[ITK-users] Cardiac Deformation using Segmentation and Registration of Ultrasound Images

[Matt McCormick]

Hello Thanos,

Yes, to add support for additional image formats, add the
corresponding ITK module to the find_package(ITK COMPONENTS ... call:

  https://github.com/InsightSoftwareConsortium/ITKAnisotropicDiffusionLBR/blob/50acf46da9fa1480eb502a0bb550c36d518893eb/examples/CMakeLists.txt#L8


Thank you for the suggested correction to the usage documentation. It
is added here:

  https://github.com/InsightSoftwareConsortium/ITKAnisotropicDiffusionLBR/pull/12


A Python package is now available for the module. It can be installed via

  python -m pip install --upgrade pip
  python -m pip install itk-anisotropicdiffusionlbr



Thanks,
Matt

On Mon, Aug 14, 2017 at 12:42 PM, thanos thanos <thanosxania at gmail.com> wrote:
> Hello again,
>
> Matt, thank you for solving the example issue. I tried to use the filter and
> although it worked great for a 2D png image, it failed for a 2D jpg and
> dicom images as well as for a 3D nrrd volume. I got the error "Could not
> create ImageIO" so maybe that has to do with the ImageIOFactory.
>
> I liked the suggested and accepted values when I run the .exe but maybe to
> avoid confusion you could replace the
> "Weickert diffusion type. Accepted values: Edge, Coherence. Default: Edge."
> with
> Weickert diffusion type. Accepted values: EED cEED CED cCED Isotropic"
>
> Best regards,
> Thanos
>
> On Fri, Aug 11, 2017 at 6:55 PM, Matt McCormick <matt.mccormick at kitware.com>
> wrote:
>>
>> On Fri, Aug 4, 2017 at 9:36 AM, Matt McCormick
>> <matt.mccormick at kitware.com> wrote:
>> > Hi Thanos,
>> >
>> > On Thu, Aug 3, 2017 at 1:00 PM, thanos thanos <thanosxania at gmail.com>
>> > wrote:
>> >> Hello everyone,
>> >>
>> >> Dženan, Andras and Matt thank you very much for your answers.
>> >> To be honest I've tried already in the past registration with Slicer
>> >> using
>> >> Demons, B-Splines and also Elastix and Plastimach.
>> >>
>> >> Dženan, I read your last sentence already many times but I can't really
>> >> understand what you mean by "initializing registration of time point
>> >> n+1 by
>> >> resulting transform from time point n."
>> >>
>> >> Matt, thank you for sharing your thoughts. I already looked at the
>> >> AnisotropicDiffusionLBR paper and I have also tried the online
>> >> interactive
>> >> figures
>> >>
>> >> (https://insightsoftwareconsortium.github.io/ITKAnisotropicDiffusionLBR/).
>> >> Seems to work nicely, but I wasn't sure how to build the project. I
>> >> already
>> >> configured my ITK by setting the Module_AnisotropicDiffusionLBR at the
>> >> CMake
>> >> and then I tried to build the CoherenceEnhancingDiffusion from the
>> >> C:\ITK\src\Modules\Remote\AnisotropicDiffusionLBR\examples but I got "
>> >> Cannot open include file: 'CoherenceEnhancingDiffusionFilter.h': No
>> >> such
>> >> file or directory " so I guess I am missing something..
>> >
>> > Thanks for the note. I will look into this issue and address it next
>> > week.
>>
>> This is addressed here:
>>
>>   http://review.source.kitware.com/#/c/22567/
>>
>> https://github.com/InsightSoftwareConsortium/ITKAnisotropicDiffusionLBR/commit/3d9880d5f52c4c37e3b658abc607a13f3c3d9545
>>
>> I will also create a Python package for the module.
>>
>> Thanks,
>> Matt
>
>