Hi Andreas,

I suppose the LUT will be saved in files and adding new LUT file 
generated by the user using external tools would probably be possible, 
or not?

Best,
Urban

On 16.1.2014 9:45, Fetzer, Andreas wrote:
> Hi Matt,
>
> the plan is to provide a fixed set of look up tables. For now we want to 
> provide the ones which are defined by the dicom standard.
> The dicom standard defines the following color palettes: Hot Iron, PET, Hot 
> Metal Blue and PET 20 Step.
> The selection of such a color map could happen e.g. via the context menu of 
> the data manager.
>
> Best
> Andreas
>
> -----Original Message-----
> From: Clarkson, Matt [mailto:[email protected]]
> Sent: Donnerstag, 16. Januar 2014 09:16
> To: Fetzer, Andreas
> Cc: MITK
> Subject: Colour Mapped Images?
>
> Hi Andreas,
>
> can you expand a bit on what is being developed for colour mapped images? I'm 
> interested. Do you mean mapping them through an arbitrary lookup table? Or is 
> the plan to provide a fixed set of lookup tables? Or did i miss the point 
> here?
>
> Thanks
>
> Matt
>
>
>
> On 16 Jan 2014, at 07:30, "Fetzer, Andreas" <[email protected]>
>   wrote:
>
>> Hi Urban,
>>
>> the support for color-mapped images is currently under development. We are 
>> planning to have this in the next release which will be at the end of March. 
>> Most likely this feature will be available in the MITK master earlier. 
>> Despite of that you can load several image from different modalities at a 
>> time and display them simultaneously but at the moment they will simply be 
>> displayed as gray value images.
>>
>> The developer mode Sascha was talking about would be used if you want to 
>> display different images concurrently in different slice windows. As Sascha 
>> said you can set a so called "visibility" property. This property allows you 
>> specify in which of the (by default four) render windows your data is 
>> displayed.
>>
>> Best regards
>> Andreas
>>
>> -----Original Message-----
>> From: Urban Simoncic [mailto:[email protected]]
>> Sent: Mittwoch, 15. Januar 2014 01:50
>> To: Zelzer, Sascha; [email protected]
>> Subject: Re: [mitk-users] MITK vs. slicer
>>
>> Hi,
>>
>> thanks for the explanation. If I understand you right, the MITK can display 
>> a multimodality image (e.g. PET/CT) with one color-mapped image (e.g. PET) 
>> over a black-white background image (e.g. CT) in slice windows. Is it 
>> possible only in a "developer mode" or there exists more user-friendly way 
>> for doing that?
>>
>> Best,
>> Urban
>>
>> On 14.1.2014 13:45, Sascha Zelzer wrote:
>>> Hi,
>>>
>>> On 01/12/2014 10:58 PM, Urban Simoncic wrote:
>>>> Hi,
>>>>
>>>> first I would like to thanks Caspar and Sascha for the response. Of
>>>> course I do not expect to get unbiased opinion here, but I know the
>>>> "conflict of interests", so your thoughts are still valuable for me.
>>>>
>>>> I have done some comparisons of MITK and Slicer, but I am not
>>>> experienced user of any, so my conclusions might be affected by the
>>>> insufficient knowledge of these tools. In MITK I like the way how
>>>> data is displayed in Data Manager and in different view windows that
>>>> are cnnected. However, it seems that MITK is more suited for working
>>>> on single image at time, while the slicer is better suited to work
>>>> with different (possibly multimodality) images concurrently.
>>> The MITK Workbench (and Slicer as well, AFAIK) do not restrict the
>>> user in the amount of loaded/displayed data sets. At the MITK toolkit
>>> or application framework level, developers also have a much higher
>>> degree of freedom for combining and displaying images (concurrently)
>>> in different render windows.
>>>
>>>> To confirm/reject my findings, I would like to know:
>>>> - Is MITK Workbench able to concurrently display different images (e.g.
>>>> multiple non-registered images of the same patient, acquired at
>>>> different time point) in different slice windows?
>>> The MITK Workbench internally uses a single "data storage" which
>>> contains the scene for the default render windows. Each render window
>>> (e.g. each of the four render windows in the "default render window
>>> editor" - the main control displaying the data) uses this data
>>> storage and by default display the complete scene. In the MITK
>>> Workbench under the "Preferences" dialog, there is an option to
>>> enable a "developer mode" for "Properties". With this mode enabled,
>>> The "Properties" view in the MITK Workbench allows you to override
>>> specific properties (like
>>> "visible") for specific render windows. Admittedly, this not an
>>> end-user feature and a little cumbersome to work with.
>>>
>>> For special applications, developers usually create their own render
>>> window editor and control visibility or similar properties in their
>>> plug-ins.
>>>
>>>> - Is MITK Workbench able to display multimodality images (e.g.
>>>> color-mapped PET over black-white CT) in slice windows?
>>> Yes, this one of the main requirements of the toolkit / Workbench.
>>>
>>>> - If not, at what coding level this could be implemented; just at
>>>> the "MITK toolkit" or also at the "application platform" level?
>>> Actually both. For maximum re-usability of existing code, people
>>> often create plug-ins for the MITK Workbench.
>>>
>>> Best,
>>> Sascha
>>>
>>>> Best Regards,
>>>> Urban
>>>>
>>>> On 10.1.2014 16:09, Sascha Zelzer wrote:
>>>>> Hi Urban,
>>>>>
>>>>> welcome to MITK!
>>>>>
>>>>> Disclaimer: I am one of the main MITK developers and know a few
>>>>> things about the Slicer architecture as well. I didn't use the
>>>>> Slicer end-user application extensively, though. We keep a friendly
>>>>> and collaborative atmosphere and meet regularly on various events.
>>>>> I try my best to be objective in the following statements.
>>>>>
>>>>> Both Slicer and MITK have a long history in the medical imaging
>>>>> community and are well known international toolkits / applications
>>>>> with a large user base.
>>>>>
>>>>> MITK positions itself as a multi-layered software platform (written
>>>>> in
>>>>> C++) with a focus on modularity and extensibility.
>>>>>
>>>>> It can be used as a traditional toolkit (aka using C++ shared
>>>>> libraries) which basically extends ITK and VTK. Many projects use
>>>>> MITK as a toolkit and build complete custom applications on top of it.
>>>>> Second, it provides an *application platform* on top of the toolkit
>>>>> for creating your own modular application. This is mostly used in
>>>>> mid-sized to large groups which need to deploy a modular
>>>>> application with custom plug-ins but which re-uses a configurable
>>>>> set of existing MITK functionality. Third, MITK provides an
>>>>> end-user application, called the MITK Workbench which is based on
>>>>> the application platform and aims to be an extensible and easy to
>>>>> use imaging platform, providing the most commonly needed functionality.
>>>>> Many groups also take the MITK Workbench and just add their own
>>>>> plug-ins to extend its functionality.
>>>>>
>>>>> The architecture of 3DSlicer is highly modular as well. As an
>>>>> out-of-the-box end-user application, Slicer contains many
>>>>> specialized imaging algorithms, allowing a wide range of research
>>>>> on existing imaging data without having to program your own
>>>>> plug-in. It can also be extended with different kind of "plug-ins".
>>>>> Some type of plug-ins can even be shared between an MITK
>>>>> application and 3DSlicer (so called CLI modules). In the end-user
>>>>> application, Slicer definitely contains more algorithms contributed
>>>>> by a multitude of plug-ins, whereas the MITK Workbench focuses on
>>>>> the basics and end-user usability. If you are into Python
>>>>> programming, Slicer also offers quite a few possibilities to either
>>>>> create Python plug-ins as CLIs or script Slicer functionality via
>>>>> Python. MITK provides some experimental Python scripting support
>>>>> for the Core library, but it is not as exhaustive as the Slice Python 
>>>>> support.
>>>>>
>>>>> If you are into building your own (C++) applications instead of
>>>>> using the provided end-user applications, MITK offers a lot of
>>>>> possibilities and flexibility. While you could probably use Slicer
>>>>> in that context as well, I am not aware of any projects using
>>>>> Slicer except for plug-in development for the existing 3DSlicer
>>>>> application (please tell me if you know any!). Further, MITK at its
>>>>> Core (toolkit level) depends only on VTK and ITK and has no GUI or
>>>>> Qt dependency. Slicer depends on Qt throughout its code-base.
>>>>>
>>>>> Regarding the documentation, Caspar already provided some useful
>>>>> links. We try to provide extensive documentation for the API as
>>>>> well as user documentation. However, documentation is never
>>>>> finished and there is always room for improvements.
>>>>>
>>>>> No matter what you decide to use, we are always interested in the
>>>>> outcome of such evaluations and what your decision process looked like!
>>>>>
>>>>> Best,
>>>>> Sascha
>>>>>
>>>>>
>>>>> On 01/08/2014 12:57 PM, Urban Simoncic wrote:
>>>>>> Dear MITK users,
>>>>>>
>>>>>> I am looking for the software platform that I can use for the
>>>>>> development of tool for medical image processing and visualization.
>>>>>> MITK
>>>>>> appears to be one good candidate. Another candidate is Slicer,
>>>>>> which appears to be very similar tool as the MITK.
>>>>>>
>>>>>> I would appreciate if anyone could explain me the differences
>>>>>> between these two tools. I am interested especially in the
>>>>>> modularity of the software and in the quality of the
>>>>>> documentation, but any other thoughts are welcome.
>>>>>>
>>>>>> Thanks,
>>>>>> Urban
>>>>>>
>>>>>> ------------------------------------------------------------------
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>>>
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