
>> 
>> They can be browsed directly in nbviewer:
>> http://nbviewer.ipython.org/github/ozan-oktay/Medical-Image-Analysis-IPython-Tutorials/tree/master/
>> 
>> The following blog post is a quick presentation of the github repository:
>> http://kevin-keraudren.blogspot.co.uk/2014/12/medical-image-analysis-ipython-tutorials.html
>> 
>> Please do not hesitate to let us  know if you have questions or comments regarding these tutorials.
>> 
>> Kind regards,
>> 
>> Kevin Keraudren,
>> PhD student, Imperial College London
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